3743 Azure Devops Jobs - Page 47

Role Responsibilities : - Design, implement, and manage CI/CD pipelines for cloud-based applications. - Azure DevOps, Terraform, CI/CD. - Experience working on Azure DevOps tool. - Excellent understanding & Hands-on experience of Terraform, Azure infra build, CI/CD pipeline setup for applications. - Experience in Azure Kubernetes, App Service, Function app, Logic app application deployment through Azure DevOps CI/CD pipeline. - Experience in Helm Chart. - Experience in Azure Infra build through Azure DevOps Terraform pipeline. - Working knowledge of various dev ops tools, open-source technologies, and cloud services (Azure) - Awareness of critical concepts in DevOps and Agile principles - Troubleshooting Skills. - Automate infrastructure deployment using Infrastructure as Code (IaC) tools. - Collaborate with development teams to integrate DevOps practices into the software development lifecycle. - Ensure high availability and scalability of cloud resources. - Monitor application performance and implement proactive measures for improvement. - Debug and troubleshoot CI/CD issues, streamlining processes for efficient deployment. - Manage and optimize cloud environments for security and compliance. - Network and configure cloud services effectively, ensuring seamless operation. - Conduct regular system audits and vulnerability assessments. - Document processes, architectures, and configuration changes for future reference. - Provide technical support and guidance to team members regarding DevOps tools and practices. - Evaluate and recommend new DevOps tools and technologies as per industry standards. - Participate in Agile ceremonies and contribute to sprint planning and retrospectives. - Drive DevOps best practices within the team to enhance overall productivity. - Engage with stakeholders to understand requirements and translate them into actionable DevOps solutions. Qualifications : - Bachelors degree in Computer Science, Engineering, or related field. - 7+ years of experience in Azure DevOps engineering. - Strong knowledge of CI/CD tools like Azure DevOps, Jenkins, or similar. - Experience with Infrastructure as Code (Terraform, ARM templates, etc. - Solid understanding of Azure cloud services and deployment mechanisms. - Proficiency in containerization technologies (Docker, Kubernetes). - Experience with monitoring and logging tools (Azure Monitor, Application Insights). - Strong scripting skills in languages such as PowerShell, Bash, or Python. - Familiarity with version control systems (Git, Azure Repos). - Experience working in Agile environments and participating in Scrum practices. - Knowledge of security and compliance best practices in cloud environments. - Problem-solving skills with a keen ability to troubleshoot complex issues. - Excellent communication and collaboration skills. - Ability to work independently and as part of a distributed team. - Relevant certifications in Azure DevOps or Cloud computing are a plus.

About the Role: Grade Level (for internal use): 10 Job TitleSenior Business Analyst - Salesforce Location Islamabad About the Role We are looking for a proactive and detail-oriented Salesforce Administrator with strong business analysis skills to join our dynamic team. The ideal candidate will bring a deep understanding of Salesforce platform capabilities along with the ability to translate business needs into effective technical solutions. Hands-on experience with tools such as Conga Composer, Conga Grid, DocuSign , and X-Author is essential. Key Responsibilities: Partner with business stakeholders to gather, analyze, and document functional requirements. Configure and optimize Conga Composer and Conga Grid using standard (out-of-the-box) features to streamline business processes. Troubleshoot and support DocuSign integrations within Salesforce to ensure efficient and reliable electronic signature workflows. Design and configure X-Author templates for streamlined document generation and user-friendly data presentation. Collaborate in User Acceptance Testing (UAT) cycles, including test case execution, issue resolution, and production readiness validation. Required Skills & Qualifications: 24 years of experience as a Salesforce Administrator, with proven business analysis capabilities. Hands-on expertise in Conga configuration and solution enhancements. Proficiency in identifying and resolving DocuSign integration issues within Salesforce. Working knowledge of X-Author and the ability to tailor templates to meet business requirements. Strong verbal and written communication skills; capable of engaging with stakeholders across all levels. Ability to manage and prioritize multiple tasks in a fast-paced, agile environment. Preferred Qualifications: Salesforce Administrator Certification or higher. Experience working within Agile frameworks and familiarity with project tracking tools like Azure DevOps. Understanding of Salesforce data management , validation rules, and data quality best practices. #LI-USA Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- , SWP Priority Ratings - (Strategic Workforce Planning)

About the Role: Grade Level (for internal use): 09 The Team: Join the TeraHelix team within S&P Globals Enterprise Data Organisation (EDO). We are a dynamic group of highly skilled engineers dedicated to building innovative data solutions that empower businesses. Our team works collaboratively on foundational data products, leveraging cutting-edge technologies to solve real-world client challenges. The Impact: As part of the TeraHelix team, you will contribute to the development of our marquee AI-enabled data products, including TeraHelix's GearBox, ETL Mapper and Data Studio solutions. Your work will directly impact our clients by enhancing their data capabilities and driving significant business value. Whats in it for you: Opportunity to work on a distributed, cloud-native, fully Java tech stack (Java 21+) with UI components built in the Vaadin framework. Engage in skill-building and innovation opportunities in a supportive environment. Collaborate with a diverse group of professionals across data, product, and technology disciplines. Contribute to projects that have a tangible impact on the organisation and the industry. Key Responsibilities: Collaborate with software, data and UI/UX engineers to implement test-driven development (TDD) practices in the software development lifecycle. Design, develop and execute unit tests using JUnit and other Java testing frameworks. Create and maintain automated tests for OpenAPI REST APIs top ensure functionality and performance. Identify and troubleshoot defects, providing detailed reports and recommendations for resolution. Conduct performance testing and analysis utilising Java profiling tools (e.g. JProfiler, JVisualVM and Java Flight Recorder) to optimise application performance and scalability. Work closely with development teams to ensure high quality code and adherence to testing standards. Document testing processes, test cases and results to facilitate knowledge sharing and continuous improvement. Stay updated on industry best practices and emerging testing tools and methodologies. What were looking for: Bachelors degree or higher in Computer Science or a related field. Strong experience in software testing, with a focus on Test-Driven Development (TDD) and unit testing. Proficiency in Java and experience with JUnit and other Java testing frameworks. Familiarity with testing OpenAPI REST APIs and understanding of API testing tools. Knowledge of performance testing methodologies and tools, including experience with Java profiling tools (e.g. JProfiler, Gatling). Excellent problem-solving skills and attention to detail. Strong collaboration and communication skills to work effectively with development teams. Ability to analyse complex systems and identify potential issues early in the development process. Nice to have: Experience with other testing frameworks (e.g. Mockito). Familiarity with continuous integration / continuous deployment (CI/CD) practices and tools. Knowledge of version control systems (e.g. Git, GitHub, Bitbucket, Azure DevOps). Understanding of Agile methodologies. Interest in exploring new testing tools and technologies to enhance the testing process. Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----

Key Responsibilities: Design, develop, and optimize scalable data pipelines using Databricks (PySpark, Scala, SQL). Implement ETL/ELT workflows for large-scale data integration across cloud and on-premise environments. Leverage Microsoft Fabric (Data Factory, OneLake, Lakehouse, DirectLake, etc.) to build unified data solutions. Collaborate with data architects, analysts, and stakeholders to deliver business-critical data models and pipelines. Monitor and troubleshoot performance issues in data pipelines. Ensure data governance, quality, and security across all data assets. Work with Delta Lake, Unity Catalog, and other modern data lakehouse components. Automate and orchestrate workflows using Azure Data Factory, Databricks Workflows, or Microsoft Fabric pipelines. Participate in code reviews, CI/CD practices, and agile ceremonies. Required Skills: 5–7 years of experience in data engineering, with strong exposure to Databricks . Proficient in PySpark, SQL, and performance tuning of Spark jobs. Hands-on experience with Microsoft Fabric components . Experience with Azure Synapse, Data Factory, and Azure Data Lake. Understanding of Lakehouse architecture and modern data mesh principles. Familiarity with Power BI integration and semantic modeling (preferred). Knowledge of DevOps, CI/CD for data pipelines (e.g., using GitHub Actions, Azure DevOps). Excellent problem-solving, communication, and collaboration skills. Roles and Responsibilities Key Responsibilities: Design, develop, and optimize scalable data pipelines using Databricks (PySpark, Scala, SQL). Implement ETL/ELT workflows for large-scale data integration across cloud and on-premise environments. Leverage Microsoft Fabric (Data Factory, OneLake, Lakehouse, DirectLake, etc.) to build unified data solutions. Collaborate with data architects, analysts, and stakeholders to deliver business-critical data models and pipelines. Monitor and troubleshoot performance issues in data pipelines. Ensure data governance, quality, and security across all data assets. Work with Delta Lake, Unity Catalog, and other modern data lakehouse components. Automate and orchestrate workflows using Azure Data Factory, Databricks Workflows, or Microsoft Fabric pipelines. Participate in code reviews, CI/CD practices, and agile ceremonies. Required Skills: 5–7 years of experience in data engineering, with strong exposure to Databricks . Proficient in PySpark, SQL, and performance tuning of Spark jobs. Hands-on experience with Microsoft Fabric components . Experience with Azure Synapse, Data Factory, and Azure Data Lake. Understanding of Lakehouse architecture and modern data mesh principles. Familiarity with Power BI integration and semantic modeling (preferred). Knowledge of DevOps, CI/CD for data pipelines (e.g., using GitHub Actions, Azure DevOps). Excellent problem-solving, communication, and collaboration skills.

