Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. 8 years of experience in Application-Specific Integrated Circuit (ASIC) development, with power optimization. Experience with low power schemes, power roll up, and power estimations. Experience in ASIC design verification, synthesis, timing analysis. Preferred qualifications: Experience with coding languages (e.g., Python or Perl). Experience in System on a Chip (SoC) designs and integration flows. Experience with power optimization and power modeling tools. Knowledge of high performance and low power design techniques. About The Job In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. In this role, you will be part of a team developing Application-specific integrated circuits (ASICs) used to accelerate machine learning computation in data centers. You will collaborate with members of architecture, verification, power and performance, physical design, etc. to specify and deliver quality designs for next generation data center accelerators. You will solve problems with micro-architecture and practical reasoning solutions, and evaluate design options with performance, power and area in mind. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities Participate in defining power management schemes and low power modes. Create power specifications and Unified Power Format (UPF) definition for System on a Chip (SoC) and subsystems. Estimate and track through all phases of the project. Run power optimization tools, suggest ways to improve power and drive convergence. Work with cross-functional teams for handoff of power intent and power projections. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Show more Show less

Minimum qualifications: Bachelor's degree in Computer Science, Management Information Systems, or a related technical field, or equivalent practical experience. 8 years of experience in business application development or implementation. Experience in implementing, customizing or integrating third-party applications within business enterprise software. Preferred qualifications: Experience with programming languages Java and web services technology (e.g., REST, SOAP, etc.). Experience in Google Cloud Platform (GCP) or other public cloud platforms. Experience in multiple full system implementation life cycles (e.g., analyze, design, build, test, implement, support). Experience in Python programming language, with the knowledge of object-oriented principles. Knowledge of systems related to Supply Chain and Enterprise Resource Planning (ERP). About the job At Google, we work at lightning speed. So when things get in the way of progress, the Business Systems Integration team steps in to remove those roadblocks. The team identifies time-consuming internal processes and then builds solutions that are reliable and scalable enough to work within the size and scope of the company. You listen to and translate Googler needs into high-level technical specifications, design and develop recommended systems and consult with Google executives to ensure smooth implementation. Whether battling large system processes or leveraging our homegrown suite of Google products for Googlers themselves, you help Googlers work faster and more efficiently. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities Partner with internal teams to define and implement solutions that improve internal business processes. Identify, assess, estimate, and solve business issues, where analysis of situations/scenarios or data requires an evaluation of variable factors including security. Develop, build, and deploy applications using various platforms and technologies. Work with analysts to translate business requirements into technical solutions. Maintain the development practices including technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution, writing modular, and self-sustaining code. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Show more Show less

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role. 3 years of experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent. Preferred qualifications: Experience in capacity planning and management. Experience leading and growing medium-to-large engineering teams. Experience with object-oriented programming languages, distributed systems, and reliable systems/cloud services. Passionate about delivering impact in an enterprise-facing and customer-facing environment. About The Job Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities Provide technical leadership across teams of engineers focused on building a new platform. Define, iterate, and communicate team goals, strategy, and roadmap. Collaborate and navigate through organizational complexity to solve problems and drive cross-functional execution. Coach, mentor, and grow engineers on the team. Provide technical expertise throughout the product lifecycle including design, implementation, and delivery of services and infrastructure. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India . Minimum qualifications: Bachelor's degree in Computer Science Engineering, or equivalent practical experience. 5 years of experience in program management. Experience in Program Management on technical cross-functional projects. Preferred qualifications: 5 years of experience managing cross-functional or cross-team projects. 3 years of industry experience managing large-scale and dynamic programs, including vendor managed resources. Experience in project management, defining projects and executing within timelines and with multiple stakeholders. Ability to effectively operate with high energy and flexibility in a fast-paced, constantly evolving work environment. Ability to influence and communicate cross-functionally with all levels of management, with excellent verbal and written communication skills. About The Job A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities Leverage Google products, tools, and machine learning automation to enhance operational efficiency, optimize human computation micro-tasks, and drive large-scale AI improvements. Work closely with Engineering, Product, and AI Data Infrastructure teams to align operational priorities, optimize workflows, and drive scalable solutions. Own resource allocation, process improvements, knowledge management, and tooling launches while managing escalations and critical incidents. Drive program execution, measure key performance indicators, mitigate risks, and contribute to budgeting, forecasting, and headcount planning for AI Data operations. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Show more Show less

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in coding, developing test methodologies, writing test plans, creating test cases, and debugging. Experience with automation testing. Experience with Android devices or Wear OS. Preferred qualifications: Master's degree in Computer Science, Electrical Engineering, or a related field. Experience in building web-based solutions that improve test processes and reporting. Experience with fine-tuning LLMs and Vertex AI, or other Open Source AI libraries. Experience in Agile methodologies, CI, and release management. About The Job At Google, our philosophy is build it, break it and then rebuild it better. That thinking is at the core of how we approach testing at Google. Unlike roles with similar names at the other companies, Test Engineers at Google aren't manual testers -- you write scripts to automate testing and create tools so developers can test their own code. As a Test Engineer, you navigate Google's massive codebase, identify weak spots and constantly design better and creative ways to break software and identify potential problems. You'll have a huge impact on the quality of Google's growing suite of products and services. The Pixel Wearables team is responsible for delivering quality Pixel Wearable products through integrated software and hardware testing. You will collaborate with cross-functional teams across multiple international sites to provide testing to achieve quality and implement automation testing, leveraging testing frameworks and AI/ML tools. Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology. Responsibilities Own and drive wearables testing and performance strategies to ensure quality. Utilize the latest AI technologies to improve test coverage, effectiveness, productivity, and reporting. Build internal tools and dashboards to facilitate test efforts and provide insightful reporting. Research and evaluate new testing tools and technologies to enhance the team's capabilities. Identify and resolve technical challenges and bottlenecks in the testing process. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Show more Show less

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with data structures or algorithms. Preferred qualifications: 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Experience in Linux kernel. Experience with Networking driver, protocol stack and Windows Device Drivers. About The Job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities Provide new Linux kernel networking and driver functionalities to enable upper layer applications. Develop new, high-performance platforms, including new servers and Network Interface Card (NIC). Help applications take advantage of new kernel features. Contribute to public domain Linux development. Improve kernel stack performance. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Show more Show less

Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with data structures or algorithms. Experience with Kernel, Kernel Drivers, Networking, Device Drivers, and Debugging/Troubleshooting. Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience with the networking stack in the Linux, Kernel, and with SmartNICs. Experience in triage, debug issues, and troubleshooting systems. Experience with the Linux, Kernel, or network device drivers. About The Job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Debug, track, and resolve system issues by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Manage systems development in C, and C++. Manage networking/switching protocols, data path, and development. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India . Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience testing, and launching software products. 3 years of experience with software design and architecture. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures/algorithms. 3 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. About The Job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities Provide technical leadership on high-impact projects. Influence and coach a distributed team of engineers. Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Manage project priorities, deadlines, and deliverables. Design, develop, test, deploy, maintain, and enhance large scale software solutions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India . Minimum qualifications: Bachelor's degree in Computer Science Engineering, or equivalent practical experience. 5 years of experience in program management. Experience in Program Management on technical cross-functional projects. Preferred qualifications: 5 years of experience managing cross-functional or cross-team projects. 3 years of industry experience managing large-scale and dynamic programs, including vendor managed resources. Experience in project management, defining projects and executing within timelines and with multiple stakeholders. Ability to effectively operate with high energy and flexibility in a fast-paced, constantly evolving work environment. Ability to influence and communicate cross-functionally with all levels of management, with excellent verbal and written communication skills. About The Job A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities Leverage Google products, tools, and machine learning automation to enhance operational efficiency, optimize human computation micro-tasks, and drive large-scale AI improvements. Work closely with Engineering, Product, and AI Data Infrastructure teams to align operational priorities, optimize workflows, and drive scalable solutions. Own resource allocation, process improvements, knowledge management, and tooling launches while managing escalations and critical incidents. Drive program execution, measure key performance indicators, mitigate risks, and contribute to budgeting, forecasting, and headcount planning for AI Data operations. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Show more Show less

Location: Bangalore, Pune Notice Period: Immediate to 10 days Experience: 13+ Years About the Role: We are looking for an experienced Engineering Manager (Generative AI) to lead client-facing AI/ML initiatives in a dynamic services environment. In this role, you will be the bridge between clients, data science teams, and engineering groups, ensuring the successful delivery of cutting-edge Generative AI solutions aligned to business goals. You will manage multiple concurrent projects involving emerging technologies like large language models (LLMs), diffusion models, and prompt engineering—while handling client communications, technical planning, and delivery governance. Key Responsibilities: Own and drive end-to-end Generative AI project delivery for clients—from pre-sales support and requirements gathering to deployment and post-launch support. Coordinate with cross-functional teams (data scientists, MLOps engineers, software developers, UI/UX designers) to translate client needs into scalable AI solutions. Manage project scope, timelines, budgets, and resource allocation across multiple client engagements. Conduct client workshops, create solution roadmaps, and define MVPs with measurable KPIs. Track progress using Agile methodologies and ensure timely delivery within SLA and quality standards. Guide internal teams on technology choices and delivery best practices in the Generative AI ecosystem (e.g., OpenAI, Hugging Face, LangChain, Pinecone, etc.). Support proposal development, solution architecture reviews, and pricing during pre-sales activities. Maintain clear, consistent communication with clients and internal leadership; manage escalations, risks, and delivery blockers proactively. Stay current with advancements in Generative AI and bring innovation to client engagements. Required Qualifications: 13+ years of experience in software development, GenAI, machine learning with at least 5 years in technical project management roles. Solid understanding of AI/ML workflows and hands-on familiarity with Generative AI concepts (LLMs, embeddings, vector search, prompt engineering, etc.). Conversant with Python and SQL. Practical experience in designing business solutions in these areas, and explaining those to the customers as part of pre-sales and/or delivery stage. Excellent analysis, and problem-solving skills. Deep thinking ability. Proven knowledge of data structure and algorithms. Proven track record of strong leadership and decision-making skills to drive consensus on requirements and ensure timely delivery of critical customer-facing AI features. Strong track record of developing, leading, coaching, and mentoring machine learning engineers and scientists is vital. Proficiency in Agile project management frameworks and tools (e.g., Jira, Confluence, Azure DevOps). Strong communication and stakeholder management skills—especially in client-facing roles. Cultivate a positive and growth-oriented environment. Bachelor’s degree in a related field, such as computer science, software engineering or data science, is recommended; Master’s or MBA is a plus. Preferred Skills: Experience working with cloud-native AI stacks (AWS SageMaker, Azure ML, Google Vertex AI, etc.). Exposure to MLOps and AI model lifecycle management. Technical certifications in AI/ML, cloud, or project management (e.g., PMP, PMI-ACP, CSM). Experience in consulting or delivering multi-region/global enterprise AI projects. What’s in it for You: Work with a fast-growing team on cutting-edge AI solutions across global clients. Opportunity to shape and scale next-gen AI delivery practices. Competitive compensation and flexible work arrangements. Access to continuous learning, certifications, and professional growth in the AI domain. Show more Show less

Role : GCP Cloud Architect. Location : Hyderabad. Notice period : Immediate joiners needed. Shift timings : US Time zones. Work Mode : Work from Office. Job Description Opportunity : We are seeking a highly skilled and experienced GCP Cloud Architect to join our dynamic technology team. You will play a crucial role in designing, implementing, and managing our Google Cloud Platform (GCP) infrastructure, with a primary focus on building a robust and scalable Data Lake in BigQuery. You will be instrumental in ensuring the reliability, security, and performance of our cloud environment, supporting critical healthcare data initiatives. Cloud Architecture & Design This role requires strong technical expertise in GCP, excellent problem-solving abilities, and a passion for leveraging cloud technologies to drive impactful solutions within the healthcare : Design and architect scalable, secure, and cost-effective GCP solutions, with a strong emphasis on BigQuery for our Data Lake. Define and implement best GCP infrastructure management, security, networking, and data governance practices. Develop and maintain comprehensive architectural diagrams, documentation, and standards. Collaborate with data engineers, data scientists, and application development teams to understand their requirements and translate them into robust cloud solutions. Evaluate and recommend new GCP services and technologies to optimize our cloud environment. Understand and implement the fundamentals of GCP, including resource hierarchy, projects, organizations, and billing. GCP Infrastructure Management Manage and maintain our existing GCP infrastructure, ensuring high availability, performance, and security. Implement and manage infrastructure-as-code (IaC) using tools like Terraform or Cloud Deployment Manager. Monitor and troubleshoot infrastructure issues, proactively identifying and resolving potential problems. Implement and manage backup and disaster recovery strategies for our GCP environment. Optimize cloud costs and resource utilization, including BigQuery slot & Communication : Work closely with cross-functional teams, including data engineering, data science, application development, security, and compliance. Communicate technical concepts and solutions effectively to both technical and non-technical stakeholders. Provide guidance and mentorship to junior team members. Participate in on-call rotation as needed. Develop and maintain thorough and reliable documentation of all cloud infrastructure processes, configurations, and security : Bachelor's degree in Computer Science, Engineering, or a related field. Minimum of 5- 8 years of experience in designing, implementing, and managing cloud infrastructure, with a strong focus on Google Cloud Platform (GCP). Proven experience in architecting and implementing Data Lakes on GCP, specifically using BigQuery. Hands-on experience with ETL/ELT processes and tools, with strong proficiency in Google Cloud Composer (Apache Airflow). Solid understanding of GCP services such as Compute Engine, Cloud Storage, Networking (VPC, Firewall Rules, Cloud DNS), IAM, Cloud Monitoring, and Cloud Logging. Experience with infrastructure-as-code (IaC) tools like Terraform or Cloud Deployment Manager. Strong understanding of security best practices for cloud environments, including identity and access management, data encryption, and network security. Excellent problem-solving, analytical, and troubleshooting skills. Strong communication, collaboration, and interpersonal skills. Bonus Points Experience with Apigee for API management. Experience with containerization technologies like Docker and orchestration platforms like Cloud Run. Experience with Vertex AI for machine learning workflows on GCP. Familiarity with GCP Healthcare products and solutions (e.g., Cloud Healthcare API). Knowledge of healthcare data standards and regulations (e.g., HIPAA, HL7, FHIR). GCP Professional Architect certification. Experience with scripting languages (e.g., Python, Bash). Experience with Looker. (ref:hirist.tech) Show more Show less

