2322 Monetization Jobs - Page 8

Are you passionate about architecting, building, and maintaining next-generation platforms for real-time data delivery that power Microsoft’s multi-billion-dollar advertising business? On our team, you’ll design and evolve complex systems, apply AI and next-gen technologies to solve modern engineering challenges, and collaborate with Ads and Bing teams to enable new scenarios. We’re a fast-paced, inclusive team that values innovation, learning, and impact. If you’re self-driven and excited to tackle deep technical problems at scale while shaping the future of intelligent, next-gen platforms, we’d love to work with you. We’re looking for a solid Software Engineer II to join our Monetize engineering team, where you’ll help shape the future of ad delivery and monetization. You’ll work on systems that process massive volumes of data with strict latency and reliability requirements. The problems you’ll tackle include designing scalable APIs, optimizing auction logic, improving system observability, and enhancing live site resilience. You’ll collaborate with product managers, data scientists, and engineers across disciplines to deliver impactful solutions that scale globally. We’re looking for engineers who are curious, collaborative, and passionate about solving complex technical challenges. If you thrive in fast-paced environments, care deeply about engineering excellence, and want to build systems that make a measurable impact—this is the team for you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design and lead the implementation of large-scale applications and infrastructure for real-time data delivery, diagnostics, and monitoring. Continuously refine data pipelines and system architecture to improve performance, reliability, and cost efficiency. Analyze data, telemetry, and delivery logs to uncover insights that shape technical design, feature roadmaps, and long-term strategy. Collaborate with Ads and Bing teams to enable new scenarios, integrate shared infrastructure, and deliver unified solutions. Provide production support by fixing bugs and resolving live-site issues to ensure system availability and reliability. Use AI tools and techniques to enhance engineering workflows, automate processes, and unlock new capabilities. Support and mentor teams, foster collaboration, and uphold high standards of engineering professionalism and technical rigor. Qualifications Required Qualifications: Bachelor's Degree in Computer Science OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. 4+ years in golang, Java, Strong SQL expertise, Kafka, Hadoop and product development experience including memory management, multithreading, and performance optimization, cloud expertise, AI Proficiency in data structures and algorithms, with a solid grasp of system design principles. Hands-on experience with distributed systems, real-time data processing, and streaming platforms like Kafka or Event Hubs. Familiarity with cloud platforms (preferably Azure), including services for compute, storage, monitoring, and diagnostics. Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools. Exposure to AI/ML tools and frameworks, with the ability to apply them to engineering workflows and data-driven decision-making. Knowledge of observability practices, including telemetry, structured logging, and alerting systems. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility Working knowledge of any other cloud service Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases. Proven experience in shipping production-quality code in fast-paced environments. 4+ years of hands-on experience in realtime data delivery platforms, distributed systems, big data processing pipelines, or large-scale applications. Exposure to AI/ML concepts and practical application of AI tools to solve modern engineering challenges. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you passionate about architecting, building, and maintaining next-generation platforms for real-time data delivery that power Microsoft’s multi-billion-dollar advertising business? On our team, you’ll design and evolve complex systems, apply AI and next-gen technologies to solve modern engineering challenges, and collaborate with Ads and Bing teams to enable new scenarios. We’re a fast-paced, inclusive team that values innovation, learning, and impact. If you’re self-driven and excited to tackle deep technical problems at scale while shaping the future of intelligent, next-gen platforms, we’d love to work with you. We’re looking for a solid Software Engineer II to join our Monetize engineering team, where you’ll help shape the future of ad delivery and monetization. You’ll work on systems that process massive volumes of data with strict latency and reliability requirements. The problems you’ll tackle include designing scalable APIs, optimizing auction logic, improving system observability, and enhancing live site resilience. You’ll collaborate with product managers, data scientists, and engineers across disciplines to deliver impactful solutions that scale globally. We’re looking for engineers who are curious, collaborative, and passionate about solving complex technical challenges. If you thrive in fast-paced environments, care deeply about engineering excellence, and want to build systems that make a measurable impact—this is the team for you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design and lead the implementation of large-scale applications and infrastructure for real-time data delivery, diagnostics, and monitoring. Continuously refine data pipelines and system architecture to improve performance, reliability, and cost efficiency. Analyze data, telemetry, and delivery logs to uncover insights that shape technical design, feature roadmaps, and long-term strategy. Collaborate with Ads and Bing teams to enable new scenarios, integrate shared infrastructure, and deliver unified solutions. Provide production support by fixing bugs and resolving live-site issues to ensure system availability and reliability. Use AI tools and techniques to enhance engineering workflows, automate processes, and unlock new capabilities. Support and mentor teams, foster collaboration, and uphold high standards of engineering professionalism and technical rigor. Qualifications Required Qualifications: Bachelor's Degree in Computer Science OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. 4+ years in golang, Java, Strong SQL expertise, Kafka, Hadoop and product development experience including memory management, multithreading, and performance optimization, cloud expertise, AI Proficiency in data structures and algorithms, with a solid grasp of system design principles. Hands-on experience with distributed systems, real-time data processing, and streaming platforms like Kafka or Event Hubs. Familiarity with cloud platforms (preferably Azure), including services for compute, storage, monitoring, and diagnostics. Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools. Exposure to AI/ML tools and frameworks, with the ability to apply them to engineering workflows and data-driven decision-making. Knowledge of observability practices, including telemetry, structured logging, and alerting systems. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility Working knowledge of any other cloud service Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases. Proven experience in shipping production-quality code in fast-paced environments. 4+ years of hands-on experience in realtime data delivery platforms, distributed systems, big data processing pipelines, or large-scale applications. Exposure to AI/ML concepts and practical application of AI tools to solve modern engineering challenges. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you passionate about architecting, building, and maintaining next-generation platforms for real-time data delivery that power Microsoft’s multi-billion-dollar advertising business? On our team, you’ll design and evolve complex systems, apply AI and next-gen technologies to solve modern engineering challenges, and collaborate with Ads and Bing teams to enable new scenarios. We’re a fast-paced, inclusive team that values innovation, learning, and impact. If you’re self-driven and excited to tackle deep technical problems at scale while shaping the future of intelligent, next-gen platforms, we’d love to work with you. We’re looking for a solid Software Engineer II to join our Monetize engineering team, where you’ll help shape the future of ad delivery and monetization. You’ll work on systems that process massive volumes of data with strict latency and reliability requirements. The problems you’ll tackle include designing scalable APIs, optimizing auction logic, improving system observability, and enhancing live site resilience. You’ll collaborate with product managers, data scientists, and engineers across disciplines to deliver impactful solutions that scale globally. We’re looking for engineers who are curious, collaborative, and passionate about solving complex technical challenges. If you thrive in fast-paced environments, care deeply about engineering excellence, and want to build systems that make a measurable impact—this is the team for you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design and lead the implementation of large-scale applications and infrastructure for real-time data delivery, diagnostics, and monitoring. Continuously refine data pipelines and system architecture to improve performance, reliability, and cost efficiency. Analyze data, telemetry, and delivery logs to uncover insights that shape technical design, feature roadmaps, and long-term strategy. Collaborate with Ads and Bing teams to enable new scenarios, integrate shared infrastructure, and deliver unified solutions. Provide production support by fixing bugs and resolving live-site issues to ensure system availability and reliability. Use AI tools and techniques to enhance engineering workflows, automate processes, and unlock new capabilities. Support and mentor teams, foster collaboration, and uphold high standards of engineering professionalism and technical rigor. Qualifications Required Qualifications: Bachelor's Degree in Computer Science OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. 4+ years in golang, Java, Strong SQL expertise, Kafka, Hadoop and product development experience including memory management, multithreading, and performance optimization, cloud expertise, AI Proficiency in data structures and algorithms, with a solid grasp of system design principles. Hands-on experience with distributed systems, real-time data processing, and streaming platforms like Kafka or Event Hubs. Familiarity with cloud platforms (preferably Azure), including services for compute, storage, monitoring, and diagnostics. Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools. Exposure to AI/ML tools and frameworks, with the ability to apply them to engineering workflows and data-driven decision-making. Knowledge of observability practices, including telemetry, structured logging, and alerting systems. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility Working knowledge of any other cloud service Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases. Proven experience in shipping production-quality code in fast-paced environments. 4+ years of hands-on experience in realtime data delivery platforms, distributed systems, big data processing pipelines, or large-scale applications. Exposure to AI/ML concepts and practical application of AI tools to solve modern engineering challenges. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you passionate about architecting, building, and maintaining next-generation platforms for real-time data delivery that power Microsoft’s multi-billion-dollar advertising business? On our team, you’ll design and evolve complex systems, apply AI and next-gen technologies to solve modern engineering challenges, and collaborate with Ads and Bing teams to enable new scenarios. We’re a fast-paced, inclusive team that values innovation, learning, and impact. If you’re self-driven and excited to tackle deep technical problems at scale while shaping the future of intelligent, next-gen platforms, we’d love to work with you. We’re looking for a solid Software Engineer II to join our Monetize engineering team, where you’ll help shape the future of ad delivery and monetization. You’ll work on systems that process massive volumes of data with strict latency and reliability requirements. The problems you’ll tackle include designing scalable APIs, optimizing auction logic, improving system observability, and enhancing live site resilience. You’ll collaborate with product managers, data scientists, and engineers across disciplines to deliver impactful solutions that scale globally. We’re looking for engineers who are curious, collaborative, and passionate about solving complex technical challenges. If you thrive in fast-paced environments, care deeply about engineering excellence, and want to build systems that make a measurable impact—this is the team for you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design and lead the implementation of large-scale applications and infrastructure for real-time data delivery, diagnostics, and monitoring. Continuously refine data pipelines and system architecture to improve performance, reliability, and cost efficiency. Analyze data, telemetry, and delivery logs to uncover insights that shape technical design, feature roadmaps, and long-term strategy. Collaborate with Ads and Bing teams to enable new scenarios, integrate shared infrastructure, and deliver unified solutions. Provide production support by fixing bugs and resolving live-site issues to ensure system availability and reliability. Use AI tools and techniques to enhance engineering workflows, automate processes, and unlock new capabilities. Support and mentor teams, foster collaboration, and uphold high standards of engineering professionalism and technical rigor. Qualifications Required Qualifications: Bachelor's Degree in Computer Science OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. 4+ years in golang, Java, Strong SQL expertise, Kafka, Hadoop and product development experience including memory management, multithreading, and performance optimization, cloud expertise, AI Proficiency in data structures and algorithms, with a solid grasp of system design principles. Hands-on experience with distributed systems, real-time data processing, and streaming platforms like Kafka or Event Hubs. Familiarity with cloud platforms (preferably Azure), including services for compute, storage, monitoring, and diagnostics. Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools. Exposure to AI/ML tools and frameworks, with the ability to apply them to engineering workflows and data-driven decision-making. Knowledge of observability practices, including telemetry, structured logging, and alerting systems. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility Working knowledge of any other cloud service Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases. Proven experience in shipping production-quality code in fast-paced environments. 4+ years of hands-on experience in realtime data delivery platforms, distributed systems, big data processing pipelines, or large-scale applications. Exposure to AI/ML concepts and practical application of AI tools to solve modern engineering challenges. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you passionate about architecting, building, and maintaining next-generation platforms for real-time data delivery that power Microsoft’s multi-billion-dollar advertising business? On our team, you’ll design and evolve complex systems, apply AI and next-gen technologies to solve modern engineering challenges, and collaborate with Ads and Bing teams to enable new scenarios. We’re a fast-paced, inclusive team that values innovation, learning, and impact. If you’re self-driven and excited to tackle deep technical problems at scale while shaping the future of intelligent, next-gen platforms, we’d love to work with you. We’re looking for a solid Software Engineer II to join our Monetize engineering team, where you’ll help shape the future of ad delivery and monetization. You’ll work on systems that process massive volumes of data with strict latency and reliability requirements. The problems you’ll tackle include designing scalable APIs, optimizing auction logic, improving system observability, and enhancing live site resilience. You’ll collaborate with product managers, data scientists, and engineers across disciplines to deliver impactful solutions that scale globally. We’re looking for engineers who are curious, collaborative, and passionate about solving complex technical challenges. If you thrive in fast-paced environments, care deeply about engineering excellence, and want to build systems that make a measurable impact—this is the team for you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design and lead the implementation of large-scale applications and infrastructure for real-time data delivery, diagnostics, and monitoring. Continuously refine data pipelines and system architecture to improve performance, reliability, and cost efficiency. Analyze data, telemetry, and delivery logs to uncover insights that shape technical design, feature roadmaps, and long-term strategy. Collaborate with Ads and Bing teams to enable new scenarios, integrate shared infrastructure, and deliver unified solutions. Provide production support by fixing bugs and resolving live-site issues to ensure system availability and reliability. Use AI tools and techniques to enhance engineering workflows, automate processes, and unlock new capabilities. Support and mentor teams, foster collaboration, and uphold high standards of engineering professionalism and technical rigor. Qualifications Required Qualifications: Bachelor's Degree in Computer Science OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. 4+ years in golang, Java, Strong SQL expertise, Kafka, Hadoop and product development experience including memory management, multithreading, and performance optimization, cloud expertise, AI Proficiency in data structures and algorithms, with a solid grasp of system design principles. Hands-on experience with distributed systems, real-time data processing, and streaming platforms like Kafka or Event Hubs. Familiarity with cloud platforms (preferably Azure), including services for compute, storage, monitoring, and diagnostics. Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools. Exposure to AI/ML tools and frameworks, with the ability to apply them to engineering workflows and data-driven decision-making. Knowledge of observability practices, including telemetry, structured logging, and alerting systems. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility Working knowledge of any other cloud service Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases. Proven experience in shipping production-quality code in fast-paced environments. 4+ years of hands-on experience in realtime data delivery platforms, distributed systems, big data processing pipelines, or large-scale applications. Exposure to AI/ML concepts and practical application of AI tools to solve modern engineering challenges. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you passionate about architecting, building, and maintaining next-generation platforms for real-time data delivery that power Microsoft’s multi-billion-dollar advertising business? On our team, you’ll design and evolve complex systems, apply AI and next-gen technologies to solve modern engineering challenges, and collaborate with Ads and Bing teams to enable new scenarios. We’re a fast-paced, inclusive team that values innovation, learning, and impact. If you’re self-driven and excited to tackle deep technical problems at scale while shaping the future of intelligent, next-gen platforms, we’d love to work with you. We’re looking for a solid Software Engineer II to join our Monetize engineering team, where you’ll help shape the future of ad delivery and monetization. You’ll work on systems that process massive volumes of data with strict latency and reliability requirements. The problems you’ll tackle include designing scalable APIs, optimizing auction logic, improving system observability, and enhancing live site resilience. You’ll collaborate with product managers, data scientists, and engineers across disciplines to deliver impactful solutions that scale globally. We’re looking for engineers who are curious, collaborative, and passionate about solving complex technical challenges. If you thrive in fast-paced environments, care deeply about engineering excellence, and want to build systems that make a measurable impact—this is the team for you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design and lead the implementation of large-scale applications and infrastructure for real-time data delivery, diagnostics, and monitoring. Continuously refine data pipelines and system architecture to improve performance, reliability, and cost efficiency. Analyze data, telemetry, and delivery logs to uncover insights that shape technical design, feature roadmaps, and long-term strategy. Collaborate with Ads and Bing teams to enable new scenarios, integrate shared infrastructure, and deliver unified solutions. Provide production support by fixing bugs and resolving live-site issues to ensure system availability and reliability. Use AI tools and techniques to enhance engineering workflows, automate processes, and unlock new capabilities. Support and mentor teams, foster collaboration, and uphold high standards of engineering professionalism and technical rigor. Qualifications Required Qualifications: Bachelor's Degree in Computer Science OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. 4+ years in golang, Java, Strong SQL expertise, Kafka, Hadoop and product development experience including memory management, multithreading, and performance optimization, cloud expertise, AI Proficiency in data structures and algorithms, with a solid grasp of system design principles. Hands-on experience with distributed systems, real-time data processing, and streaming platforms like Kafka or Event Hubs. Familiarity with cloud platforms (preferably Azure), including services for compute, storage, monitoring, and diagnostics. Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools. Exposure to AI/ML tools and frameworks, with the ability to apply them to engineering workflows and data-driven decision-making. Knowledge of observability practices, including telemetry, structured logging, and alerting systems. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility Working knowledge of any other cloud service Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases. Proven experience in shipping production-quality code in fast-paced environments. 4+ years of hands-on experience in realtime data delivery platforms, distributed systems, big data processing pipelines, or large-scale applications. Exposure to AI/ML concepts and practical application of AI tools to solve modern engineering challenges. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you passionate about architecting, building, and maintaining next-generation platforms for real-time data delivery that power Microsoft’s multi-billion-dollar advertising business? On our team, you’ll design and evolve complex systems, apply AI and next-gen technologies to solve modern engineering challenges, and collaborate with Ads and Bing teams to enable new scenarios. We’re a fast-paced, inclusive team that values innovation, learning, and impact. If you’re self-driven and excited to tackle deep technical problems at scale while shaping the future of intelligent, next-gen platforms, we’d love to work with you. We’re looking for a solid Software Engineer II to join our Monetize engineering team, where you’ll help shape the future of ad delivery and monetization. You’ll work on systems that process massive volumes of data with strict latency and reliability requirements. The problems you’ll tackle include designing scalable APIs, optimizing auction logic, improving system observability, and enhancing live site resilience. You’ll collaborate with product managers, data scientists, and engineers across disciplines to deliver impactful solutions that scale globally. We’re looking for engineers who are curious, collaborative, and passionate about solving complex technical challenges. If you thrive in fast-paced environments, care deeply about engineering excellence, and want to build systems that make a measurable impact—this is the team for you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design and lead the implementation of large-scale applications and infrastructure for real-time data delivery, diagnostics, and monitoring. Continuously refine data pipelines and system architecture to improve performance, reliability, and cost efficiency. Analyze data, telemetry, and delivery logs to uncover insights that shape technical design, feature roadmaps, and long-term strategy. Collaborate with Ads and Bing teams to enable new scenarios, integrate shared infrastructure, and deliver unified solutions. Provide production support by fixing bugs and resolving live-site issues to ensure system availability and reliability. Use AI tools and techniques to enhance engineering workflows, automate processes, and unlock new capabilities. Support and mentor teams, foster collaboration, and uphold high standards of engineering professionalism and technical rigor. Qualifications Required Qualifications: Bachelor's Degree in Computer Science OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. 4+ years in golang, Java, Strong SQL expertise, Kafka, Hadoop and product development experience including memory management, multithreading, and performance optimization, cloud expertise, AI Proficiency in data structures and algorithms, with a solid grasp of system design principles. Hands-on experience with distributed systems, real-time data processing, and streaming platforms like Kafka or Event Hubs. Familiarity with cloud platforms (preferably Azure), including services for compute, storage, monitoring, and diagnostics. Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools. Exposure to AI/ML tools and frameworks, with the ability to apply them to engineering workflows and data-driven decision-making. Knowledge of observability practices, including telemetry, structured logging, and alerting systems. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility Working knowledge of any other cloud service Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases. Proven experience in shipping production-quality code in fast-paced environments. 4+ years of hands-on experience in realtime data delivery platforms, distributed systems, big data processing pipelines, or large-scale applications. Exposure to AI/ML concepts and practical application of AI tools to solve modern engineering challenges. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you passionate about architecting, building, and maintaining next-generation platforms for real-time data delivery that power Microsoft’s multi-billion-dollar advertising business? On our team, you’ll design and evolve complex systems, apply AI and next-gen technologies to solve modern engineering challenges, and collaborate with Ads and Bing teams to enable new scenarios. We’re a fast-paced, inclusive team that values innovation, learning, and impact. If you’re self-driven and excited to tackle deep technical problems at scale while shaping the future of intelligent, next-gen platforms, we’d love to work with you. We’re looking for a solid Software Engineer II to join our Monetize engineering team, where you’ll help shape the future of ad delivery and monetization. You’ll work on systems that process massive volumes of data with strict latency and reliability requirements. The problems you’ll tackle include designing scalable APIs, optimizing auction logic, improving system observability, and enhancing live site resilience. You’ll collaborate with product managers, data scientists, and engineers across disciplines to deliver impactful solutions that scale globally. We’re looking for engineers who are curious, collaborative, and passionate about solving complex technical challenges. If you thrive in fast-paced environments, care deeply about engineering excellence, and want to build systems that make a measurable impact—this is the team for you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design and lead the implementation of large-scale applications and infrastructure for real-time data delivery, diagnostics, and monitoring. Continuously refine data pipelines and system architecture to improve performance, reliability, and cost efficiency. Analyze data, telemetry, and delivery logs to uncover insights that shape technical design, feature roadmaps, and long-term strategy. Collaborate with Ads and Bing teams to enable new scenarios, integrate shared infrastructure, and deliver unified solutions. Provide production support by fixing bugs and resolving live-site issues to ensure system availability and reliability. Use AI tools and techniques to enhance engineering workflows, automate processes, and unlock new capabilities. Support and mentor teams, foster collaboration, and uphold high standards of engineering professionalism and technical rigor. Qualifications Required Qualifications: Bachelor's Degree in Computer Science OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. 4+ years in golang, Java, Strong SQL expertise, Kafka, Hadoop and product development experience including memory management, multithreading, and performance optimization, cloud expertise, AI Proficiency in data structures and algorithms, with a solid grasp of system design principles. Hands-on experience with distributed systems, real-time data processing, and streaming platforms like Kafka or Event Hubs. Familiarity with cloud platforms (preferably Azure), including services for compute, storage, monitoring, and diagnostics. Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools. Exposure to AI/ML tools and frameworks, with the ability to apply them to engineering workflows and data-driven decision-making. Knowledge of observability practices, including telemetry, structured logging, and alerting systems. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility Working knowledge of any other cloud service Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases. Proven experience in shipping production-quality code in fast-paced environments. 4+ years of hands-on experience in realtime data delivery platforms, distributed systems, big data processing pipelines, or large-scale applications. Exposure to AI/ML concepts and practical application of AI tools to solve modern engineering challenges. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you passionate about architecting, building, and maintaining next-generation platforms for real-time data delivery that power Microsoft’s multi-billion-dollar advertising business? On our team, you’ll design and evolve complex systems, apply AI and next-gen technologies to solve modern engineering challenges, and collaborate with Ads and Bing teams to enable new scenarios. We’re a fast-paced, inclusive team that values innovation, learning, and impact. If you’re self-driven and excited to tackle deep technical problems at scale while shaping the future of intelligent, next-gen platforms, we’d love to work with you. We’re looking for a solid Software Engineer II to join our Monetize engineering team, where you’ll help shape the future of ad delivery and monetization. You’ll work on systems that process massive volumes of data with strict latency and reliability requirements. The problems you’ll tackle include designing scalable APIs, optimizing auction logic, improving system observability, and enhancing live site resilience. You’ll collaborate with product managers, data scientists, and engineers across disciplines to deliver impactful solutions that scale globally. We’re looking for engineers who are curious, collaborative, and passionate about solving complex technical challenges. If you thrive in fast-paced environments, care deeply about engineering excellence, and want to build systems that make a measurable impact—this is the team for you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design and lead the implementation of large-scale applications and infrastructure for real-time data delivery, diagnostics, and monitoring. Continuously refine data pipelines and system architecture to improve performance, reliability, and cost efficiency. Analyze data, telemetry, and delivery logs to uncover insights that shape technical design, feature roadmaps, and long-term strategy. Collaborate with Ads and Bing teams to enable new scenarios, integrate shared infrastructure, and deliver unified solutions. Provide production support by fixing bugs and resolving live-site issues to ensure system availability and reliability. Use AI tools and techniques to enhance engineering workflows, automate processes, and unlock new capabilities. Support and mentor teams, foster collaboration, and uphold high standards of engineering professionalism and technical rigor. Qualifications Required Qualifications: Bachelor's Degree in Computer Science OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. 4+ years in golang, Java, Strong SQL expertise, Kafka, Hadoop and product development experience including memory management, multithreading, and performance optimization, cloud expertise, AI Proficiency in data structures and algorithms, with a solid grasp of system design principles. Hands-on experience with distributed systems, real-time data processing, and streaming platforms like Kafka or Event Hubs. Familiarity with cloud platforms (preferably Azure), including services for compute, storage, monitoring, and diagnostics. Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools. Exposure to AI/ML tools and frameworks, with the ability to apply them to engineering workflows and data-driven decision-making. Knowledge of observability practices, including telemetry, structured logging, and alerting systems. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility Working knowledge of any other cloud service Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases. Proven experience in shipping production-quality code in fast-paced environments. 4+ years of hands-on experience in realtime data delivery platforms, distributed systems, big data processing pipelines, or large-scale applications. Exposure to AI/ML concepts and practical application of AI tools to solve modern engineering challenges. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you passionate about architecting, building, and maintaining next-generation platforms for real-time data delivery that power Microsoft’s multi-billion-dollar advertising business? On our team, you’ll design and evolve complex systems, apply AI and next-gen technologies to solve modern engineering challenges, and collaborate with Ads and Bing teams to enable new scenarios. We’re a fast-paced, inclusive team that values innovation, learning, and impact. If you’re self-driven and excited to tackle deep technical problems at scale while shaping the future of intelligent, next-gen platforms, we’d love to work with you. We’re looking for a solid Software Engineer II to join our Monetize engineering team, where you’ll help shape the future of ad delivery and monetization. You’ll work on systems that process massive volumes of data with strict latency and reliability requirements. The problems you’ll tackle include designing scalable APIs, optimizing auction logic, improving system observability, and enhancing live site resilience. You’ll collaborate with product managers, data scientists, and engineers across disciplines to deliver impactful solutions that scale globally. We’re looking for engineers who are curious, collaborative, and passionate about solving complex technical challenges. If you thrive in fast-paced environments, care deeply about engineering excellence, and want to build systems that make a measurable impact—this is the team for you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design and lead the implementation of large-scale applications and infrastructure for real-time data delivery, diagnostics, and monitoring. Continuously refine data pipelines and system architecture to improve performance, reliability, and cost efficiency. Analyze data, telemetry, and delivery logs to uncover insights that shape technical design, feature roadmaps, and long-term strategy. Collaborate with Ads and Bing teams to enable new scenarios, integrate shared infrastructure, and deliver unified solutions. Provide production support by fixing bugs and resolving live-site issues to ensure system availability and reliability. Use AI tools and techniques to enhance engineering workflows, automate processes, and unlock new capabilities. Support and mentor teams, foster collaboration, and uphold high standards of engineering professionalism and technical rigor. Qualifications Required Qualifications: Bachelor's Degree in Computer Science OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. 