About the Role: Grade Level (for internal use): 11 The Role: Foreseer AI Lead The Team The Foreseer team delivers digital transformation solutions at SPGMI for information extraction from structures and semi structured documents and websites. Foreseer is a human in the loop platform that combines latest AI/ML advances with a state-of-the-art UI for delivering multiple projects, all powered by a core distributed, cloud native, auto scalable framework. Team comprises of experts in Java and Python language and ML engineers. Responsibilities Include Support and foster a quality-first, agile culture that is built on partnership, trust and sharing Design, develop and maintain functionalities to create new solutions on the platform. Learning and understanding all aspects of the framework and the project deliverables. Be technically deep and provide input on architecture, design and code. Be responsible for driving technical design, architecture and implementation of new features and iterations of your project. Collaborate closely with business and PM stakeholders in roadmap planning and implementation efforts and ensure technical milestones align with business requirements. Implement security measures and compliance standards to protect sensitive data and ensure adherence to industry regulations. Maintain comprehensive documentation of platform, processes and procedures for reference and knowledge sharing. Ensure the use of standards, governance and best practices in the industry to deliver high quality scalable solutions. Ability to adapt communication styles to various audiences, from engineers to business stakeholders and executive leadership. Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills. Experience & Qualifications BS or MS degree in Computer Science, AI/ML, Data Science or related field. Overall experience should be 10+ Years. 6+ years hands on experience in AI/ML, Data Science or Technology Strategy 3+ years of experience in leadership roles. Strong understanding of AI technologies (e.g. Genrative AI, NLP, Computer Vision) and their business applications. Background in Consulting or Corporate strategy with focus on AI. Familiarity with AI platforms (e.g., TensorFlow, PyTorch) and cloud AI services (AWS, GCP, Azure). Hands on experience in leveraging language models for information retrieval. Experience in different data base technologies (like RDBMS, NOSQL) Experience in Containerization, Container orchestration systems, cloud platforms, CI/CD, and deployments through CI/CD pipelines, and AWS services like S3, EKS, EC2 etc. Proficiency in the development environment, including IDE, web & application server, GIT, Azure DevOps, unit-testing tool and defect management tools Nice to Have Skills Distributed systems programming. Hands on experience in Java and Front End technologies. Hands on experience with Elastic/Redis search. Experience in Agile and Scrum methodologies Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

About the Role: Grade Level (for internal use): 10 The Role: Foreseer AI Data Scientist III The Team The Foreseer team delivers digital transformation solutions at SPGMI for information extraction from structures and semi structured documents and websites. Foreseer is a human in the loop platform that combines latest AI/ML advances with a state-of-the-art UI for delivering multiple projects, all powered by a core distributed, cloud native, auto scalable framework. Team comprises of experts in Java and Python language and ML engineers. Responsibilities Include Support and foster a quality-first, agile culture that is built on partnership, trust and sharing Design, develop and maintain functionalities to create new solutions on the platform. Learning and understanding all aspects of the framework and the project deliverables. Be technically deep and provide input on architecture, design and code. Be responsible for driving technical design, architecture and implementation of new features and iterations of your project. Collaborate closely with business and PM stakeholders in roadmap planning and implementation efforts and ensure technical milestones align with business requirements. Implement security measures and compliance standards to protect sensitive data and ensure adherence to industry regulations. Maintain comprehensive documentation of platform, processes and procedures for reference and knowledge sharing. Ensure the use of standards, governance and best practices in the industry to deliver high quality scalable solutions. Ability to adapt communication styles to various audiences, from engineers to business stakeholders and executive leadership. Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills. Experience & Qualifications BS or MS degree in Computer Science, AI/ML, Data Science or related field. Overall experience should be 8+ Years. 4+ years hands on experience in AI/ML, Data Science or Technology Strategy Strong understanding of AI technologies (e.g. Generative AI, NLP, Computer Vision) and their business applications. Background in Consulting or Corporate strategy with focus on AI. Familiarity with AI platforms (e.g., TensorFlow, PyTorch) and cloud AI services (AWS, GCP, Azure). Hands on experience in leveraging language models for information retrieval. Experience in different data base technologies (like RDBMS, NOSQL) Experience in Containerization, Container orchestration systems, cloud platforms, CI/CD, and deployments through CI/CD pipelines, and AWS services like S3, EKS, EC2 etc. Proficiency in the development environment, including IDE, web & application server, GIT, Azure DevOps, unit-testing tool and defect management tools Nice to Have Skills Distributed systems programming. Hands on experience in Java and Front-End technologies. Hands on experience with Elastic/Redis search. Experience in Agile and Scrum methodologies Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- , SWP Priority Ratings - (Strategic Workforce Planning)

About the Role: Grade Level (for internal use): 10 The Team: Join the TeraHelix team within S&P Globals Enterprise Data Organisation (EDO). We are a dynamic group of highly skilled engineers dedicated to building innovative data solutions that empower businesses. Our team works collaboratively on foundational data products, leveraging cutting-edge technologies to solve real-world client challenges. The Impact: As part of the TeraHelix team, you will contribute to the development of our marquee AI-enabled data products, including TeraHelix's GearBox, ETL Mapper and Data Studio solutions. Your work will directly impact our clients by enhancing their data capabilities and driving significant business value. Whats in it for you: Opportunity to work on a distributed, cloud-native, fully Java tech stack (Java 21+) with UI components built in the Vaadin framework. Engage in skill-building and innovation opportunities in a supportive environment. Collaborate with a diverse group of professionals across data, product, and technology disciplines. Contribute to projects that have a tangible impact on the organisation and the industry. Key Responsibilities: Design, develop and maintain robust data pipelines to support data ingestion, transformation and storage. Write efficient SQL queries for data extraction, manipulation and analysis. Utilise Apache Spark & Python for data processing, automation and integration with various data sources. Collaborate with data scientists and stakeholders to understand data requirements and deliver actionable insights. Implement data quality checks and validation processes to ensure data accuracy and reliability. Analyse large datasets to identify trends, patterns and anomalies that inform business decisions. Create and maintain documentation for data processes, workflows and architecture. Stay updated on industry best practices and emerging technologies in data engineering and analysis. Provide support using data visualisation tools to help stakeholders interpret data effectively. What were looking for: Bachelors degree or higher in Computer Science or a related field. Strong experience in SQL for data manipulation and analysis. Proficiency in Spark (Java, SQL or PySpark) and Python for data processing and automation tasks. Solid understanding of data engineering principles and best practices. Experience with data analytics and the ability to derive insights from complex datasets. Familiarity with big data technologies (e.g. Hadoop, Spark) and cloud data platforms (e.g. AWS, Azure, GCP). Familiarity with data visualisation tools (e.g. Power BI, Tableau, Qlik) and Data Science Notebooks (e.g. Jupyter, Apache Zeppelin) to present findings effectively. Knowledge of financial or capital markets to understand business domain requirements. Excellent problem-solving skills and attention to detail. Strong communication skills for collaboration with cross-functional teams. Nice to have: Experience with Java for data processing or integration tasks. Knowledge of ETL (Extract, Transform, Load) processes and tools. Understanding of data warehousing concepts and architecture. Experience with version control systems (e.g. Git, GitHub, Bitbucket, Azure DevOps). Interest in machine learning and data science concepts. Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- , SWP Priority Ratings - (Strategic Workforce Planning)