Skill required: Digital Inside Sales - Inside Sales Designation: Customer Success Mgmt Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Transforming sales to become a future-ready and digital B2B revenue engine. The team helps assess, design, build and implement best practices on process, organization, and technology to create, execute, and run a collaborative sales and support roles. Provide support for lead/opportunity generation: conduct calls / send emails / connect via social media to generate leads, schedule first meetings for sales/pre-sales, conduct customer surveys, identify participants for events, and bring awareness of the product or offering on behalf of sales/marketing teams. What are we looking for? Roles and Responsibilities Ensure new customers see immediate success and value by providing technical help during onboarding and post go-live phase Coordinate and execute activities with customers via web-based meetings, phone, and email throughout the various stages of onboarding Churn Risk Identification: Monitor customer health scores and usage data to identify early signs of dissatisfaction or potential churn. Retention Strategies: Develop and implement targeted retention strategies to address customer pain points and improve satisfaction. Customer Feedback: Collect and analyze customer feedback to identify areas for improvement and work with internal teams to address these issues. Execute high level troubleshooting and drive resolution of customer issues as quickly as possible. Provide recommendations for upsell and cross sell of Vertex solutions Identifying and assessing potential risks of churn and developing and implementing risk mitigation strategies Monitoring and reporting on the effectiveness of risk management processes Collaborating with various departments to ensure risk management practices are integrated into daily operations Set and manage expectations monitoring customer’s achievements. Bachelor’s degree and 2-plus years of relevant work experience, preferably in Cloud technology implementation, project management and support Experience in implementing solutions on Major cloud platforms Proven track record of onboarding and supporting customers to deliver high customer satisfaction, advocacy, and loyalty Experience navigating and steering customer engagements to completion with a high level of customer satisfaction Strong listening and verbal communication skills Familiarity with common customer success and CRM platforms such as Salesforce, Gainsight etc. Experience in the enterprise, XaaS, cloud, or services space An affinity for getting to know people and helping them solve their business problems Roles and Responsibilities: Roles and Responsibilities Ensure new customers see immediate success and value by providing technical help during onboarding and post go-live phase Coordinate and execute activities with customers via web-based meetings, phone, and email throughout the various stages of onboarding Churn Risk Identification: Monitor customer health scores and usage data to identify early signs of dissatisfaction or potential churn. Retention Strategies: Develop and implement targeted retention strategies to address customer pain points and improve satisfaction. Customer Feedback: Collect and analyze customer feedback to identify areas for improvement and work with internal teams to address these issues. Execute high level troubleshooting and drive resolution of customer issues as quickly as possible. Provide recommendations for upsell and cross sell of Vertex solutions Identifying and assessing potential risks of churn and developing and implementing risk mitigation strategies Monitoring and reporting on the effectiveness of risk management processes Collaborating with various departments to ensure risk management practices are integrated into daily operations Set and manage expectations monitoring customer’s achievements Any Graduation Show more Show less

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Java Enterprise Edition Good to have skills : Agile Project Management Minimum 12 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Principal Technical Program Manager What We’re Looking For: You are a Technical Program Manager with an understanding of the challenges of Software as a Service. You have demonstrated success translating business objectives into technical deliverables, (re)engineering processes to improve engineering efficiency, and excelled as a servant leader enabling engineering teams deliver high quality software. You have experience working with AWS, GCP, OCI or Azure…if you checked all the boxes, we’d love to speak with you Position Overview: Vertex Inc. is rapidly scaling its portfolio of Tax SaaS solutions. These solutions must deliver enterprise-grade performance, reliability, and integration while leveraging consumer internet economies of scale in the cloud. To achieve this we are continuing to build a strong TPM Organization to manage dependencies, risks and releases across multiple teams and initiatives. In doing so, this role will lead Value Streams, ARTs or cross-cutting programs to meet, or exceed, customer expectations. Role Responsibilities: Scope Develop, maintain, and scale effective Technical Program Management best practices ensuring Vertex Inc. meets or exceeds Availability, Performance, Security, Compliance and Cost targets. Work with all key cross functional teams including, but not limited to, Engineering, Product Management, and Business teams to convey the technical vision and contribute to alignment of programs and processes within different organizations and cross functional organizations (this could shape up as Value Stream, ART or Program). Works independently under limited supervision. Excellence Identify opportunities to improve teams’ efficiency. Work with key stakeholders and leadership on process issues to address deficiencies impacting organization effectiveness. Communication & Influence Work with the Value Stream or Program stakeholders to fully scope requirements Work to influence parties within and outside of the job function at an operational level regarding policies, practices and procedures. Develop KPIs and metrics and report progress against it. Drive risk to mitigation Basic Qualifications: Ability to demonstrate and articulate TPM and SaaS fundamentals and experience in technical specialties, methodologies, and processes. Proven leadership in identifying and influencing the business to employ specific technologies and best-in-class processes. Experience in Agile methodologies (e.g., SAFe, Scrum, XP, Lean) Working experience with Cloud Technologies – AWS, GCP, OCI or Azure. Requires advanced knowledge of job area obtained through advanced education combined with experience. Must have practical knowledge of program management. Preferred Qualification Experience with Software-as-a-Service (SaaS) and Internet technologies highly desired Certified SAFe Agilist AWS, GCP, OCI or Azure Certified Practitioner Prior experience as software engineer, SRE or related. Summary: As a Technology Architect, you will design and deliver technology architecture for a platform, product, or engagement. Your typical day will involve collaborating with various teams to define solutions that meet performance, capability, and scalability needs. You will engage in discussions to ensure that the architecture aligns with business objectives and technical requirements, while also addressing any challenges that arise during the development process. Your role will require you to stay updated with the latest technology trends and best practices to ensure that the solutions you propose are innovative and effective. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing sessions to enhance team capabilities. - Evaluate and recommend new technologies to improve system performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Java Enterprise Edition. - Good To Have Skills: Experience with Agile Project Management. - Strong understanding of software design patterns and architectural principles. - Experience with cloud computing platforms and services. - Proficient in performance tuning and optimization techniques. - Familiarity with microservices architecture and containerization. Additional Information: - The candidate should have minimum 12 years of experience in Java Enterprise Edition. - This position is based at our Hyderabad office. - A 15 years full time education is required. 15 years full time education Show more Show less