4+ years in golang, Java, Strong SQL expertise, Kafka, Hadoop and product development experience including memory management, multithreading, and performance optimization, cloud expertise, AI Proficiency in data structures and algorithms, with a solid grasp of system design principles. Hands-on experience with distributed systems, real-time data processing, and streaming platforms like Kafka or Event Hubs. Familiarity with cloud platforms (preferably Azure), including services for compute, storage, monitoring, and diagnostics. Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools. Exposure to AI/ML tools and frameworks, with the ability to apply them to engineering workflows and data-driven decision-making. Knowledge of observability practices, including telemetry, structured logging, and alerting systems. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility Working knowledge of any other cloud service Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases. Proven experience in shipping production-quality code in fast-paced environments. 4+ years of hands-on experience in realtime data delivery platforms, distributed systems, big data processing pipelines, or large-scale applications. Exposure to AI/ML concepts and practical application of AI tools to solve modern engineering challenges. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you passionate about architecting, building, and maintaining next-generation platforms for real-time data delivery that power Microsoft’s multi-billion-dollar advertising business? On our team, you’ll design and evolve complex systems, apply AI and next-gen technologies to solve modern engineering challenges, and collaborate with Ads and Bing teams to enable new scenarios. We’re a fast-paced, inclusive team that values innovation, learning, and impact. If you’re self-driven and excited to tackle deep technical problems at scale while shaping the future of intelligent, next-gen platforms, we’d love to work with you. We’re looking for a solid Software Engineer II to join our Monetize engineering team, where you’ll help shape the future of ad delivery and monetization. You’ll work on systems that process massive volumes of data with strict latency and reliability requirements. The problems you’ll tackle include designing scalable APIs, optimizing auction logic, improving system observability, and enhancing live site resilience. You’ll collaborate with product managers, data scientists, and engineers across disciplines to deliver impactful solutions that scale globally. We’re looking for engineers who are curious, collaborative, and passionate about solving complex technical challenges. If you thrive in fast-paced environments, care deeply about engineering excellence, and want to build systems that make a measurable impact—this is the team for you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design and lead the implementation of large-scale applications and infrastructure for real-time data delivery, diagnostics, and monitoring. Continuously refine data pipelines and system architecture to improve performance, reliability, and cost efficiency. Analyze data, telemetry, and delivery logs to uncover insights that shape technical design, feature roadmaps, and long-term strategy. Collaborate with Ads and Bing teams to enable new scenarios, integrate shared infrastructure, and deliver unified solutions. Provide production support by fixing bugs and resolving live-site issues to ensure system availability and reliability. Use AI tools and techniques to enhance engineering workflows, automate processes, and unlock new capabilities. Support and mentor teams, foster collaboration, and uphold high standards of engineering professionalism and technical rigor. Qualifications Required Qualifications: Bachelor's Degree in Computer Science OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. 4+ years in golang, Java, Strong SQL expertise, Kafka, Hadoop and product development experience including memory management, multithreading, and performance optimization, cloud expertise, AI Proficiency in data structures and algorithms, with a solid grasp of system design principles. Hands-on experience with distributed systems, real-time data processing, and streaming platforms like Kafka or Event Hubs. Familiarity with cloud platforms (preferably Azure), including services for compute, storage, monitoring, and diagnostics. Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools. Exposure to AI/ML tools and frameworks, with the ability to apply them to engineering workflows and data-driven decision-making. Knowledge of observability practices, including telemetry, structured logging, and alerting systems. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility Working knowledge of any other cloud service Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases. Proven experience in shipping production-quality code in fast-paced environments. 4+ years of hands-on experience in realtime data delivery platforms, distributed systems, big data processing pipelines, or large-scale applications. Exposure to AI/ML concepts and practical application of AI tools to solve modern engineering challenges. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you passionate about architecting, building, and maintaining next-generation platforms for real-time data delivery that power Microsoft’s multi-billion-dollar advertising business? On our team, you’ll design and evolve complex systems, apply AI and next-gen technologies to solve modern engineering challenges, and collaborate with Ads and Bing teams to enable new scenarios. We’re a fast-paced, inclusive team that values innovation, learning, and impact. If you’re self-driven and excited to tackle deep technical problems at scale while shaping the future of intelligent, next-gen platforms, we’d love to work with you. We’re looking for a solid Software Engineer II to join our Monetize engineering team, where you’ll help shape the future of ad delivery and monetization. You’ll work on systems that process massive volumes of data with strict latency and reliability requirements. The problems you’ll tackle include designing scalable APIs, optimizing auction logic, improving system observability, and enhancing live site resilience. You’ll collaborate with product managers, data scientists, and engineers across disciplines to deliver impactful solutions that scale globally. We’re looking for engineers who are curious, collaborative, and passionate about solving complex technical challenges. If you thrive in fast-paced environments, care deeply about engineering excellence, and want to build systems that make a measurable impact—this is the team for you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design and lead the implementation of large-scale applications and infrastructure for real-time data delivery, diagnostics, and monitoring. Continuously refine data pipelines and system architecture to improve performance, reliability, and cost efficiency. Analyze data, telemetry, and delivery logs to uncover insights that shape technical design, feature roadmaps, and long-term strategy. Collaborate with Ads and Bing teams to enable new scenarios, integrate shared infrastructure, and deliver unified solutions. Provide production support by fixing bugs and resolving live-site issues to ensure system availability and reliability. Use AI tools and techniques to enhance engineering workflows, automate processes, and unlock new capabilities. Support and mentor teams, foster collaboration, and uphold high standards of engineering professionalism and technical rigor. Qualifications Required Qualifications: Bachelor's Degree in Computer Science OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. 4+ years in golang, Java, Strong SQL expertise, Kafka, Hadoop and product development experience including memory management, multithreading, and performance optimization, cloud expertise, AI Proficiency in data structures and algorithms, with a solid grasp of system design principles. Hands-on experience with distributed systems, real-time data processing, and streaming platforms like Kafka or Event Hubs. Familiarity with cloud platforms (preferably Azure), including services for compute, storage, monitoring, and diagnostics. Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools. Exposure to AI/ML tools and frameworks, with the ability to apply them to engineering workflows and data-driven decision-making. Knowledge of observability practices, including telemetry, structured logging, and alerting systems. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility Working knowledge of any other cloud service Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases. Proven experience in shipping production-quality code in fast-paced environments. 4+ years of hands-on experience in realtime data delivery platforms, distributed systems, big data processing pipelines, or large-scale applications. Exposure to AI/ML concepts and practical application of AI tools to solve modern engineering challenges. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you passionate about architecting, building, and maintaining next-generation platforms for real-time data delivery that power Microsoft’s multi-billion-dollar advertising business? On our team, you’ll design and evolve complex systems, apply AI and next-gen technologies to solve modern engineering challenges, and collaborate with Ads and Bing teams to enable new scenarios. We’re a fast-paced, inclusive team that values innovation, learning, and impact. If you’re self-driven and excited to tackle deep technical problems at scale while shaping the future of intelligent, next-gen platforms, we’d love to work with you. We’re looking for a solid Software Engineer II to join our Monetize engineering team, where you’ll help shape the future of ad delivery and monetization. You’ll work on systems that process massive volumes of data with strict latency and reliability requirements. The problems you’ll tackle include designing scalable APIs, optimizing auction logic, improving system observability, and enhancing live site resilience. You’ll collaborate with product managers, data scientists, and engineers across disciplines to deliver impactful solutions that scale globally. We’re looking for engineers who are curious, collaborative, and passionate about solving complex technical challenges. If you thrive in fast-paced environments, care deeply about engineering excellence, and want to build systems that make a measurable impact—this is the team for you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design and lead the implementation of large-scale applications and infrastructure for real-time data delivery, diagnostics, and monitoring. Continuously refine data pipelines and system architecture to improve performance, reliability, and cost efficiency. Analyze data, telemetry, and delivery logs to uncover insights that shape technical design, feature roadmaps, and long-term strategy. Collaborate with Ads and Bing teams to enable new scenarios, integrate shared infrastructure, and deliver unified solutions. Provide production support by fixing bugs and resolving live-site issues to ensure system availability and reliability. Use AI tools and techniques to enhance engineering workflows, automate processes, and unlock new capabilities. Support and mentor teams, foster collaboration, and uphold high standards of engineering professionalism and technical rigor. Qualifications Required Qualifications: Bachelor's Degree in Computer Science OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. 