About the Role: Grade Level (for internal use): 09 The Team As a member of the EDO, Collection Platforms & AI Cognitive Engineering team you will build and maintain enterprisescale data extraction, automation, and ML model deployment pipelines that power data sourcing and information retrieval solutions for S&P Global. You will learn to design resilient, production-ready systems in an AWS-based ecosystem while leading by example in a highly engaging, global environment that encourages thoughtful risk-taking and self-initiative. Whats in it for you: Be part of a global company and deliver solutions at enterprise scale Collaborate with a hands-on, technically strong team (including leadership) Solve high-complexity, high-impact problems end-to-end Build, test, deploy, and maintain production-ready pipelines from ideation through deployment Responsibilities: Develop, deploy, and operate data extraction and automation pipelines in production Integrate and deploy machine learning models into those pipelines (e.g., inference services, batch scoring) Lead critical stages of the data engineering lifecycle, including: End-to-end delivery of complex extraction, transformation, and ML deployment projects Scaling and replicating pipelines on AWS (EKS, ECS, Lambda, S3, RDS) Designing and managing DataOps processes, including Celery/Redis task queues and Airflow orchestration Implementing robust CI/CD pipelines on Azure DevOps (build, test, deployment, rollback) Writing and maintaining comprehensive unit, integration, and end-to-end tests (pytest, coverage) Strengthen data quality, reliability, and observability through logging, metrics, and automated alerts Define and evolve platform standards and best practices for code, testing, and deployment Document architecture, processes, and runbooks to ensure reproducibility and smooth hand-offs Partner closely with data scientists, ML engineers, and product teams to align on requirements, SLAs, and delivery timelines Technical Requirements: Expert proficiency in Python, including building extraction libraries and RESTful APIs Hands-on experience with task queues and orchestrationCelery, Redis, Airflow Strong AWS expertiseEKS/ECS, Lambda, S3, RDS/DynamoDB, IAM, CloudWatch Containerization and orchestration Proven experience deploying ML models to production (e.g., SageMaker, ECS, Lambda endpoints) Proficient in writing tests (unit, integration, load) and enforcing high coverage Solid understanding of CI/CD practices and hands-on experience with Azure DevOps pipelines Familiarity with SQL and NoSQL stores for extracted data (e.g., PostgreSQL, MongoDB) Strong debugging, performance tuning, and automation skills Openness to evaluate and adopt emerging tools and languages as needed Good to have: Master's or Bachelor's degree in Computer Science, Engineering, or related field 2-6 years of relevant experience in data engineering, automation, or ML deployment Prior contributions on GitHub, technical blogs, or open-source projects Basic familiarity with GenAI model integration (calling LLM or embedding APIs) Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- IFTECH202.1 - Middle Professional Tier I (EEO Job Group)

About the Role: Grade Level (for internal use): 11 The Team As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. The Impact The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. Whats in it for you Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Key Responsibilities Build production ready data acquisition and transformation pipelines from ideation to deployment Being a hands-on problem solver and developer helping to extend and manage the data platforms Architect and lead the development of end-to-end data ingestion and processing pipelines to support downstream ML workflows Apply best practices in data modeling and building ETL pipelines (streaming and batch) using cloud-native solutions Mentor junior and mid-level data engineers and provide technical guidance and best practices What Were Looking For 7-10 years of professional software work experience Expertise in Python and Apache Spark OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Proficient in optimizing data flows for performance, storage, and cost efficiency Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Problem-solving and debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Core Java 17+, preferably Java 21+, and associated toolchain DevOps with a keen interest in automation Apache Avro Apache Kafka Kubernetes Cloud expertise (AWS and GCP preferably) Other JVM based languages - e.g. Kotlin, Scala C# - in particular .NET Core Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning) Location - Hyderabad,Ahmedabad,Noida,Uttarpradesh,Gurugram

Overview Main Purpose of the Role The Cloud Solution Architect will contribute to the design, implementation, and support of cloud-native applications and applications transitioning from on-premises to PepsiCos public cloud. This role is part of PepsiCos Cloud and SAP Infra Engineering organization. The candidate will assist the Cloud Solution Architects in developing cloud solutions that align with PepsiCos infrastructure and platform guidelines. Working in collaboration with Enterprise Solution Architecture, Infrastructure Engineering, and Capability Teams, the Cloud Solution Engineer will focus on learning and supporting cloud deployments while ensuring compliance with PepsiCos standards for security, networking, and infrastructure best practices. Other Relevant Scope/Measures This role will support a multi-year Cloud First Strategy and Cloud Transformation for PepsiCo, including cloud adoption at scale with Cloud Velocity. Responsibilities Accountabilities Support the development, improvement, and maintenance of cloud-native technology standards under the guidance of senior architects. Assist in delivering cloud solutions by contributing to design reviews and proposals that comply with PepsiCos platform standards and security guidelines. Help implement and validate architecture components across areas such as identity and access management, networking, security, and data integration. Participate in creating and maintaining cloud solution patterns, learning to integrate industry best practices for security and performance. Conduct application portfolio analysis to assist in identifying applications and workloads eligible for cloud migration. Collaborate on application modernization projects under the direction of senior architects. Contribute to cloud migration efforts, including infrastructure, workload, data, and application movement to cloud IaaS and PaaS environments. Gain exposure to automation tools such as Infrastructure as Code (IAC), CI/CD processes, and cloud configuration management. Work closely with the Cloud Engineering team and application/business teams to help ensure cloud environments meet functional requirements. Learn how to prepare architectural documentation and present solutions by supporting senior architects. Develop secure, scalable, and reliable cloud environments across core domains such as networking, data, and applications. Qualifications Experience Bachelor's degree. 1+ years of experience in IT architecture, infrastructure, or cloud strategy. Foundational knowledge of public cloud platforms and interest in learning about migration patterns, tools, and best practices. Mandatory Technical Skills: Basic knowledge of cloud platforms like Azure, AWS, or Google Cloud and their services (e.g., compute, networking, storage). Exposure to cloud application development solutions (e.g., IaaS, serverless, API management), container technologies (e.g., Docker or Kubernetes), or CI/CD pipelines (e.g., Azure DevOps). Familiarity with IT systems and application lifecycle concepts, and a willingness to learn advanced cloud solution designs. Strong technical aptitude and the ability to quickly learn new tools and emerging cloud technologies. Mandatory Non-Technical Skills: Good communication and interpersonal skills to collaborate within a team and across departments. Good collaboration and partnership skills to foster key relationships with other technology, application, and business teams. Troubleshooting skills with an eagerness to learn problem-resolution techniques for technology issues. Ability to adapt to a fast-paced work environment while maintaining attention to detail. Proficiency in documentation and translating technical ideas into easily understandable concepts. Soft skills Eagerness to understand business needs and translate them into cloud-enabled solutions with mentorship from senior team members. Ability to work on assigned tasks with guidance while gradually gaining independence in solving problems and designing solutions. Collaborative mindset to build relationships with team members, technology leaders, and business stakeholders.

Overview We are seeking a seasoned and strategic Delivery Lead with 14+ years of experience to lead the implementation and successful delivery of Real-Time Decisioning solutions across enterprise clients. This role is ideal for a leader who can manage large-scale programs, align cross-functional teams, and deliver intelligent, contextual customer engagement strategies using modern MarTech and decisioning platforms. Responsibilities Program & Delivery Management Lead end-to-end delivery of real-time decisioning programs across multiple workstreams and stakeholder groups. Own project planning, resource allocation, risk management, and client communication for timely and quality delivery. Oversee solution design, development, testing, and rollout phases, ensuring adherence to enterprise standards and best practices. Drive governance, compliance, and audit readiness in all deliverables. Stakeholder & Team Leadership Act as the primary point of contact for business sponsors, product owners, and leadership teams. Collaborate with cross-functional teams including business analysts, architects, developers, QA, and operations. Build and manage high-performing teams; provide mentoring, coaching, and performance management. Ensure ongoing stakeholder alignment, clear communication, and value realization. Functional & Technical Oversight Oversee solution implementation on leading Real-Time Decisioning platforms such as Salesforce Marketing Cloud Personalization / Interaction Studio / Einstein Personalization CleverTap Ensure the solution enables real-time decisioning, next-best-action frameworks, customer segmentation, and personalization across channels. Ensure tight integration with CRM, CDP, campaign systems, and data layers. Agile & Delivery Excellence Promote Agile best practices, DevOps enablement, and continuous improvement across teams. Use tools like Jira, Confluence, and Azure DevOps to manage delivery pipelines and backlogs. Monitor KPIs, delivery metrics, and drive retrospectives to improve velocity and quality. Qualifications 14+ years of experience in IT/MarTech delivery, including 4+ years in real-time decisioning or personalization platforms. Proven track record of managing complex, multi-stream enterprise programs. Strong understanding of MarTech ecosystems, customer data platforms, personalization, and real-time marketing strategies. Experience in Agile/Hybrid delivery models with proficiency in Jira and delivery tools. Excellent leadership, communication, and stakeholder management skills. Hands-on or oversight experience with decisioning tools such as Salesforce Personalization, or CleverTap, etc. Familiarity with cloud platforms (AWS, Azure, GCP)