What You'll Do Oversee the implementation of detailed technology solutions for clients using company products, outsourced solutions, or proprietary tools/techniques. As a member of the Avalara Implementation team your goal is to provide world-class service to our customers. You will live by our cult of the customer philosophy and will increase the satisfaction of our customers. As part of the Implementation Team, you'd focus on New Product Introductions, with enhanced focus on customer onboarding. You will work from Pune office 5 days in a week. You will report to Manager, implementation What Your Responsibilities Will Be Lead planning and delivery of multiple client implementations simultaneously. Ensure that customer requirements are defined and met within the configuration and the final deliverable. Coordinate between internal implementation and technical resources and client teams to ensure smooth delivery. Assist clients with developing testing plans and procedures. Train clients on all Avalara products and services including the ERP and e-commerce integrations (called "AvaTax connectors"). Demo sales and use tax products, including pre-written and custom-built software applications. Support customers' success by answering application questions, tracking issues, monitoring changes, and resolving or escalating problems according to company guidelines. Provide training and end-user support during customer onboarding. Given our clientele based in US are ready to work in. What You’ll Need To Be Successful 2-5 years of software implementation within the B2B sector. Bachelor's degree (BCA, MCA, B.Tech) from an accredited college or university, or equivalent career experience. Install and configure the following ERPs: WooCommerce, Sage 100, Sage Intacct, Dynamics GP, D365 Sales, D365 Business Central, Salesforce Sales Cloud, NetSuite, QuickBooks, along with the ability to explain the various configuration options and demonstrate sales order/invoicing processes. Experience with Tax Automation: lead the implementation of tax engines, returns and/or exemption certificate systems for Avalara, Tax Jar, Vertex, or similar software. Knowledgeable in APIs Experience in implementing ERP solutions. How We’ll Take Care Of You Total Rewards In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses. Health & Wellness Benefits vary by location but generally include private medical, life, and disability insurance. Inclusive culture and diversity Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship. What You Need To Know About Avalara We’re Avalara. We’re defining the relationship between tax and tech. We’ve already built an industry-leading cloud compliance platform, processing nearly 40 billion customer API calls and over 5 million tax returns a year, and this year we became a billion-dollar business . Our growth is real, and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world. We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. Ownership and achievement go hand in hand here. We instill passion in our people through the trust we place in them. We’ve been different from day one. Join us, and your career will be too. We’re An Equal Opportunity Employer Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know. Show more Show less

Job Title: Gen AI Architect – Retail Technology Office About The Role We are seeking a visionary and hands-on Gen AI Architect to lead the design, development, and deployment of cutting-edge Generative AI and Agentic AI solutions in the Retail domain. This role is pivotal in shaping our AI strategy, building innovative offerings, and driving client success through impactful PoCs and solutions. The architect will work closely with the CTO and the Retail strategy office to define the AI roadmap, lead a team of engineers and architects, and represent the company in client engagements and industry forums. Key Responsibilities Architect and Lead the development of GenAI and Agentic AI solutions tailored for retail use cases (e.g., personalized shopping, intelligent agents, supply chain optimization). Collaborate with the CTO to define AI strategy, solution blueprints, and innovation roadmaps. Design and Build scalable PoCs, MVPs, and production-grade solutions using state-of-the-art GenAI tools and frameworks. Lead and Mentor a team of engineers and architects, fostering a culture of innovation, quality, and continuous learning. Engage with Clients to present PoVs, conduct workshops, and articulate the value of GenAI solutions with compelling storytelling and technical depth. Ensure Engineering Excellence by applying best practices in TDD, BDD, DevSecOps, and microservices architecture. Required Skills & Experience AI/ML & GenAI Expertise Proven hands-on experience with: LLMs (e.g., OpenAI, Claude, Mistral, LLaMA, Gemini) GenAI frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel Agentic AI tools: Google Agentspace, ADK, LangGraph, AutoGen, CrewAI, MetaGPT, AutoGPT, OpenAgents Vector databases: Vertex AI, FAISS, Weaviate, Pinecone, Chroma Prompt engineering, RAG pipelines, fine-tuning, and orchestration Engineering & Architecture Strong background in: Java Spring Boot, REST APIs, Microservices Cloud platforms: AWS, Azure, or GCP CI/CD, DevSecOps, TDD/BDD Containerization (Docker, Kubernetes) Leadership & Communication Exceptional storytelling and articulation skills to convey complex AI concepts to technical and non-technical audiences. Experience in client-facing roles, including workshops, demos, and executive presentations. Ability to lead cross-functional teams and drive innovation in a fast-paced environment. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field Certifications in AI/ML and Cloud (GCP or Azure) Experience in the Retail domain or consumer-facing industries is a strong plus Why Join Us? Be at the forefront of AI innovation in Retail Work with a visionary leadership team Build solutions that impact Cognizant’s Retail clients Enjoy a collaborative, inclusive, and growth-oriented culture Show more Show less