4+ years in golang, Java, Strong SQL expertise, Kafka, Hadoop and product development experience including memory management, multithreading, and performance optimization, cloud expertise, AI Proficiency in data structures and algorithms, with a solid grasp of system design principles. Hands-on experience with distributed systems, real-time data processing, and streaming platforms like Kafka or Event Hubs. Familiarity with cloud platforms (preferably Azure), including services for compute, storage, monitoring, and diagnostics. Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools. Exposure to AI/ML tools and frameworks, with the ability to apply them to engineering workflows and data-driven decision-making. Knowledge of observability practices, including telemetry, structured logging, and alerting systems. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility Working knowledge of any other cloud service Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases. Proven experience in shipping production-quality code in fast-paced environments. 4+ years of hands-on experience in realtime data delivery platforms, distributed systems, big data processing pipelines, or large-scale applications. Exposure to AI/ML concepts and practical application of AI tools to solve modern engineering challenges. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you passionate about architecting, building, and maintaining next-generation platforms for real-time data delivery that power Microsoft’s multi-billion-dollar advertising business? On our team, you’ll design and evolve complex systems, apply AI and next-gen technologies to solve modern engineering challenges, and collaborate with Ads and Bing teams to enable new scenarios. We’re a fast-paced, inclusive team that values innovation, learning, and impact. If you’re self-driven and excited to tackle deep technical problems at scale while shaping the future of intelligent, next-gen platforms, we’d love to work with you. We’re looking for a solid Software Engineer II to join our Monetize engineering team, where you’ll help shape the future of ad delivery and monetization. You’ll work on systems that process massive volumes of data with strict latency and reliability requirements. The problems you’ll tackle include designing scalable APIs, optimizing auction logic, improving system observability, and enhancing live site resilience. You’ll collaborate with product managers, data scientists, and engineers across disciplines to deliver impactful solutions that scale globally. We’re looking for engineers who are curious, collaborative, and passionate about solving complex technical challenges. If you thrive in fast-paced environments, care deeply about engineering excellence, and want to build systems that make a measurable impact—this is the team for you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design and lead the implementation of large-scale applications and infrastructure for real-time data delivery, diagnostics, and monitoring. Continuously refine data pipelines and system architecture to improve performance, reliability, and cost efficiency. Analyze data, telemetry, and delivery logs to uncover insights that shape technical design, feature roadmaps, and long-term strategy. Collaborate with Ads and Bing teams to enable new scenarios, integrate shared infrastructure, and deliver unified solutions. Provide production support by fixing bugs and resolving live-site issues to ensure system availability and reliability. Use AI tools and techniques to enhance engineering workflows, automate processes, and unlock new capabilities. Support and mentor teams, foster collaboration, and uphold high standards of engineering professionalism and technical rigor. Qualifications Required Qualifications: Bachelor's Degree in Computer Science OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. 4+ years in golang, Java, Strong SQL expertise, Kafka, Hadoop and product development experience including memory management, multithreading, and performance optimization, cloud expertise, AI Proficiency in data structures and algorithms, with a solid grasp of system design principles. Hands-on experience with distributed systems, real-time data processing, and streaming platforms like Kafka or Event Hubs. Familiarity with cloud platforms (preferably Azure), including services for compute, storage, monitoring, and diagnostics. Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools. Exposure to AI/ML tools and frameworks, with the ability to apply them to engineering workflows and data-driven decision-making. Knowledge of observability practices, including telemetry, structured logging, and alerting systems. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility Working knowledge of any other cloud service Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases. Proven experience in shipping production-quality code in fast-paced environments. 4+ years of hands-on experience in realtime data delivery platforms, distributed systems, big data processing pipelines, or large-scale applications. Exposure to AI/ML concepts and practical application of AI tools to solve modern engineering challenges. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you passionate about architecting, building, and maintaining next-generation platforms for real-time data delivery that power Microsoft’s multi-billion-dollar advertising business? On our team, you’ll design and evolve complex systems, apply AI and next-gen technologies to solve modern engineering challenges, and collaborate with Ads and Bing teams to enable new scenarios. We’re a fast-paced, inclusive team that values innovation, learning, and impact. If you’re self-driven and excited to tackle deep technical problems at scale while shaping the future of intelligent, next-gen platforms, we’d love to work with you. We’re looking for a solid Software Engineer II to join our Monetize engineering team, where you’ll help shape the future of ad delivery and monetization. You’ll work on systems that process massive volumes of data with strict latency and reliability requirements. The problems you’ll tackle include designing scalable APIs, optimizing auction logic, improving system observability, and enhancing live site resilience. You’ll collaborate with product managers, data scientists, and engineers across disciplines to deliver impactful solutions that scale globally. We’re looking for engineers who are curious, collaborative, and passionate about solving complex technical challenges. If you thrive in fast-paced environments, care deeply about engineering excellence, and want to build systems that make a measurable impact—this is the team for you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design and lead the implementation of large-scale applications and infrastructure for real-time data delivery, diagnostics, and monitoring. Continuously refine data pipelines and system architecture to improve performance, reliability, and cost efficiency. Analyze data, telemetry, and delivery logs to uncover insights that shape technical design, feature roadmaps, and long-term strategy. Collaborate with Ads and Bing teams to enable new scenarios, integrate shared infrastructure, and deliver unified solutions. Provide production support by fixing bugs and resolving live-site issues to ensure system availability and reliability. Use AI tools and techniques to enhance engineering workflows, automate processes, and unlock new capabilities. Support and mentor teams, foster collaboration, and uphold high standards of engineering professionalism and technical rigor. Qualifications Required Qualifications: Bachelor's Degree in Computer Science OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. 4+ years in golang, Java, Strong SQL expertise, Kafka, Hadoop and product development experience including memory management, multithreading, and performance optimization, cloud expertise, AI Proficiency in data structures and algorithms, with a solid grasp of system design principles. Hands-on experience with distributed systems, real-time data processing, and streaming platforms like Kafka or Event Hubs. Familiarity with cloud platforms (preferably Azure), including services for compute, storage, monitoring, and diagnostics. Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools. Exposure to AI/ML tools and frameworks, with the ability to apply them to engineering workflows and data-driven decision-making. Knowledge of observability practices, including telemetry, structured logging, and alerting systems. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility Working knowledge of any other cloud service Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases. Proven experience in shipping production-quality code in fast-paced environments. 4+ years of hands-on experience in realtime data delivery platforms, distributed systems, big data processing pipelines, or large-scale applications. Exposure to AI/ML concepts and practical application of AI tools to solve modern engineering challenges. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you passionate about architecting, building, and maintaining next-generation platforms for real-time data delivery that power Microsoft’s multi-billion-dollar advertising business? On our team, you’ll design and evolve complex systems, apply AI and next-gen technologies to solve modern engineering challenges, and collaborate with Ads and Bing teams to enable new scenarios. We’re a fast-paced, inclusive team that values innovation, learning, and impact. If you’re self-driven and excited to tackle deep technical problems at scale while shaping the future of intelligent, next-gen platforms, we’d love to work with you. We’re looking for a solid Software Engineer II to join our Monetize engineering team, where you’ll help shape the future of ad delivery and monetization. You’ll work on systems that process massive volumes of data with strict latency and reliability requirements. The problems you’ll tackle include designing scalable APIs, optimizing auction logic, improving system observability, and enhancing live site resilience. You’ll collaborate with product managers, data scientists, and engineers across disciplines to deliver impactful solutions that scale globally. We’re looking for engineers who are curious, collaborative, and passionate about solving complex technical challenges. If you thrive in fast-paced environments, care deeply about engineering excellence, and want to build systems that make a measurable impact—this is the team for you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design and lead the implementation of large-scale applications and infrastructure for real-time data delivery, diagnostics, and monitoring. Continuously refine data pipelines and system architecture to improve performance, reliability, and cost efficiency. Analyze data, telemetry, and delivery logs to uncover insights that shape technical design, feature roadmaps, and long-term strategy. Collaborate with Ads and Bing teams to enable new scenarios, integrate shared infrastructure, and deliver unified solutions. Provide production support by fixing bugs and resolving live-site issues to ensure system availability and reliability. Use AI tools and techniques to enhance engineering workflows, automate processes, and unlock new capabilities. Support and mentor teams, foster collaboration, and uphold high standards of engineering professionalism and technical rigor. Qualifications Required Qualifications: Bachelor's Degree in Computer Science OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. 