Overview Design, development and maintenance of Cloud Marketplace Platform, Cloud Infrastructure Automation of different OS platforms and DB Technologies for PepsiCo Enterprise Azure, AWS and private cloud environments using Ansible Responsibilities Develop Ansible Playbooks and Roles for automating OS offerings for Windows/Linux and DB Offerings including Oracle, SQL Server and NoSQL technologies in Cloud (both IaaS and PaaS) using Ansible and Terraform Develop Services and Tools (using Ansible and Terraform, Azure Workbooks, Microsoft forms) to provide an excellent user experience incorporating self-service, automated reporting, collaboration, and isolation where appropriate and a fully auditable platform Design end to end automation solutions (FullStack) for PepsiCo Cloud Marketplace Essential Services (ESS) integration and offerings, Azure and AWS infrastructure foundation, cloud services including tagging, cloud onboarding and policies Develop Azure CI/CD Pipelines, branching standards and coding standards Develop, deploy, and maintain TerraForm modules, PowerShell scripts, TerraForm schema and ARM templates Operationalize automation solutions Collaborate / partner with enterprise IT services teams, InfoSec, application teams, CAVO teams, digital platform teams, sector application teams as well as managed service providers and cloud providers Modernize and automate PepsiCo infrastructure services provisioning to provide faster services provisioning capabilities and improve supportability Responsible for Ansible Automation Platform (AAP) and AWX environments, including developing Execution Environments (EE) as needed for different applications Qualifications 14+ years of automation and Software Development experience including Ansible and Terraform 8+ years of experience administrating Ansible Infrastructure 5+ years of experience creating TF modules, config files 5+ years of experience of automating IT Infrastructure - compute, network, storage and databases 5+ years of experience in Azure and AWS IaaS / PaaS services 5+ years of experience in Azure Dev Ops (ADO) including Version Control

Overview We are seeking a skilled Associate Manager AIOps & MLOps Operations to support and enhance the automation, scalability, and reliability of AI/ML operations across the enterprise. This role requires a solid understanding of AI-driven observability, machine learning pipeline automation, cloud-based AI/ML platforms, and operational excellence. The ideal candidate will assist in deploying AI/ML models, ensuring continuous monitoring, and implementing self-healing automation to improve system performance, minimize downtime, and enhance decision-making with real-time AI-driven insights. Support and maintain AIOps and MLOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in implementing real-time data observability, monitoring, and automation frameworks to enhance data reliability, quality, and operational efficiency. Contribute to developing governance models and execution roadmaps to drive efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments. Ensure seamless integration of CI/CD pipelines, data pipeline automation, and self-healing capabilities across the enterprise. Collaborate with cross-functional teams to support the development and enhancement of next-generation Data & Analytics (D&A) platforms. Assist in managing the people, processes, and technology involved in sustaining Data & Analytics platforms, driving operational excellence and continuous improvement. Support Data & Analytics Technology Transformations by ensuring proactive issue identification and the automation of self-healing capabilities across the PepsiCo Data Estate. Responsibilities Support the implementation of AIOps strategies for automating IT operations using Azure Monitor, Azure Log Analytics, and AI-driven alerting. Assist in deploying Azure-based observability solutions (Azure Monitor, Application Insights, Azure Synapse for log analytics, and Azure Data Explorer) to enhance real-time system performance monitoring. Enable AI-driven anomaly detection and root cause analysis (RCA) by collaborating with data science teams using Azure Machine Learning (Azure ML) and AI-powered log analytics. Contribute to developing self-healing and auto-remediation mechanisms using Azure Logic Apps, Azure Functions, and Power Automate to proactively resolve system issues. Support ML lifecycle automation using Azure ML, Azure DevOps, and Azure Pipelines for CI/CD of ML models. Assist in deploying scalable ML models with Azure Kubernetes Service (AKS), Azure Machine Learning Compute, and Azure Container Instances. Automate feature engineering, model versioning, and drift detection using Azure ML Pipelines and MLflow. Optimize ML workflows with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for data preparation and ETL/ELT automation. Implement basic monitoring and explainability for ML models using Azure Responsible AI Dashboard and InterpretML. Collaborate with Data Science, DevOps, CloudOps, and SRE teams to align AIOps/MLOps strategies with enterprise IT goals. Work closely with business stakeholders and IT leadership to implement AI-driven insights and automation to enhance operational decision-making. Track and report AI/ML operational KPIs, such as model accuracy, latency, and infrastructure efficiency. Assist in coordinating with cross-functional teams to maintain system performance and ensure operational resilience. Support the implementation of AI ethics, bias mitigation, and responsible AI practices using Azure Responsible AI Toolkits. Ensure adherence to Azure Information Protection (AIP), Role-Based Access Control (RBAC), and data security policies. Assist in developing risk management strategies for AI-driven operational automation in Azure environments. Prepare and present program updates, risk assessments, and AIOps/MLOps maturity progress to stakeholders as needed. Support efforts to attract and build a diverse, high-performing team to meet current and future business objectives. Help remove barriers to agility and enable the team to adapt quickly to shifting priorities without losing productivity. Contribute to developing the appropriate organizational structure, resource plans, and culture to support business goals. Leverage technical and operational expertise in cloud and high-performance computing to understand business requirements and earn trust with stakeholders. Qualifications 5+ years of technology work experience in a global organization, preferably in CPG or a similar industry. 5+ years of experience in the Data & Analytics field, with exposure to AI/ML operations and cloud-based platforms. 5+ years of experience working within cross-functional IT or data operations teams. 2+ years of experience in a leadership or team coordination role within an operational or support environment. Experience in AI/ML pipeline operations, observability, and automation across platforms such as Azure, AWS, and GCP. Excellent CommunicationAbility to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence. Customer-Centric ApproachStrong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution. Problem Ownership & AccountabilityProactive mindset to take ownership, drive outcomes, and ensure customer satisfaction. Growth MindsetWillingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment. Operational ExcellenceExperience in managing and improving large-scale operational services with a focus on scalability and reliability. Site Reliability & AutomationUnderstanding of SRE principles, automated remediation, and operational efficiencies. Cross-Functional CollaborationAbility to build strong relationships with internal and external stakeholders through trust and collaboration. Familiarity with CI/CD processes, data pipeline management, and self-healing automation frameworks. Strong understanding of data acquisition, data catalogs, data standards, and data management tools. Knowledge of master data management concepts, data governance, and analytics.

Overview This person will look after the environment management of the salesforce orgs and will also be able to handle the deployments within multiple salesforce orgs. Responsibilities Oversee Salesforce Data Cloud environments across development, staging, and production. Define best practices for environment setup, security, and governance. Manage data pipelines, ingestion processes, and harmonization rules for efficient data flow. Establish role-based access control (RBAC) to ensure data security and compliance. Monitor data processing jobs, ingestion performance, and data harmonization. Ensure compliance with GDPR, CCPA, and other data privacy regulations Establish CI/CD pipelines using tools like Azure DevOps Implement version control and automated deployment strategies for Data Cloud configurations Define a data refresh strategy for lower environments to maintain consistency. Qualifications Mandatory Technical Skills Extensive experience in setting up, maintaining, and troubleshooting CI/CD pipelines for Salesforce apps. Strong knowledge of Azure DevOps tools and pipeline creation, with proficiency in automation scripting (primarily YAML, with additional languages as needed). Hands-on experience with SFDX, Azure Repos, and automated release deployments for Salesforce. Expertise in implementing GIT branching strategies using VS Code integrated with Salesforce CLI tool. Mandatory Skills Proficiency in Salesforce Data Cloud architecture and best practices. Experience with data lake, Snowflake, or cloud-based data storage solutions. Familiarity with OAuth, authentication mechanisms, and data security standards. Salesforce Data Cloud Consultant Certification