About Woolf Woolf is redefining higher education by increasing access to world-class, globally recognized, and transferable degrees. We enable institutions, educators, and entrepreneurs to launch accredited degree programs at speed and scale, ensuring that high-quality education is more accessible than ever. As a category-defining company, Woolf is accelerating innovation in higher education, creating new opportunities for learning without borders. Backed by leading Silicon Valley investors, we are a globally distributed, remote-first team building the future of education. Learn more at Woolf University . About The Role We're looking for a Backend Engineer who loves using AI to unlock insights and speed things up - but knows that great systems aren't built with prompts alone. We see AI as a tool, not the whole job. You'll use it to speed things up and surface insights, but most of the work is still solid, practical engineering. If you're excited by the idea that people today can accomplish significantly more while spending less time and effort, and you're eager to boost your efficiency with cutting-edge technology, join our team. All of our coworkers are exceptional, and we want a few more exceptional people to join us in building the future of education. What You'll Do Design, build, and maintain reliable, scalable backend services using Node.js and tRPC Optimize APIs and databases for performance, scalability, and security Evaluate and implement solutions that align with technical and product goals Participate in code reviews and uphold engineering best practices Collaborate closely with product and engineering teams to shape roadmap priorities Proactively troubleshoot and resolve production issues in a cloud-native environment Tech Stack You'll Use: AI: Gemini, Vertex AI Server: Node.js with tRPC Infrastructure: GCP, Cloud Run, Cloud Tasks, Kubernetes, Redis Databases: Spanner, PostgreSQL, AlloyDB, BigQuery Requirements What You Bring Experience developing and scaling backend systems, preferably in AI or data-heavy environments Familiarity with cloud platforms (ideally GCP) and containerized environments Strong skills in debugging and optimizing distributed systems and APIs Solid understanding of database design and performance tuning Effective communication skills and fluency in English (written and spoken) A proactive, self-starting mindset with the ability to take full ownership of projects Openness to learning new technologies and adapting quickly to changing priorities A focus on clean, maintainable code and delivering high-impact features Benefits Contract Structure & Compensation Contract Type: Independent Contractor (Global) Please note: contractors are responsible for their own taxes and benefits in compliance with their local regulations Why Woolf Global Impact: Work with education leaders worldwide to shape the future of learning Remote Flexibility: Work from anywhere with a schedule that fits your lifestyle Growth Potential: Join a fast-growing company with opportunities to expand your role Innovative Culture: Be part of a mission-driven team backed by top investors Show more Show less

About Woolf Woolf is redefining higher education by increasing access to world-class, globally recognized, and transferable degrees. We enable institutions, educators, and entrepreneurs to launch accredited degree programs at speed and scale, ensuring that high-quality education is more accessible than ever. As a category-defining company, Woolf is accelerating innovation in higher education, creating new opportunities for learning without borders. Backed by leading Silicon Valley investors, we are a globally distributed, remote-first team building the future of education. Learn more at Woolf University . About The Role We're looking for a Full-Stack Engineer who loves using AI to unlock insights and speed things up - but knows that great systems aren't built with prompts alone. We see AI as a tool, not the whole job. You'll use it to speed things up and surface insights, but most of the work is still solid, practical engineering. If you're excited by the idea that people today can accomplish significantly more while spending less time and effort, and you're eager to boost your efficiency with cutting-edge technology, join our team. All of our coworkers are exceptional, and we want a few more exceptional people to join us in building the future of education. What You'll Do Design, develop, and maintain high-performance full-stack applications with a focus on speed, security, and reliability Collaborate with Product, Design, and Engineering teams to deliver impactful features across internal tools and customer-facing platforms Leverage AI technologies to enhance user experience and streamline workflows Optimize backend infrastructure and APIs for scalability and efficiency Participate in product planning and contribute to shaping the engineering roadmap Conduct code reviews and help establish best practices to ensure technical excellence Proactively identify system bottlenecks and implement sustainable, long-term solutions Tech Stack You'll Use: Front-End: TypeScript, React.js, Next.js Back-End: Node.js, tRPC AI/ML: Gemini, Vertex AI Infrastructure: GCP, Cloud Run, Cloud Tasks, Kubernetes, Redis Databases: PostgreSQL, Spanner, BigQuery Requirements What You Bring Experience with TypeScript, React.js, Next.js, and Node.js Experience designing, building, and scaling both backend services and frontend applications Strong understanding of PostgreSQL and performance optimization; familiarity with Spanner is a plus Practical experience using Gemini or OpenAI APIs — beyond consumer tools like ChatGPT, with hands-on implementation and prompt engineering for specific use cases Skilled in managing complex projects and writing clean, maintainable, production-ready code Comfortable operating autonomously and taking ownership of end-to-end feature delivery Excellent communication skills in written and spoken English Bonus: Experience in EdTech or working in a fast-paced startup environment Benefits Contract Structure & Compensation Contract Type: Independent Contractor (Global) Please note: contractors are responsible for their own taxes and benefits in compliance with their local regulations Why Woolf Global Impact: Work with education leaders worldwide to shape the future of learning Remote Flexibility: Work from anywhere with a schedule that fits your lifestyle Growth Potential: Join a fast-growing company with opportunities to expand your role Innovative Culture: Be part of a mission-driven team backed by top investors Show more Show less

About Woolf Woolf is redefining higher education by increasing access to world-class, globally recognized, and transferable degrees. We enable institutions, educators, and entrepreneurs to launch accredited degree programs at speed and scale, ensuring that high-quality education is more accessible than ever. As a category-defining company, Woolf is accelerating innovation in higher education, creating new opportunities for learning without borders. Backed by leading Silicon Valley investors, we are a globally distributed, remote-first team building the future of education. Learn more at Woolf University . About The Role We're looking for a Full-Stack Engineer who loves using AI to unlock insights and speed things up - but knows that great systems aren't built with prompts alone. We see AI as a tool, not the whole job. You'll use it to speed things up and surface insights, but most of the work is still solid, practical engineering. If you're excited by the idea that people today can accomplish significantly more while spending less time and effort, and you're eager to boost your efficiency with cutting-edge technology, join our team. All of our coworkers are exceptional, and we want a few more exceptional people to join us in building the future of education. What You'll Do Design, develop, and maintain high-performance full-stack applications with a focus on speed, security, and reliability Collaborate with Product, Design, and Engineering teams to deliver impactful features across internal tools and customer-facing platforms Leverage AI technologies to enhance user experience and streamline workflows Optimize backend infrastructure and APIs for scalability and efficiency Participate in product planning and contribute to shaping the engineering roadmap Conduct code reviews and help establish best practices to ensure technical excellence Proactively identify system bottlenecks and implement sustainable, long-term solutions Tech Stack You'll Use: Front-End: TypeScript, React.js, Next.js Back-End: Node.js, tRPC AI/ML: Gemini, Vertex AI Infrastructure: GCP, Cloud Run, Cloud Tasks, Kubernetes, Redis Databases: PostgreSQL, Spanner, BigQuery Requirements What You Bring Experience with TypeScript, React.js, Next.js, and Node.js Experience designing, building, and scaling both backend services and frontend applications Strong understanding of PostgreSQL and performance optimization; familiarity with Spanner is a plus Practical experience using Gemini or OpenAI APIs — beyond consumer tools like ChatGPT, with hands-on implementation and prompt engineering for specific use cases Skilled in managing complex projects and writing clean, maintainable, production-ready code Comfortable operating autonomously and taking ownership of end-to-end feature delivery Excellent communication skills in written and spoken English Bonus: Experience in EdTech or working in a fast-paced startup environment Benefits Contract Structure & Compensation Contract Type: Independent Contractor (Global) Please note: contractors are responsible for their own taxes and benefits in compliance with their local regulations Why Woolf Global Impact: Work with education leaders worldwide to shape the future of learning Remote Flexibility: Work from anywhere with a schedule that fits your lifestyle Growth Potential: Join a fast-growing company with opportunities to expand your role Innovative Culture: Be part of a mission-driven team backed by top investors Show more Show less