4+ years in golang, Java, Strong SQL expertise, Kafka, Hadoop and product development experience including memory management, multithreading, and performance optimization, cloud expertise, AI Proficiency in data structures and algorithms, with a solid grasp of system design principles. Hands-on experience with distributed systems, real-time data processing, and streaming platforms like Kafka or Event Hubs. Familiarity with cloud platforms (preferably Azure), including services for compute, storage, monitoring, and diagnostics. Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools. Exposure to AI/ML tools and frameworks, with the ability to apply them to engineering workflows and data-driven decision-making. Knowledge of observability practices, including telemetry, structured logging, and alerting systems. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility Working knowledge of any other cloud service Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases. Proven experience in shipping production-quality code in fast-paced environments. 4+ years of hands-on experience in realtime data delivery platforms, distributed systems, big data processing pipelines, or large-scale applications. Exposure to AI/ML concepts and practical application of AI tools to solve modern engineering challenges. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you passionate about architecting, building, and maintaining next-generation platforms for real-time data delivery that power Microsoft’s multi-billion-dollar advertising business? On our team, you’ll design and evolve complex systems, apply AI and next-gen technologies to solve modern engineering challenges, and collaborate with Ads and Bing teams to enable new scenarios. We’re a fast-paced, inclusive team that values innovation, learning, and impact. If you’re self-driven and excited to tackle deep technical problems at scale while shaping the future of intelligent, next-gen platforms, we’d love to work with you. We’re looking for a solid Software Engineer II to join our Monetize engineering team, where you’ll help shape the future of ad delivery and monetization. You’ll work on systems that process massive volumes of data with strict latency and reliability requirements. The problems you’ll tackle include designing scalable APIs, optimizing auction logic, improving system observability, and enhancing live site resilience. You’ll collaborate with product managers, data scientists, and engineers across disciplines to deliver impactful solutions that scale globally. We’re looking for engineers who are curious, collaborative, and passionate about solving complex technical challenges. If you thrive in fast-paced environments, care deeply about engineering excellence, and want to build systems that make a measurable impact—this is the team for you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design and lead the implementation of large-scale applications and infrastructure for real-time data delivery, diagnostics, and monitoring. Continuously refine data pipelines and system architecture to improve performance, reliability, and cost efficiency. Analyze data, telemetry, and delivery logs to uncover insights that shape technical design, feature roadmaps, and long-term strategy. Collaborate with Ads and Bing teams to enable new scenarios, integrate shared infrastructure, and deliver unified solutions. Provide production support by fixing bugs and resolving live-site issues to ensure system availability and reliability. Use AI tools and techniques to enhance engineering workflows, automate processes, and unlock new capabilities. Support and mentor teams, foster collaboration, and uphold high standards of engineering professionalism and technical rigor. Qualifications Required Qualifications: Bachelor's Degree in Computer Science OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. 4+ years in golang, Java, Strong SQL expertise, Kafka, Hadoop and product development experience including memory management, multithreading, and performance optimization, cloud expertise, AI Proficiency in data structures and algorithms, with a solid grasp of system design principles. Hands-on experience with distributed systems, real-time data processing, and streaming platforms like Kafka or Event Hubs. Familiarity with cloud platforms (preferably Azure), including services for compute, storage, monitoring, and diagnostics. Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools. Exposure to AI/ML tools and frameworks, with the ability to apply them to engineering workflows and data-driven decision-making. Knowledge of observability practices, including telemetry, structured logging, and alerting systems. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility Working knowledge of any other cloud service Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases. Proven experience in shipping production-quality code in fast-paced environments. 4+ years of hands-on experience in realtime data delivery platforms, distributed systems, big data processing pipelines, or large-scale applications. Exposure to AI/ML concepts and practical application of AI tools to solve modern engineering challenges. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you passionate about architecting, building, and maintaining next-generation platforms for real-time data delivery that power Microsoft’s multi-billion-dollar advertising business? On our team, you’ll design and evolve complex systems, apply AI and next-gen technologies to solve modern engineering challenges, and collaborate with Ads and Bing teams to enable new scenarios. We’re a fast-paced, inclusive team that values innovation, learning, and impact. If you’re self-driven and excited to tackle deep technical problems at scale while shaping the future of intelligent, next-gen platforms, we’d love to work with you. We’re looking for a solid Software Engineer II to join our Monetize engineering team, where you’ll help shape the future of ad delivery and monetization. You’ll work on systems that process massive volumes of data with strict latency and reliability requirements. The problems you’ll tackle include designing scalable APIs, optimizing auction logic, improving system observability, and enhancing live site resilience. You’ll collaborate with product managers, data scientists, and engineers across disciplines to deliver impactful solutions that scale globally. We’re looking for engineers who are curious, collaborative, and passionate about solving complex technical challenges. If you thrive in fast-paced environments, care deeply about engineering excellence, and want to build systems that make a measurable impact—this is the team for you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design and lead the implementation of large-scale applications and infrastructure for real-time data delivery, diagnostics, and monitoring. Continuously refine data pipelines and system architecture to improve performance, reliability, and cost efficiency. Analyze data, telemetry, and delivery logs to uncover insights that shape technical design, feature roadmaps, and long-term strategy. Collaborate with Ads and Bing teams to enable new scenarios, integrate shared infrastructure, and deliver unified solutions. Provide production support by fixing bugs and resolving live-site issues to ensure system availability and reliability. Use AI tools and techniques to enhance engineering workflows, automate processes, and unlock new capabilities. Support and mentor teams, foster collaboration, and uphold high standards of engineering professionalism and technical rigor. Qualifications Required Qualifications: Bachelor's Degree in Computer Science OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. 4+ years in golang, Java, Strong SQL expertise, Kafka, Hadoop and product development experience including memory management, multithreading, and performance optimization, cloud expertise, AI Proficiency in data structures and algorithms, with a solid grasp of system design principles. Hands-on experience with distributed systems, real-time data processing, and streaming platforms like Kafka or Event Hubs. Familiarity with cloud platforms (preferably Azure), including services for compute, storage, monitoring, and diagnostics. Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools. Exposure to AI/ML tools and frameworks, with the ability to apply them to engineering workflows and data-driven decision-making. Knowledge of observability practices, including telemetry, structured logging, and alerting systems. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility Working knowledge of any other cloud service Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases. Proven experience in shipping production-quality code in fast-paced environments. 4+ years of hands-on experience in realtime data delivery platforms, distributed systems, big data processing pipelines, or large-scale applications. Exposure to AI/ML concepts and practical application of AI tools to solve modern engineering challenges. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you passionate about architecting, building, and maintaining next-generation platforms for real-time data delivery that power Microsoft’s multi-billion-dollar advertising business? On our team, you’ll design and evolve complex systems, apply AI and next-gen technologies to solve modern engineering challenges, and collaborate with Ads and Bing teams to enable new scenarios. We’re a fast-paced, inclusive team that values innovation, learning, and impact. If you’re self-driven and excited to tackle deep technical problems at scale while shaping the future of intelligent, next-gen platforms, we’d love to work with you. We’re looking for a solid Software Engineer II to join our Monetize engineering team, where you’ll help shape the future of ad delivery and monetization. You’ll work on systems that process massive volumes of data with strict latency and reliability requirements. The problems you’ll tackle include designing scalable APIs, optimizing auction logic, improving system observability, and enhancing live site resilience. You’ll collaborate with product managers, data scientists, and engineers across disciplines to deliver impactful solutions that scale globally. We’re looking for engineers who are curious, collaborative, and passionate about solving complex technical challenges. If you thrive in fast-paced environments, care deeply about engineering excellence, and want to build systems that make a measurable impact—this is the team for you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design and lead the implementation of large-scale applications and infrastructure for real-time data delivery, diagnostics, and monitoring. Continuously refine data pipelines and system architecture to improve performance, reliability, and cost efficiency. Analyze data, telemetry, and delivery logs to uncover insights that shape technical design, feature roadmaps, and long-term strategy. Collaborate with Ads and Bing teams to enable new scenarios, integrate shared infrastructure, and deliver unified solutions. Provide production support by fixing bugs and resolving live-site issues to ensure system availability and reliability. Use AI tools and techniques to enhance engineering workflows, automate processes, and unlock new capabilities. Support and mentor teams, foster collaboration, and uphold high standards of engineering professionalism and technical rigor. Qualifications Required Qualifications: Bachelor's Degree in Computer Science OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. 4+ years in golang, Java, Strong SQL expertise, Kafka, Hadoop and product development experience including memory management, multithreading, and performance optimization, cloud expertise, AI Proficiency in data structures and algorithms, with a solid grasp of system design principles. Hands-on experience with distributed systems, real-time data processing, and streaming platforms like Kafka or Event Hubs. Familiarity with cloud platforms (preferably Azure), including services for compute, storage, monitoring, and diagnostics. Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools. Exposure to AI/ML tools and frameworks, with the ability to apply them to engineering workflows and data-driven decision-making. Knowledge of observability practices, including telemetry, structured logging, and alerting systems. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility Working knowledge of any other cloud service Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases. Proven experience in shipping production-quality code in fast-paced environments. 4+ years of hands-on experience in realtime data delivery platforms, distributed systems, big data processing pipelines, or large-scale applications. Exposure to AI/ML concepts and practical application of AI tools to solve modern engineering challenges. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you passionate about architecting, building, and maintaining next-generation platforms for real-time data delivery that power Microsoft’s multi-billion-dollar advertising business? On our team, you’ll design and evolve complex systems, apply AI and next-gen technologies to solve modern engineering challenges, and collaborate with Ads and Bing teams to enable new scenarios. We’re a fast-paced, inclusive team that values innovation, learning, and impact. If you’re self-driven and excited to tackle deep technical problems at scale while shaping the future of intelligent, next-gen platforms, we’d love to work with you. We’re looking for a solid Software Engineer II to join our Monetize engineering team, where you’ll help shape the future of ad delivery and monetization. You’ll work on systems that process massive volumes of data with strict latency and reliability requirements. The problems you’ll tackle include designing scalable APIs, optimizing auction logic, improving system observability, and enhancing live site resilience. You’ll collaborate with product managers, data scientists, and engineers across disciplines to deliver impactful solutions that scale globally. We’re looking for engineers who are curious, collaborative, and passionate about solving complex technical challenges. If you thrive in fast-paced environments, care deeply about engineering excellence, and want to build systems that make a measurable impact—this is the team for you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design and lead the implementation of large-scale applications and infrastructure for real-time data delivery, diagnostics, and monitoring. Continuously refine data pipelines and system architecture to improve performance, reliability, and cost efficiency. Analyze data, telemetry, and delivery logs to uncover insights that shape technical design, feature roadmaps, and long-term strategy. Collaborate with Ads and Bing teams to enable new scenarios, integrate shared infrastructure, and deliver unified solutions. Provide production support by fixing bugs and resolving live-site issues to ensure system availability and reliability. Use AI tools and techniques to enhance engineering workflows, automate processes, and unlock new capabilities. Support and mentor teams, foster collaboration, and uphold high standards of engineering professionalism and technical rigor. Qualifications Required Qualifications: Bachelor's Degree in Computer Science OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. 4+ years in golang, Java, Strong SQL expertise, Kafka, Hadoop and product development experience including memory management, multithreading, and performance optimization, cloud expertise, AI Proficiency in data structures and algorithms, with a solid grasp of system design principles. Hands-on experience with distributed systems, real-time data processing, and streaming platforms like Kafka or Event Hubs. Familiarity with cloud platforms (preferably Azure), including services for compute, storage, monitoring, and diagnostics. Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools. Exposure to AI/ML tools and frameworks, with the ability to apply them to engineering workflows and data-driven decision-making. Knowledge of observability practices, including telemetry, structured logging, and alerting systems. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility Working knowledge of any other cloud service Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases. Proven experience in shipping production-quality code in fast-paced environments. 4+ years of hands-on experience in realtime data delivery platforms, distributed systems, big data processing pipelines, or large-scale applications. Exposure to AI/ML concepts and practical application of AI tools to solve modern engineering challenges. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you passionate about architecting, building, and maintaining next-generation platforms for real-time data delivery that power Microsoft’s multi-billion-dollar advertising business? On our team, you’ll design and evolve complex systems, apply AI and next-gen technologies to solve modern engineering challenges, and collaborate with Ads and Bing teams to enable new scenarios. We’re a fast-paced, inclusive team that values innovation, learning, and impact. If you’re self-driven and excited to tackle deep technical problems at scale while shaping the future of intelligent, next-gen platforms, we’d love to work with you. We’re looking for a solid Software Engineer II to join our Monetize engineering team, where you’ll help shape the future of ad delivery and monetization. You’ll work on systems that process massive volumes of data with strict latency and reliability requirements. The problems you’ll tackle include designing scalable APIs, optimizing auction logic, improving system observability, and enhancing live site resilience. You’ll collaborate with product managers, data scientists, and engineers across disciplines to deliver impactful solutions that scale globally. We’re looking for engineers who are curious, collaborative, and passionate about solving complex technical challenges. If you thrive in fast-paced environments, care deeply about engineering excellence, and want to build systems that make a measurable impact—this is the team for you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design and lead the implementation of large-scale applications and infrastructure for real-time data delivery, diagnostics, and monitoring. Continuously refine data pipelines and system architecture to improve performance, reliability, and cost efficiency. Analyze data, telemetry, and delivery logs to uncover insights that shape technical design, feature roadmaps, and long-term strategy. Collaborate with Ads and Bing teams to enable new scenarios, integrate shared infrastructure, and deliver unified solutions. Provide production support by fixing bugs and resolving live-site issues to ensure system availability and reliability. Use AI tools and techniques to enhance engineering workflows, automate processes, and unlock new capabilities. Support and mentor teams, foster collaboration, and uphold high standards of engineering professionalism and technical rigor. Qualifications Required Qualifications: Bachelor's Degree in Computer Science OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. 4+ years in golang, Java, Strong SQL expertise, Kafka, Hadoop and product development experience including memory management, multithreading, and performance optimization, cloud expertise, AI Proficiency in data structures and algorithms, with a solid grasp of system design principles. Hands-on experience with distributed systems, real-time data processing, and streaming platforms like Kafka or Event Hubs. Familiarity with cloud platforms (preferably Azure), including services for compute, storage, monitoring, and diagnostics. Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools. Exposure to AI/ML tools and frameworks, with the ability to apply them to engineering workflows and data-driven decision-making. Knowledge of observability practices, including telemetry, structured logging, and alerting systems. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility Working knowledge of any other cloud service Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases. Proven experience in shipping production-quality code in fast-paced environments. 4+ years of hands-on experience in realtime data delivery platforms, distributed systems, big data processing pipelines, or large-scale applications. Exposure to AI/ML concepts and practical application of AI tools to solve modern engineering challenges. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you passionate about architecting, building, and maintaining next-generation platforms for real-time data delivery that power Microsoft’s multi-billion-dollar advertising business? On our team, you’ll design and evolve complex systems, apply AI and next-gen technologies to solve modern engineering challenges, and collaborate with Ads and Bing teams to enable new scenarios. We’re a fast-paced, inclusive team that values innovation, learning, and impact. If you’re self-driven and excited to tackle deep technical problems at scale while shaping the future of intelligent, next-gen platforms, we’d love to work with you. We’re looking for a solid Software Engineer II to join our Monetize engineering team, where you’ll help shape the future of ad delivery and monetization. You’ll work on systems that process massive volumes of data with strict latency and reliability requirements. The problems you’ll tackle include designing scalable APIs, optimizing auction logic, improving system observability, and enhancing live site resilience. You’ll collaborate with product managers, data scientists, and engineers across disciplines to deliver impactful solutions that scale globally. We’re looking for engineers who are curious, collaborative, and passionate about solving complex technical challenges. If you thrive in fast-paced environments, care deeply about engineering excellence, and want to build systems that make a measurable impact—this is the team for you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design and lead the implementation of large-scale applications and infrastructure for real-time data delivery, diagnostics, and monitoring. Continuously refine data pipelines and system architecture to improve performance, reliability, and cost efficiency. Analyze data, telemetry, and delivery logs to uncover insights that shape technical design, feature roadmaps, and long-term strategy. Collaborate with Ads and Bing teams to enable new scenarios, integrate shared infrastructure, and deliver unified solutions. Provide production support by fixing bugs and resolving live-site issues to ensure system availability and reliability. Use AI tools and techniques to enhance engineering workflows, automate processes, and unlock new capabilities. Support and mentor teams, foster collaboration, and uphold high standards of engineering professionalism and technical rigor. Qualifications Required Qualifications: Bachelor's Degree in Computer Science OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. 4+ years in golang, Java, Strong SQL expertise, Kafka, Hadoop and product development experience including memory management, multithreading, and performance optimization, cloud expertise, AI Proficiency in data structures and algorithms, with a solid grasp of system design principles. Hands-on experience with distributed systems, real-time data processing, and streaming platforms like Kafka or Event Hubs. Familiarity with cloud platforms (preferably Azure), including services for compute, storage, monitoring, and diagnostics. Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools. Exposure to AI/ML tools and frameworks, with the ability to apply them to engineering workflows and data-driven decision-making. Knowledge of observability practices, including telemetry, structured logging, and alerting systems. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility Working knowledge of any other cloud service Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases. Proven experience in shipping production-quality code in fast-paced environments. 4+ years of hands-on experience in realtime data delivery platforms, distributed systems, big data processing pipelines, or large-scale applications. Exposure to AI/ML concepts and practical application of AI tools to solve modern engineering challenges. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you passionate about architecting, building, and maintaining next-generation platforms for real-time data delivery that power Microsoft’s multi-billion-dollar advertising business? On our team, you’ll design and evolve complex systems, apply AI and next-gen technologies to solve modern engineering challenges, and collaborate with Ads and Bing teams to enable new scenarios. We’re a fast-paced, inclusive team that values innovation, learning, and impact. If you’re self-driven and excited to tackle deep technical problems at scale while shaping the future of intelligent, next-gen platforms, we’d love to work with you. We’re looking for a solid Software Engineer II to join our Monetize engineering team, where you’ll help shape the future of ad delivery and monetization. You’ll work on systems that process massive volumes of data with strict latency and reliability requirements. The problems you’ll tackle include designing scalable APIs, optimizing auction logic, improving system observability, and enhancing live site resilience. You’ll collaborate with product managers, data scientists, and engineers across disciplines to deliver impactful solutions that scale globally. We’re looking for engineers who are curious, collaborative, and passionate about solving complex technical challenges. If you thrive in fast-paced environments, care deeply about engineering excellence, and want to build systems that make a measurable impact—this is the team for you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design and lead the implementation of large-scale applications and infrastructure for real-time data delivery, diagnostics, and monitoring. Continuously refine data pipelines and system architecture to improve performance, reliability, and cost efficiency. Analyze data, telemetry, and delivery logs to uncover insights that shape technical design, feature roadmaps, and long-term strategy. Collaborate with Ads and Bing teams to enable new scenarios, integrate shared infrastructure, and deliver unified solutions. Provide production support by fixing bugs and resolving live-site issues to ensure system availability and reliability. Use AI tools and techniques to enhance engineering workflows, automate processes, and unlock new capabilities. Support and mentor teams, foster collaboration, and uphold high standards of engineering professionalism and technical rigor. Qualifications Required Qualifications: Bachelor's Degree in Computer Science OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. 4+ years in golang, Java, Strong SQL expertise, Kafka, Hadoop and product development experience including memory management, multithreading, and performance optimization, cloud expertise, AI Proficiency in data structures and algorithms, with a solid grasp of system design principles. Hands-on experience with distributed systems, real-time data processing, and streaming platforms like Kafka or Event Hubs. Familiarity with cloud platforms (preferably Azure), including services for compute, storage, monitoring, and diagnostics. Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools. Exposure to AI/ML tools and frameworks, with the ability to apply them to engineering workflows and data-driven decision-making. Knowledge of observability practices, including telemetry, structured logging, and alerting systems. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility Working knowledge of any other cloud service Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases. Proven experience in shipping production-quality code in fast-paced environments. 4+ years of hands-on experience in realtime data delivery platforms, distributed systems, big data processing pipelines, or large-scale applications. Exposure to AI/ML concepts and practical application of AI tools to solve modern engineering challenges. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you passionate about architecting, building, and maintaining next-generation platforms for real-time data delivery that power Microsoft’s multi-billion-dollar advertising business? On our team, you’ll design and evolve complex systems, apply AI and next-gen technologies to solve modern engineering challenges, and collaborate with Ads and Bing teams to enable new scenarios. We’re a fast-paced, inclusive team that values innovation, learning, and impact. If you’re self-driven and excited to tackle deep technical problems at scale while shaping the future of intelligent, next-gen platforms, we’d love to work with you. We’re looking for a solid Software Engineer II to join our Monetize engineering team, where you’ll help shape the future of ad delivery and monetization. You’ll work on systems that process massive volumes of data with strict latency and reliability requirements. The problems you’ll tackle include designing scalable APIs, optimizing auction logic, improving system observability, and enhancing live site resilience. You’ll collaborate with product managers, data scientists, and engineers across disciplines to deliver impactful solutions that scale globally. We’re looking for engineers who are curious, collaborative, and passionate about solving complex technical challenges. If you thrive in fast-paced environments, care deeply about engineering excellence, and want to build systems that make a measurable impact—this is the team for you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design and lead the implementation of large-scale applications and infrastructure for real-time data delivery, diagnostics, and monitoring. Continuously refine data pipelines and system architecture to improve performance, reliability, and cost efficiency. Analyze data, telemetry, and delivery logs to uncover insights that shape technical design, feature roadmaps, and long-term strategy. Collaborate with Ads and Bing teams to enable new scenarios, integrate shared infrastructure, and deliver unified solutions. Provide production support by fixing bugs and resolving live-site issues to ensure system availability and reliability. Use AI tools and techniques to enhance engineering workflows, automate processes, and unlock new capabilities. Support and mentor teams, foster collaboration, and uphold high standards of engineering professionalism and technical rigor. Qualifications Required Qualifications: Bachelor's Degree in Computer Science OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. 4+ years in golang, Java, Strong SQL expertise, Kafka, Hadoop and product development experience including memory management, multithreading, and performance optimization, cloud expertise, AI Proficiency in data structures and algorithms, with a solid grasp of system design principles. Hands-on experience with distributed systems, real-time data processing, and streaming platforms like Kafka or Event Hubs. Familiarity with cloud platforms (preferably Azure), including services for compute, storage, monitoring, and diagnostics. Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools. Exposure to AI/ML tools and frameworks, with the ability to apply them to engineering workflows and data-driven decision-making. Knowledge of observability practices, including telemetry, structured logging, and alerting systems. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility Working knowledge of any other cloud service Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases. Proven experience in shipping production-quality code in fast-paced environments. 4+ years of hands-on experience in realtime data delivery platforms, distributed systems, big data processing pipelines, or large-scale applications. Exposure to AI/ML concepts and practical application of AI tools to solve modern engineering challenges. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you passionate about architecting, building, and maintaining next-generation platforms for real-time data delivery that power Microsoft’s multi-billion-dollar advertising business? On our team, you’ll design and evolve complex systems, apply AI and next-gen technologies to solve modern engineering challenges, and collaborate with Ads and Bing teams to enable new scenarios. We’re a fast-paced, inclusive team that values innovation, learning, and impact. If you’re self-driven and excited to tackle deep technical problems at scale while shaping the future of intelligent, next-gen platforms, we’d love to work with you. We’re looking for a solid Software Engineer II to join our Monetize engineering team, where you’ll help shape the future of ad delivery and monetization. You’ll work on systems that process massive volumes of data with strict latency and reliability requirements. The problems you’ll tackle include designing scalable APIs, optimizing auction logic, improving system observability, and enhancing live site resilience. You’ll collaborate with product managers, data scientists, and engineers across disciplines to deliver impactful solutions that scale globally. We’re looking for engineers who are curious, collaborative, and passionate about solving complex technical challenges. If you thrive in fast-paced environments, care deeply about engineering excellence, and want to build systems that make a measurable impact—this is the team for you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design and lead the implementation of large-scale applications and infrastructure for real-time data delivery, diagnostics, and monitoring. Continuously refine data pipelines and system architecture to improve performance, reliability, and cost efficiency. Analyze data, telemetry, and delivery logs to uncover insights that shape technical design, feature roadmaps, and long-term strategy. Collaborate with Ads and Bing teams to enable new scenarios, integrate shared infrastructure, and deliver unified solutions. Provide production support by fixing bugs and resolving live-site issues to ensure system availability and reliability. Use AI tools and techniques to enhance engineering workflows, automate processes, and unlock new capabilities. Support and mentor teams, foster collaboration, and uphold high standards of engineering professionalism and technical rigor. Qualifications Required Qualifications: Bachelor's Degree in Computer Science OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. 4+ years in golang, Java, Strong SQL expertise, Kafka, Hadoop and product development experience including memory management, multithreading, and performance optimization, cloud expertise, AI Proficiency in data structures and algorithms, with a solid grasp of system design principles. Hands-on experience with distributed systems, real-time data processing, and streaming platforms like Kafka or Event Hubs. Familiarity with cloud platforms (preferably Azure), including services for compute, storage, monitoring, and diagnostics. Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools. Exposure to AI/ML tools and frameworks, with the ability to apply them to engineering workflows and data-driven decision-making. Knowledge of observability practices, including telemetry, structured logging, and alerting systems. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility Working knowledge of any other cloud service Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases. Proven experience in shipping production-quality code in fast-paced environments. 4+ years of hands-on experience in realtime data delivery platforms, distributed systems, big data processing pipelines, or large-scale applications. Exposure to AI/ML concepts and practical application of AI tools to solve modern engineering challenges. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.