Overview We are seeking a highly skilled and analytically strong Site Reliability Engineer ( SRE) and Scrum with 6+ years of experience. The ideal candidate will have a proven track record in managing SRE responsibilities across multiple teams, with deep expertise in Active Directory (AD) groups, Databricks, architecture design, and enterprise tools like Clarity and ServiceNow. Strong Scrum delivery experience and cross-functional collaboration are essential. Responsibilities Key Responsibilities Lead SRE operations across distributed teams, ensuring system reliability, scalability, and performance. Design and implement robust monitoring, alerting, and observability frameworks. Lead Scrum ceremonies Manage and optimize Active Directory (AD) group structures and access controls. Collaborate with data engineering teams to support Databricks environments. Contribute to architectural discussions and decisions for high-availability systems. Drive incident response, root cause analysis, and continuous improvement initiatives. Integrate and manage workflows using Clarity PPM and ServiceNow for change, incident, and problem management. Actively participate in Scrum ceremonies (daily stand-ups, sprint planning, reviews, retrospectives). Collaborate with Product Owners and Scrum Masters to ensure timely and qual ity . Qualifications Education Bachelors or Masters degree in Computer Science, Information Systems, Business Analytics, or a related field. Experience 6+ years of experience in SRE, DevOps, or Infrastructure Engineering roles. Strong analytical thinking and troubleshooting skills. Hands-on experience with Active Directory (AD) group policy management, access provisioning. Databricks cluster management, job orchestration, performance tuning. Architecture designing scalable, fault-tolerant systems. Clarity PPM project tracking, resource planning. ServiceNow incident/change/problem management workflows. Proficiency in monitoring tools (e.g., Prometheus, Grafana, Datadog). Experience with CI/CD pipelines and infrastructure as code (Terraform, Ansible). Familiarity with cloud platforms (Azure, AWS, or GCP). Strong scripting skills (Python, Bash, PowerShell). Solid understanding of Agile/Scrum methodologies and tools like Jira or Azure DevOps. Preferred Qualifications Certified Scrum Master or equivalent Agile certification. Experience working in a global delivery model. Exposure to digital product and reporting services is a plus.

Overview The role will lead and support all cloud-first projects leveraging IaaS or PaaS. The role would join \"Cloud Acceleration and Valued Office\" which got started in 2021 and would lead migrating all onpremise datacenter applications and infrastructure to the Public cloud. As these are cloud first projects, they require support to provide a cloud concierge type of service shepherding projects through various review/approval processes, bringing together team members to assess what cloud services will be required and plan for build-out. The role of the cloud concierge is to help sift through options and select cloud services that are the most robust and cost-effective for the project, without overengineering a solution and increasing its cost. This role will lead cloud migrations and help to develop support models / ensure a smooth transition to sustain teams. Will require validation of cost for the proposed implementation, confirmation/testing of high availability/disaster recovery, reviews to ensure data is secured properly. Will drive cloud projects globally and work with multiple time zones. Will have accountability to ensure accurate reporting on project SLAs and KPIs. Accountabilities Work with relevant customer leaders to define and create specific implementation plans Manage aspects of cloud project implementation including initiation, execution, and delivery Engage with multiple vendors/partner teams to ensure minimal risk/business disruption Review / assess implementation approach, potential risks, costs, etc. Responsibilities The Cloud Application Migration Product Owner will focus on migrating on-premise applications to the cloud in a methodical, agile way that enables migration at the scale and speed required to enable our digital transformation. You will define and lead cloud migration projects spanning multiple business units/sectors while ensuring a seamless transition from an on-prem to cloud operating environment. Work with relevant sector leaders to define and create sector specific application migration plans Define and follow the migration playbook with emphasis on capturing the advantages of operating in the cloud for migrated applications Partner with Cloud Engineering, Cloud Ops, and other teams in executing migration projects to ensure minimal risk and business disruption Provide deep cloud migration expertise covering infrastructure, application architectures, cloud capabilities, security, etc. Scripting / automation mindset and skills to automate routine tasks and extracts of data out of Azure for KPI and other metric reporting Qualifications 10+ years Cloud Solution Architecture skills (Azure or AWS) Experience with private, hybrid or public cloud technology Experience migrating large scale business applications from DC to Cloud or Cloud to Cloud Good Understanding of Migration Framework, Process and has extensive experience working on Lift & Shift migrations Scripting experience (must be fluent in a scripting language such asbash, python) Detail oriented self-starter capable of working independently. Minimum of 5 years of experience with data centers, consolidation, relocation, migration, technology refresh/modernization projects Application Knowledge, Compute & Database experience. Experience with Safe Agile Methodologies (Azure DevOps) Minimum of a Bachelor's Degree in computer science or equivalent experience

Overview We are seeking a skilled Associate Manager AIOps & MLOps Operations to support and enhance the automation, scalability, and reliability of AI/ML operations across the enterprise. This role requires a solid understanding of AI-driven observability, machine learning pipeline automation, cloud-based AI/ML platforms, and operational excellence. The ideal candidate will assist in deploying AI/ML models, ensuring continuous monitoring, and implementing self-healing automation to improve system performance, minimize downtime, and enhance decision-making with real-time AI-driven insights. Support and maintain AIOps and MLOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in implementing real-time data observability, monitoring, and automation frameworks to enhance data reliability, quality, and operational efficiency. Contribute to developing governance models and execution roadmaps to drive efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments. Ensure seamless integration of CI/CD pipelines, data pipeline automation, and self-healing capabilities across the enterprise. Collaborate with cross-functional teams to support the development and enhancement of next-generation Data & Analytics (D&A) platforms. Assist in managing the people, processes, and technology involved in sustaining Data & Analytics platforms, driving operational excellence and continuous improvement. Support Data & Analytics Technology Transformations by ensuring proactive issue identification and the automation of self-healing capabilities across the PepsiCo Data Estate. Responsibilities Support the implementation of AIOps strategies for automating IT operations using Azure Monitor, Azure Log Analytics, and AI-driven alerting. Assist in deploying Azure-based observability solutions (Azure Monitor, Application Insights, Azure Synapse for log analytics, and Azure Data Explorer) to enhance real-time system performance monitoring. Enable AI-driven anomaly detection and root cause analysis (RCA) by collaborating with data science teams using Azure Machine Learning (Azure ML) and AI-powered log analytics. Contribute to developing self-healing and auto-remediation mechanisms using Azure Logic Apps, Azure Functions, and Power Automate to proactively resolve system issues. Support ML lifecycle automation using Azure ML, Azure DevOps, and Azure Pipelines for CI/CD of ML models. Assist in deploying scalable ML models with Azure Kubernetes Service (AKS), Azure Machine Learning Compute, and Azure Container Instances. Automate feature engineering, model versioning, and drift detection using Azure ML Pipelines and MLflow. Optimize ML workflows with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for data preparation and ETL/ELT automation. Implement basic monitoring and explainability for ML models using Azure Responsible AI Dashboard and InterpretML. Collaborate with Data Science, DevOps, CloudOps, and SRE teams to align AIOps/MLOps strategies with enterprise IT goals. Work closely with business stakeholders and IT leadership to implement AI-driven insights and automation to enhance operational decision-making. Track and report AI/ML operational KPIs, such as model accuracy, latency, and infrastructure efficiency. Assist in coordinating with cross-functional teams to maintain system performance and ensure operational resilience. Support the implementation of AI ethics, bias mitigation, and responsible AI practices using Azure Responsible AI Toolkits. Ensure adherence to Azure Information Protection (AIP), Role-Based Access Control (RBAC), and data security policies. Assist in developing risk management strategies for AI-driven operational automation in Azure environments. Prepare and present program updates, risk assessments, and AIOps/MLOps maturity progress to stakeholders as needed. Support efforts to attract and build a diverse, high-performing team to meet current and future business objectives. Help remove barriers to agility and enable the team to adapt quickly to shifting priorities without losing productivity. Contribute to developing the appropriate organizational structure, resource plans, and culture to support business goals. Leverage technical and operational expertise in cloud and high-performance computing to understand business requirements and earn trust with stakeholders. Qualifications 5+ years of technology work experience in a global organization, preferably in CPG or a similar industry. 5+ years of experience in the Data & Analytics field, with exposure to AI/ML operations and cloud-based platforms. 5+ years of experience working within cross-functional IT or data operations teams. 2+ years of experience in a leadership or team coordination role within an operational or support environment. Experience in AI/ML pipeline operations, observability, and automation across platforms such as Azure, AWS, and GCP. Excellent CommunicationAbility to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence. Customer-Centric ApproachStrong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution. Problem Ownership & AccountabilityProactive mindset to take ownership, drive outcomes, and ensure customer satisfaction. Growth MindsetWillingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment. Operational ExcellenceExperience in managing and improving large-scale operational services with a focus on scalability and reliability. Site Reliability & AutomationUnderstanding of SRE principles, automated remediation, and operational efficiencies. Cross-Functional CollaborationAbility to build strong relationships with internal and external stakeholders through trust and collaboration. Familiarity with CI/CD processes, data pipeline management, and self-healing automation frameworks. Strong understanding of data acquisition, data catalogs, data standards, and data management tools. Knowledge of master data management concepts, data governance, and analytics.