About Woolf Woolf is redefining higher education by increasing access to world-class, globally recognized, and transferable degrees. We enable institutions, educators, and entrepreneurs to launch accredited degree programs at speed and scale, ensuring that high-quality education is more accessible than ever. As a category-defining company, Woolf is accelerating innovation in higher education, creating new opportunities for learning without borders. Backed by leading Silicon Valley investors, we are a globally distributed, remote-first team building the future of education. Learn more at Woolf University . About The Role We're looking for a Backend Engineer who loves using AI to unlock insights and speed things up - but knows that great systems aren't built with prompts alone. We see AI as a tool, not the whole job. You'll use it to speed things up and surface insights, but most of the work is still solid, practical engineering. If you're excited by the idea that people today can accomplish significantly more while spending less time and effort, and you're eager to boost your efficiency with cutting-edge technology, join our team. All of our coworkers are exceptional, and we want a few more exceptional people to join us in building the future of education. What You'll Do Design, build, and maintain reliable, scalable backend services using Node.js and tRPC Optimize APIs and databases for performance, scalability, and security Evaluate and implement solutions that align with technical and product goals Participate in code reviews and uphold engineering best practices Collaborate closely with product and engineering teams to shape roadmap priorities Proactively troubleshoot and resolve production issues in a cloud-native environment Tech Stack You'll Use: AI: Gemini, Vertex AI Server: Node.js with tRPC Infrastructure: GCP, Cloud Run, Cloud Tasks, Kubernetes, Redis Databases: Spanner, PostgreSQL, AlloyDB, BigQuery Requirements What You Bring Experience developing and scaling backend systems, preferably in AI or data-heavy environments Familiarity with cloud platforms (ideally GCP) and containerized environments Strong skills in debugging and optimizing distributed systems and APIs Solid understanding of database design and performance tuning Effective communication skills and fluency in English (written and spoken) A proactive, self-starting mindset with the ability to take full ownership of projects Openness to learning new technologies and adapting quickly to changing priorities A focus on clean, maintainable code and delivering high-impact features Benefits Contract Structure & Compensation Contract Type: Independent Contractor (Global) Please note: contractors are responsible for their own taxes and benefits in compliance with their local regulations Why Woolf Global Impact: Work with education leaders worldwide to shape the future of learning Remote Flexibility: Work from anywhere with a schedule that fits your lifestyle Growth Potential: Join a fast-growing company with opportunities to expand your role Innovative Culture: Be part of a mission-driven team backed by top investors Show more Show less

About Woolf Woolf is redefining higher education by increasing access to world-class, globally recognized, and transferable degrees. We enable institutions, educators, and entrepreneurs to launch accredited degree programs at speed and scale, ensuring that high-quality education is more accessible than ever. As a category-defining company, Woolf is accelerating innovation in higher education, creating new opportunities for learning without borders. Backed by leading Silicon Valley investors, we are a globally distributed, remote-first team building the future of education. Learn more at Woolf University . About The Role We're looking for a Backend Engineer who loves using AI to unlock insights and speed things up - but knows that great systems aren't built with prompts alone. We see AI as a tool, not the whole job. You'll use it to speed things up and surface insights, but most of the work is still solid, practical engineering. If you're excited by the idea that people today can accomplish significantly more while spending less time and effort, and you're eager to boost your efficiency with cutting-edge technology, join our team. All of our coworkers are exceptional, and we want a few more exceptional people to join us in building the future of education. What You'll Do Design, build, and maintain reliable, scalable backend services using Node.js and tRPC Optimize APIs and databases for performance, scalability, and security Evaluate and implement solutions that align with technical and product goals Participate in code reviews and uphold engineering best practices Collaborate closely with product and engineering teams to shape roadmap priorities Proactively troubleshoot and resolve production issues in a cloud-native environment Tech Stack You'll Use: AI: Gemini, Vertex AI Server: Node.js with tRPC Infrastructure: GCP, Cloud Run, Cloud Tasks, Kubernetes, Redis Databases: Spanner, PostgreSQL, AlloyDB, BigQuery Requirements What You Bring Experience developing and scaling backend systems, preferably in AI or data-heavy environments Familiarity with cloud platforms (ideally GCP) and containerized environments Strong skills in debugging and optimizing distributed systems and APIs Solid understanding of database design and performance tuning Effective communication skills and fluency in English (written and spoken) A proactive, self-starting mindset with the ability to take full ownership of projects Openness to learning new technologies and adapting quickly to changing priorities A focus on clean, maintainable code and delivering high-impact features Benefits Contract Structure & Compensation Contract Type: Independent Contractor (Global) Please note: contractors are responsible for their own taxes and benefits in compliance with their local regulations Why Woolf Global Impact: Work with education leaders worldwide to shape the future of learning Remote Flexibility: Work from anywhere with a schedule that fits your lifestyle Growth Potential: Join a fast-growing company with opportunities to expand your role Innovative Culture: Be part of a mission-driven team backed by top investors Show more Show less