Overview Main Purpose of the Role The Cloud Solution Architect will be responsible for the end-to-end integrated solution design and architecture for cloud-native applications and applications transitioning from on-premises to PepsiCos public cloud. This position is part of PepsiCos Cloud and SAP Infra Engineering organizationa multidisciplinary team responsible for setting infrastructure standards, designing solution patterns, providing automated deployment of services, and architecting secure, robust, and innovative solutions aligned with PepsiCos standards. The candidate will collaborate with the Enterprise Solution Architecture, Infrastructure Engineering, and Capability Teams to develop cloud solutions. As a member of the Cloud Solution Architecture team, the Cloud Solution Architect will design, validate, and approve cloud architectures based on PepsiCos approved networking and security patterns while supporting key operational aspects such as availability, reliability, performance, monitoring, and integration of on-premises and public cloud infrastructure. Other Relevant Scope/Measures This role will be key to driving PepsiCos multi-year Cloud Transformation journey, enabling cloud adoption at scale through Cloud Velocity and ensuring a streamlined documentation approach to enhance operational efficiency. Responsibilities Accountabilities Provide architecture guidance, interacting with business users and migration teams to plan, develop, improve, and maintain complex data tier technology standards. Participate in cloud solution architecture review boards to review, govern, and approve solutions, ensuring compliance with platform standards defined by the cloud engineering and Enterprise Solution Architecture teams. Design, validate, and implement complex architectures, coordinating across areas such as application development, identity and access management, networking, data management, and security. Develop and maintain cloud solution architecture patterns and standards, incorporating security principles and best practices. Perform application portfolio analysis to identify candidate applications and workloads for cloud migration and lead application modernization efforts during this transition. Act as a consultant to understand application topologies, recommending advanced cloud data tier and integration platforms/services. Work closely with the Cloud Engineering team and collaborate with application and business teams to provide optimal environments for applications and deliver business functionality. Deliver technical architecture design and reviews using PepsiCo-approved infrastructure and security patterns. Design efficient, secure, adaptable, scalable, and reliable cloud solutions across data, networking, and application domains. Develop and maintain comprehensive internal technical documentation for cloud architecture designs, solution patterns, workflows, migration processes, and operational guidelines. Ensure all solution designs, technical decisions, and migration methodologies are documented in standardized templates for consistent communication and reuse across teams. Act as an advocate for well-documented processes, helping to establish PepsiCos technical documentation repository as the single source of truth for architectural designs and operational playbooks. Qualifications Experience Bachelors degree. 2+ years of experience in IT architecture and documentation. 2+ years of experience with public cloud architecture, cloud strategy, networking, security, migration patterns, and tools. Mandatory Technical Skills: Strong expertise in converting business requirements into architectural solutions with a specific emphasis on documenting outcomes effectively. Knowledge of cloud design patterns, cloud operations, and cloud cost models with experience implementing best practices or suggested improvements. Proven ability to create, review, and maintain detailed technical documentation , including architecture diagrams, solution patterns, and migration workflows. Experience in re-architecting/refactoring applications for cloud platforms. Experience with various enterprise applications and IT services, as well as software development, compliance and security, and IT operations disciplines. Experience in cloud application development solutions (e.g., IaaS, Serverless, API Management), container orchestration (e.g., Kubernetes), continuous integration technologies (e.g. Azure DevOps), web application server technologies, cloud application design, software architecture and practices (Agile, SCRUM), and technical aptitude to learn and adjust to new technologies and cloud trends required. Mandatory Non-Technical Skills: Excellent communication skills with a strong ability to translate complex technical concepts into documentation that is accessible to technical and non-technical audiences alike. Solid foundation in IT operational concepts and procedures. Strong attention to detail, with disciplined documentation practices to ensure clarity, completeness, and accessibility. Ability to thrive in a fast-paced and demanding work environment. Strong analytical skills to support problem troubleshooting, resolution, and root cause determination for complex technology issues. Managing project interdependencies and assessing implications for programs based on the consideration of other projects. Good collaboration and partnership skills to foster key relationships with other technology, application, and business teams. Soft skills Ability to understand business requirements and develop innovative cloud solutions while ensuring compliance with cloud engineering standards and solution guidelines. The capability of conceptual selling to present recommendations compellingly and business-relevantly, with effective analysis and excellent collaboration and influencing skills to ensure enterprise-wide compliance with IT standards and guidelines. Highly effective collaboration and stakeholder engagement skills, with a focus on creating documentation-driven alignment between IT teams and enterprise business units.

Overview Seeking a Manager, Data Operations, to support our growing data organization. In this role, you will play a key role in maintaining data pipelines and corresponding platforms (on-prem and cloud) while collaborating with global teams on DataOps initiatives. Manage the day-to-day operations of data pipelines, ensuring governance, reliability, and performance optimization on Microsoft Azure. This role requires hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, real-time streaming architectures, and DataOps methodologies. Ensure availability, scalability, automation, and governance of enterprise data pipelines supporting analytics, AI/ML, and business intelligence. Support DataOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in implementing real-time data observability, monitoring, and automation frameworks to improve data reliability, quality, and operational efficiency. Contribute to the development of governance models and execution roadmaps to optimize efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments. Work on CI/CD integration, data pipeline automation, and self-healing capabilities to enhance enterprise-wide data operations. Collaborate on building and supporting next-generation Data & Analytics platforms while fostering an agile and high-performing DataOps team. Support the adoption of Data & Analytics technology transformations, ensuring full sustainment capabilities and automation for proactive issue identification and resolution. Partner with cross-functional teams to drive process improvements, best practices, and operational excellence within DataOps. Responsibilities Support the implementation and optimization of enterprise-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics. Assist in managing end-to-end data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability. Ensure seamless batch, real-time, and streaming data processing while focusing on high availability and fault tolerance. Contribute to DataOps automation initiatives, including CI/CD for data pipelines, automated testing, and version control using Azure DevOps, Terraform, and Infrastructure-as-Code (IaC). Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to enable data-driven decision-making. Work with IT, data stewards, and compliance teams to align DataOps practices with regulatory and security requirements. Support data operations and sustainment efforts, including testing and monitoring processes to support global products and projects. Assist in data capture, storage, integration, governance, and analytics initiatives, collaborating with cross-functional teams. Manage day-to-day DataOps activities, ensuring adherence to service-level agreements (SLAs) and business requirements. Engage with SMEs and business stakeholders to align data platform capabilities with business needs. Participate in the Agile work intake and management process to support execution excellence for data platform teams. Collaborate with cross-functional teams to troubleshoot and resolve issues related to cloud infrastructure and data services. Assist in developing and automating operational policies and procedures to improve efficiency and service resilience. Support incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies. Foster a customer-centric environment, advocating for operational excellence and continuous service improvements. Contribute to building a collaborative, high-performing team culture focused on automation and efficiency in DataOps. Adapt to shifting priorities and support cross-functional teams in maintaining productivity while meeting business goals. Leverage technical expertise in cloud and data operations to improve service reliability and scalability. Qualifications 12+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred. 12+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance. 8+ years of experience working within a cross-functional IT organization, collaborating with multiple teams. 5+ years of experience in a management or lead role, with a focus on DataOps execution and delivery. Hands-on experience with Azure Data Factory (ADF) for orchestrating data pipelines and ETL workflows. Proficiency in Azure Synapse Analytics, Azure Data Lake Storage (ADLS), and Azure SQL Database. Familiarity with Azure Databricks for large-scale data processing (basic troubleshooting or support scope is sufficient if not engineering-focused). Exposure to cloud environments (AWS, Azure, GCP) and understanding of CI/CD pipelines for data operations. Knowledge of structured and semi-structured data storage formats (e.g., Parquet, JSON, Delta). Excellent communication skills, with the ability to empathize with stakeholders and articulate technical concepts to non-technical audiences. Strong problem-solving abilities, prioritizing customer needs and advocating for operational improvements. Customer-focused mindset, ensuring high-quality service delivery and operational excellence. Growth mindset, with a willingness to learn and adapt to new technologies and methodologies in a fast-paced environment. Experience in supporting mission-critical solutions in a Microsoft Azure environment, including data pipeline automation. Familiarity with Site Reliability Engineering (SRE) practices, such as automated issue remediation and scalability improvements. Experience driving operational excellence in complex, high-availability data environments. Ability to collaborate across teams, fostering strong relationships with business and IT stakeholders. Experience in data management concepts, including master data management, data governance, and analytics. Knowledge of data acquisition, data catalogs, data standards, and data management tools. Strong analytical and strategic thinking skills, with the ability to execute plans effectively and drive results. Proven ability to work in a fast-changing, complex environment, adapting to shifting priorities while maintaining productivity.

Overview We are seeking a skilled Associate Manager AIOps & MLOps Operations to support and enhance the automation, scalability, and reliability of AI/ML operations across the enterprise. This role requires a solid understanding of AI-driven observability, machine learning pipeline automation, cloud-based AI/ML platforms, and operational excellence. The ideal candidate will assist in deploying AI/ML models, ensuring continuous monitoring, and implementing self-healing automation to improve system performance, minimize downtime, and enhance decision-making with real-time AI-driven insights. Support and maintain AIOps and MLOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in implementing real-time data observability, monitoring, and automation frameworks to enhance data reliability, quality, and operational efficiency. Contribute to developing governance models and execution roadmaps to drive efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments. Ensure seamless integration of CI/CD pipelines, data pipeline automation, and self-healing capabilities across the enterprise. Collaborate with cross-functional teams to support the development and enhancement of next-generation Data & Analytics (D&A) platforms. Assist in managing the people, processes, and technology involved in sustaining Data & Analytics platforms, driving operational excellence and continuous improvement. Support Data & Analytics Technology Transformations by ensuring proactive issue identification and the automation of self-healing capabilities across the PepsiCo Data Estate. Responsibilities Support the implementation of AIOps strategies for automating IT operations using Azure Monitor, Azure Log Analytics, and AI-driven alerting. Assist in deploying Azure-based observability solutions (Azure Monitor, Application Insights, Azure Synapse for log analytics, and Azure Data Explorer) to enhance real-time system performance monitoring. Enable AI-driven anomaly detection and root cause analysis (RCA) by collaborating with data science teams using Azure Machine Learning (Azure ML) and AI-powered log analytics. Contribute to developing self-healing and auto-remediation mechanisms using Azure Logic Apps, Azure Functions, and Power Automate to proactively resolve system issues. Support ML lifecycle automation using Azure ML, Azure DevOps, and Azure Pipelines for CI/CD of ML models. Assist in deploying scalable ML models with Azure Kubernetes Service (AKS), Azure Machine Learning Compute, and Azure Container Instances. Automate feature engineering, model versioning, and drift detection using Azure ML Pipelines and MLflow. Optimize ML workflows with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for data preparation and ETL/ELT automation. Implement basic monitoring and explainability for ML models using Azure Responsible AI Dashboard and InterpretML. Collaborate with Data Science, DevOps, CloudOps, and SRE teams to align AIOps/MLOps strategies with enterprise IT goals. Work closely with business stakeholders and IT leadership to implement AI-driven insights and automation to enhance operational decision-making. Track and report AI/ML operational KPIs, such as model accuracy, latency, and infrastructure efficiency. Assist in coordinating with cross-functional teams to maintain system performance and ensure operational resilience. Support the implementation of AI ethics, bias mitigation, and responsible AI practices using Azure Responsible AI Toolkits. Ensure adherence to Azure Information Protection (AIP), Role-Based Access Control (RBAC), and data security policies. Assist in developing risk management strategies for AI-driven operational automation in Azure environments. Prepare and present program updates, risk assessments, and AIOps/MLOps maturity progress to stakeholders as needed. Support efforts to attract and build a diverse, high-performing team to meet current and future business objectives. Help remove barriers to agility and enable the team to adapt quickly to shifting priorities without losing productivity. Contribute to developing the appropriate organizational structure, resource plans, and culture to support business goals. Leverage technical and operational expertise in cloud and high-performance computing to understand business requirements and earn trust with stakeholders. Qualifications 5+ years of technology work experience in a global organization, preferably in CPG or a similar industry. 5+ years of experience in the Data & Analytics field, with exposure to AI/ML operations and cloud-based platforms. 5+ years of experience working within cross-functional IT or data operations teams. 2+ years of experience in a leadership or team coordination role within an operational or support environment. Experience in AI/ML pipeline operations, observability, and automation across platforms such as Azure, AWS, and GCP. Excellent CommunicationAbility to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence. Customer-Centric ApproachStrong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution. Problem Ownership & AccountabilityProactive mindset to take ownership, drive outcomes, and ensure customer satisfaction. Growth MindsetWillingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment. Operational ExcellenceExperience in managing and improving large-scale operational services with a focus on scalability and reliability. Site Reliability & AutomationUnderstanding of SRE principles, automated remediation, and operational efficiencies. Cross-Functional CollaborationAbility to build strong relationships with internal and external stakeholders through trust and collaboration. Familiarity with CI/CD processes, data pipeline management, and self-healing automation frameworks. Strong understanding of data acquisition, data catalogs, data standards, and data management tools. Knowledge of master data management concepts, data governance, and analytics.

Overview Design, development and maintenance of Cloud Marketplace Platform, Cloud Infrastructure Automation of different OS platforms and DB Technologies for PepsiCo Enterprise Azure, AWS and private cloud environments using Ansible Responsibilities Develop Ansible Playbooks and Roles for automating OS offerings for Windows/Linux and DB Offerings including Oracle, SQL Server and NoSQL technologies in Cloud (both IaaS and PaaS) using Ansible and Terraform Develop Services and Tools (using Ansible and Terraform, Azure Workbooks, Microsoft forms) to provide an excellent user experience incorporating self-service, automated reporting, collaboration, and isolation where appropriate and a fully auditable platform Design end to end automation solutions (FullStack) for PepsiCo Cloud Marketplace Essential Services (ESS) integration and offerings, Azure and AWS infrastructure foundation, cloud services including tagging, cloud onboarding and policies Develop Azure CI/CD Pipelines, branching standards and coding standardsDevelop, deploy, and maintain TerraForm modules, PowerShell scripts, TerraForm schema and ARM templates Operationalize automation solutions Collaborate / partner with enterprise IT services teams, InfoSec, application teams, CAVO teams, digital platform teams, sector application teams as well as managed service providers and cloud providers Modernize and automate PepsiCo infrastructure services provisioning to provide faster services provisioning capabilities and improve supportability Qualifications Minimum 10 years of experience. 8+ years of experience in Ansible Playbooks and Roles Development 5+ years of experience creating TF modules, config files 5+ years of experience administrating Ansible Infrastructure 5+ years of experience of automating IT Infrastructure - compute, network, storage and databases 5+ years of experience in Azure IaaS / PaaS services 5+ years of experience in Azure Dev Ops (ADO) including Version Control