About Woolf Woolf is redefining higher education by increasing access to world-class, globally recognized, and transferable degrees. We enable institutions, educators, and entrepreneurs to launch accredited degree programs at speed and scale, ensuring that high-quality education is more accessible than ever. As a category-defining company, Woolf is accelerating innovation in higher education, creating new opportunities for learning without borders. Backed by leading Silicon Valley investors, we are a globally distributed, remote-first team building the future of education. Learn more at Woolf University . About The Role We're looking for a Full-Stack Engineer who loves using AI to unlock insights and speed things up - but knows that great systems aren't built with prompts alone. We see AI as a tool, not the whole job. You'll use it to speed things up and surface insights, but most of the work is still solid, practical engineering. If you're excited by the idea that people today can accomplish significantly more while spending less time and effort, and you're eager to boost your efficiency with cutting-edge technology, join our team. All of our coworkers are exceptional, and we want a few more exceptional people to join us in building the future of education. What You'll Do Design, develop, and maintain high-performance full-stack applications with a focus on speed, security, and reliability Collaborate with Product, Design, and Engineering teams to deliver impactful features across internal tools and customer-facing platforms Leverage AI technologies to enhance user experience and streamline workflows Optimize backend infrastructure and APIs for scalability and efficiency Participate in product planning and contribute to shaping the engineering roadmap Conduct code reviews and help establish best practices to ensure technical excellence Proactively identify system bottlenecks and implement sustainable, long-term solutions Tech Stack You'll Use: Front-End: TypeScript, React.js, Next.js Back-End: Node.js, tRPC AI/ML: Gemini, Vertex AI Infrastructure: GCP, Cloud Run, Cloud Tasks, Kubernetes, Redis Databases: PostgreSQL, Spanner, BigQuery Requirements What You Bring Experience with TypeScript, React.js, Next.js, and Node.js Experience designing, building, and scaling both backend services and frontend applications Strong understanding of PostgreSQL and performance optimization; familiarity with Spanner is a plus Practical experience using Gemini or OpenAI APIs — beyond consumer tools like ChatGPT, with hands-on implementation and prompt engineering for specific use cases Skilled in managing complex projects and writing clean, maintainable, production-ready code Comfortable operating autonomously and taking ownership of end-to-end feature delivery Excellent communication skills in written and spoken English Bonus: Experience in EdTech or working in a fast-paced startup environment Benefits Contract Structure & Compensation Contract Type: Independent Contractor (Global) Please note: contractors are responsible for their own taxes and benefits in compliance with their local regulations Why Woolf Global Impact: Work with education leaders worldwide to shape the future of learning Remote Flexibility: Work from anywhere with a schedule that fits your lifestyle Growth Potential: Join a fast-growing company with opportunities to expand your role Innovative Culture: Be part of a mission-driven team backed by top investors Show more Show less

About Woolf Woolf is redefining higher education by increasing access to world-class, globally recognized, and transferable degrees. We enable institutions, educators, and entrepreneurs to launch accredited degree programs at speed and scale, ensuring that high-quality education is more accessible than ever. As a category-defining company, Woolf is accelerating innovation in higher education, creating new opportunities for learning without borders. Backed by leading Silicon Valley investors, we are a globally distributed, remote-first team building the future of education. Learn more at Woolf University . About The Role We're looking for a Full-Stack Engineer who loves using AI to unlock insights and speed things up - but knows that great systems aren't built with prompts alone. We see AI as a tool, not the whole job. You'll use it to speed things up and surface insights, but most of the work is still solid, practical engineering. If you're excited by the idea that people today can accomplish significantly more while spending less time and effort, and you're eager to boost your efficiency with cutting-edge technology, join our team. All of our coworkers are exceptional, and we want a few more exceptional people to join us in building the future of education. What You'll Do Design, develop, and maintain high-performance full-stack applications with a focus on speed, security, and reliability Collaborate with Product, Design, and Engineering teams to deliver impactful features across internal tools and customer-facing platforms Leverage AI technologies to enhance user experience and streamline workflows Optimize backend infrastructure and APIs for scalability and efficiency Participate in product planning and contribute to shaping the engineering roadmap Conduct code reviews and help establish best practices to ensure technical excellence Proactively identify system bottlenecks and implement sustainable, long-term solutions Tech Stack You'll Use: Front-End: TypeScript, React.js, Next.js Back-End: Node.js, tRPC AI/ML: Gemini, Vertex AI Infrastructure: GCP, Cloud Run, Cloud Tasks, Kubernetes, Redis Databases: PostgreSQL, Spanner, BigQuery Requirements What You Bring Experience with TypeScript, React.js, Next.js, and Node.js Experience designing, building, and scaling both backend services and frontend applications Strong understanding of PostgreSQL and performance optimization; familiarity with Spanner is a plus Practical experience using Gemini or OpenAI APIs — beyond consumer tools like ChatGPT, with hands-on implementation and prompt engineering for specific use cases Skilled in managing complex projects and writing clean, maintainable, production-ready code Comfortable operating autonomously and taking ownership of end-to-end feature delivery Excellent communication skills in written and spoken English Bonus: Experience in EdTech or working in a fast-paced startup environment Benefits Contract Structure & Compensation Contract Type: Independent Contractor (Global) Please note: contractors are responsible for their own taxes and benefits in compliance with their local regulations Why Woolf Global Impact: Work with education leaders worldwide to shape the future of learning Remote Flexibility: Work from anywhere with a schedule that fits your lifestyle Growth Potential: Join a fast-growing company with opportunities to expand your role Innovative Culture: Be part of a mission-driven team backed by top investors Show more Show less