Overview We are seeking a skilled Associate Manager AIOps & MLOps Operations to support and enhance the automation, scalability, and reliability of AI/ML operations across the enterprise. This role requires a solid understanding of AI-driven observability, machine learning pipeline automation, cloud-based AI/ML platforms, and operational excellence. The ideal candidate will assist in deploying AI/ML models, ensuring continuous monitoring, and implementing self-healing automation to improve system performance, minimize downtime, and enhance decision-making with real-time AI-driven insights. Support and maintain AIOps and MLOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in implementing real-time data observability, monitoring, and automation frameworks to enhance data reliability, quality, and operational efficiency. Contribute to developing governance models and execution roadmaps to drive efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments. Ensure seamless integration of CI/CD pipelines, data pipeline automation, and self-healing capabilities across the enterprise. Collaborate with cross-functional teams to support the development and enhancement of next-generation Data & Analytics (D&A) platforms. Assist in managing the people, processes, and technology involved in sustaining Data & Analytics platforms, driving operational excellence and continuous improvement. Support Data & Analytics Technology Transformations by ensuring proactive issue identification and the automation of self-healing capabilities across the PepsiCo Data Estate. Responsibilities Support the implementation of AIOps strategies for automating IT operations using Azure Monitor, Azure Log Analytics, and AI-driven alerting. Assist in deploying Azure-based observability solutions (Azure Monitor, Application Insights, Azure Synapse for log analytics, and Azure Data Explorer) to enhance real-time system performance monitoring. Enable AI-driven anomaly detection and root cause analysis (RCA) by collaborating with data science teams using Azure Machine Learning (Azure ML) and AI-powered log analytics. Contribute to developing self-healing and auto-remediation mechanisms using Azure Logic Apps, Azure Functions, and Power Automate to proactively resolve system issues. Support ML lifecycle automation using Azure ML, Azure DevOps, and Azure Pipelines for CI/CD of ML models. Assist in deploying scalable ML models with Azure Kubernetes Service (AKS), Azure Machine Learning Compute, and Azure Container Instances. Automate feature engineering, model versioning, and drift detection using Azure ML Pipelines and MLflow. Optimize ML workflows with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for data preparation and ETL/ELT automation. Implement basic monitoring and explainability for ML models using Azure Responsible AI Dashboard and InterpretML. Collaborate with Data Science, DevOps, CloudOps, and SRE teams to align AIOps/MLOps strategies with enterprise IT goals. Work closely with business stakeholders and IT leadership to implement AI-driven insights and automation to enhance operational decision-making. Track and report AI/ML operational KPIs, such as model accuracy, latency, and infrastructure efficiency. Assist in coordinating with cross-functional teams to maintain system performance and ensure operational resilience. Support the implementation of AI ethics, bias mitigation, and responsible AI practices using Azure Responsible AI Toolkits. Ensure adherence to Azure Information Protection (AIP), Role-Based Access Control (RBAC), and data security policies. Assist in developing risk management strategies for AI-driven operational automation in Azure environments. Prepare and present program updates, risk assessments, and AIOps/MLOps maturity progress to stakeholders as needed. Support efforts to attract and build a diverse, high-performing team to meet current and future business objectives. Help remove barriers to agility and enable the team to adapt quickly to shifting priorities without losing productivity. Contribute to developing the appropriate organizational structure, resource plans, and culture to support business goals. Leverage technical and operational expertise in cloud and high-performance computing to understand business requirements and earn trust with stakeholders. Qualifications 5+ years of technology work experience in a global organization, preferably in CPG or a similar industry. 5+ years of experience in the Data & Analytics field, with exposure to AI/ML operations and cloud-based platforms. 5+ years of experience working within cross-functional IT or data operations teams. 2+ years of experience in a leadership or team coordination role within an operational or support environment. Experience in AI/ML pipeline operations, observability, and automation across platforms such as Azure, AWS, and GCP. Excellent CommunicationAbility to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence. Customer-Centric ApproachStrong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution. Problem Ownership & AccountabilityProactive mindset to take ownership, drive outcomes, and ensure customer satisfaction. Growth MindsetWillingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment. Operational ExcellenceExperience in managing and improving large-scale operational services with a focus on scalability and reliability. Site Reliability & AutomationUnderstanding of SRE principles, automated remediation, and operational efficiencies. Cross-Functional CollaborationAbility to build strong relationships with internal and external stakeholders through trust and collaboration. Familiarity with CI/CD processes, data pipeline management, and self-healing automation frameworks. Strong understanding of data acquisition, data catalogs, data standards, and data management tools. Knowledge of master data management concepts, data governance, and analytics.

Hands on experience in Java development Strong hands on experience with Spring Boot, Spring MVC, and REST API development Experience working with SOAP web services WSDL, XML, XSD and converting them to REST Familiarity with API design tools Swagger/OpenAPI, Postman Good understanding of JSON/XML formats and data binding Jackson, JAXB Proficient in Maven/Gradle, Git, and CI/CD tools e.g., Jenkins, Azure DevOps Working knowledge of exception handling, logging frameworks SLF4J, Logback, and security OAuth2, JWT

Job Title Automation QA EngineerExperience 3-5 YearsLocation Bangalore : We are seeking a detail-oriented and highly motivated Automation QA Engineer with expertise in C# and .Net, specifically using the SpecFlow framework. The ideal candidate will be responsible for ensuring the quality and reliability of Our software products through the design, implementation, and execution of automated test scripts. You will work closely with cross-functional teams, including developers, Product managers, and QA engineers, to deliver high-quality software solutions. Key Responsibilities : Develop, maintain, and execute automated test scripts using C#, .Net, and SpecFlow framework. Collaborate with developers and QA teams to design test plans, test cases, and test scripts to validate functionality and performance. Analyze requirements and provide input on testability during design and planning phases. Identify, document, and track software defects, working closely with the development team to resolve them. Work with DevOps team to Implement and maintain CI/CD pipelines for automated testing. Create and manage test data, environments, and tools to support automated testing. Continuously improve the automation framework and testing processes to enhance efficiency and coverage. Provide clear and concise test reports to stakeholders, ensuring visibility of test progress and results. Stay updated with the latest testing tools, trends, and best practices. Technical Skills Proficiency in C# and .Net Framework. Hands-on experience with the SpecFlow framework for Behavior-Driven Development (BDD). Strong understanding of software testing principles, methodologies, and best practices. Experience with test automation tools such as Selenium, NUnit, or similar. Familiarity with CI/CD tools like Jenkins, Azure DevOps, or GitHub Actions. Knowledge of version control systems, particularly Git. Understanding of REST API testing using tools like Postman or RestSharp. Soft Skills Strong analytical and problem-solving skills. Excellent written and verbal communication skills. Ability to work in a collaborative, fast-paced Agile/Scrum environment. Detail-oriented mindset with a passion for delivering high-quality software. Preferred Qualifications Experience in performance testing using tools like JMeter or LoadRunner. Exposure to cloud-based environments (e.g., Azure, AWS). ISTQB or equivalent testing certifications. Education Bachelor's degree in Computer Science, Software Engineering, or a related field. Equivalent work experience may be considered.

Job Title:Financial ConsultantExperience6-8 YearsLocation:Bangalore : Technical Skills: Handle and maintain the LCS environment and Azure portal. Management of multiple cloud instances of Dynamics including initial deployment, code releases and database copies, ensuring clear communication to stakeholders. Code release management, ensuring successful build and deployment to relevant environments with appropriate release notes. Solve technical issues encountered, raising to Microsoft support as required. Coordinate with technical teams on projects to design and implement workflows, Reports, customization, extensions, integrations, and data conversions with the D365 Finance and Supply Chain environment. Perform Microsoft best practices for environment configuration and code implementation. Guide project team members on the technical aspects of the D365 Finance and supply chain. Must have at least 4 End to End Dynamics F&O implementation experience. Demonstrates strong coding skills using D365 FO and its related technologies/tools and designing and developing extensions/customization for Dynamics 365 for Finance and Operations Collaborate with the functional team to produce a Technical Design Document, develop and deploy new features and customize D365 Finance and Operation Integration of D365 Finance and Operation with other systems and apps. Develop SSRS reports and electronic reporting, and dashboards. Engage in discussions with functional consultants for design clarifications. Delivers high-quality X++ / C# code with defined quality standards and guidelines. Collaborate on the creation of application requirements and fit/gap analysis. Write technical specifications and collaborate with the functional team to ensure functional and technical requirements are understood and well-defined. Develop proof of concept solutions where required. Management of multiple cloud instances of Dynamics, including initial deployment, code releases, and database copies, ensuring clear communication with stakeholders. Experience with Azure DevOps, Microsoft Common Data Service, and the Microsoft Power Platform would be advantageous. Process Skills: Exposure to the use of TFS as a collaboration tool and code management process Excellent Communication skills to build effective working relationships across all levels. A solution-oriented thought process with an innovative mindset Provide expertise in the technical area of Microsoft Dynamics 365 Finance and operations. Strong analytical and interpersonal skills, with a commitment to professional and client service excellence Behavioural Skills: Excellent verbal and written communication Excellent Organisation and time management skills Should have excellent customer-handling skills. Certification: Dynamics 365 F&O technical