About Woolf Woolf is redefining higher education by increasing access to world-class, globally recognized, and transferable degrees. We enable institutions, educators, and entrepreneurs to launch accredited degree programs at speed and scale, ensuring that high-quality education is more accessible than ever. As a category-defining company, Woolf is accelerating innovation in higher education, creating new opportunities for learning without borders. Backed by leading Silicon Valley investors, we are a globally distributed, remote-first team building the future of education. Learn more at Woolf University . About The Role We're looking for a Backend Engineer who loves using AI to unlock insights and speed things up - but knows that great systems aren't built with prompts alone. We see AI as a tool, not the whole job. You'll use it to speed things up and surface insights, but most of the work is still solid, practical engineering. If you're excited by the idea that people today can accomplish significantly more while spending less time and effort, and you're eager to boost your efficiency with cutting-edge technology, join our team. All of our coworkers are exceptional, and we want a few more exceptional people to join us in building the future of education. What You'll Do Design, build, and maintain reliable, scalable backend services using Node.js and tRPC Optimize APIs and databases for performance, scalability, and security Evaluate and implement solutions that align with technical and product goals Participate in code reviews and uphold engineering best practices Collaborate closely with product and engineering teams to shape roadmap priorities Proactively troubleshoot and resolve production issues in a cloud-native environment Tech Stack You'll Use: AI: Gemini, Vertex AI Server: Node.js with tRPC Infrastructure: GCP, Cloud Run, Cloud Tasks, Kubernetes, Redis Databases: Spanner, PostgreSQL, AlloyDB, BigQuery Requirements What You Bring Experience developing and scaling backend systems, preferably in AI or data-heavy environments Familiarity with cloud platforms (ideally GCP) and containerized environments Strong skills in debugging and optimizing distributed systems and APIs Solid understanding of database design and performance tuning Effective communication skills and fluency in English (written and spoken) A proactive, self-starting mindset with the ability to take full ownership of projects Openness to learning new technologies and adapting quickly to changing priorities A focus on clean, maintainable code and delivering high-impact features Benefits Contract Structure & Compensation Contract Type: Independent Contractor (Global) Please note: contractors are responsible for their own taxes and benefits in compliance with their local regulations Why Woolf Global Impact: Work with education leaders worldwide to shape the future of learning Remote Flexibility: Work from anywhere with a schedule that fits your lifestyle Growth Potential: Join a fast-growing company with opportunities to expand your role Innovative Culture: Be part of a mission-driven team backed by top investors Show more Show less

About Woolf Woolf is redefining higher education by increasing access to world-class, globally recognized, and transferable degrees. We enable institutions, educators, and entrepreneurs to launch accredited degree programs at speed and scale, ensuring that high-quality education is more accessible than ever. As a category-defining company, Woolf is accelerating innovation in higher education, creating new opportunities for learning without borders. Backed by leading Silicon Valley investors, we are a globally distributed, remote-first team building the future of education. Learn more at Woolf University . About The Role We're looking for a Full-Stack Engineer who loves using AI to unlock insights and speed things up - but knows that great systems aren't built with prompts alone. We see AI as a tool, not the whole job. You'll use it to speed things up and surface insights, but most of the work is still solid, practical engineering. If you're excited by the idea that people today can accomplish significantly more while spending less time and effort, and you're eager to boost your efficiency with cutting-edge technology, join our team. All of our coworkers are exceptional, and we want a few more exceptional people to join us in building the future of education. What You'll Do Design, develop, and maintain high-performance full-stack applications with a focus on speed, security, and reliability Collaborate with Product, Design, and Engineering teams to deliver impactful features across internal tools and customer-facing platforms Leverage AI technologies to enhance user experience and streamline workflows Optimize backend infrastructure and APIs for scalability and efficiency Participate in product planning and contribute to shaping the engineering roadmap Conduct code reviews and help establish best practices to ensure technical excellence Proactively identify system bottlenecks and implement sustainable, long-term solutions Tech Stack You'll Use: Front-End: TypeScript, React.js, Next.js Back-End: Node.js, tRPC AI/ML: Gemini, Vertex AI Infrastructure: GCP, Cloud Run, Cloud Tasks, Kubernetes, Redis Databases: PostgreSQL, Spanner, BigQuery Requirements What You Bring Experience with TypeScript, React.js, Next.js, and Node.js Experience designing, building, and scaling both backend services and frontend applications Strong understanding of PostgreSQL and performance optimization; familiarity with Spanner is a plus Practical experience using Gemini or OpenAI APIs — beyond consumer tools like ChatGPT, with hands-on implementation and prompt engineering for specific use cases Skilled in managing complex projects and writing clean, maintainable, production-ready code Comfortable operating autonomously and taking ownership of end-to-end feature delivery Excellent communication skills in written and spoken English Bonus: Experience in EdTech or working in a fast-paced startup environment Benefits Contract Structure & Compensation Contract Type: Independent Contractor (Global) Please note: contractors are responsible for their own taxes and benefits in compliance with their local regulations Why Woolf Global Impact: Work with education leaders worldwide to shape the future of learning Remote Flexibility: Work from anywhere with a schedule that fits your lifestyle Growth Potential: Join a fast-growing company with opportunities to expand your role Innovative Culture: Be part of a mission-driven team backed by top investors Show more Show less

About Woolf Woolf is redefining higher education by increasing access to world-class, globally recognized, and transferable degrees. We enable institutions, educators, and entrepreneurs to launch accredited degree programs at speed and scale, ensuring that high-quality education is more accessible than ever. As a category-defining company, Woolf is accelerating innovation in higher education, creating new opportunities for learning without borders. Backed by leading Silicon Valley investors, we are a globally distributed, remote-first team building the future of education. Learn more at Woolf University . About The Role We're looking for a Backend Engineer who loves using AI to unlock insights and speed things up - but knows that great systems aren't built with prompts alone. We see AI as a tool, not the whole job. You'll use it to speed things up and surface insights, but most of the work is still solid, practical engineering. If you're excited by the idea that people today can accomplish significantly more while spending less time and effort, and you're eager to boost your efficiency with cutting-edge technology, join our team. All of our coworkers are exceptional, and we want a few more exceptional people to join us in building the future of education. What You'll Do Design, build, and maintain reliable, scalable backend services using Node.js and tRPC Optimize APIs and databases for performance, scalability, and security Evaluate and implement solutions that align with technical and product goals Participate in code reviews and uphold engineering best practices Collaborate closely with product and engineering teams to shape roadmap priorities Proactively troubleshoot and resolve production issues in a cloud-native environment Tech Stack You'll Use: AI: Gemini, Vertex AI Server: Node.js with tRPC Infrastructure: GCP, Cloud Run, Cloud Tasks, Kubernetes, Redis Databases: Spanner, PostgreSQL, AlloyDB, BigQuery Requirements What You Bring Experience developing and scaling backend systems, preferably in AI or data-heavy environments Familiarity with cloud platforms (ideally GCP) and containerized environments Strong skills in debugging and optimizing distributed systems and APIs Solid understanding of database design and performance tuning Effective communication skills and fluency in English (written and spoken) A proactive, self-starting mindset with the ability to take full ownership of projects Openness to learning new technologies and adapting quickly to changing priorities A focus on clean, maintainable code and delivering high-impact features Benefits Contract Structure & Compensation Contract Type: Independent Contractor (Global) Please note: contractors are responsible for their own taxes and benefits in compliance with their local regulations Why Woolf Global Impact: Work with education leaders worldwide to shape the future of learning Remote Flexibility: Work from anywhere with a schedule that fits your lifestyle Growth Potential: Join a fast-growing company with opportunities to expand your role Innovative Culture: Be part of a mission-driven team backed by top investors Show more Show less