SDET Manager

About The Role Grade Level (for internal use): 11

The Team The Quality Engineering team is at the forefront of leveraging AI technologies to enhance the quality and efficiency of our product delivery. In partnership with various Technology Functions and the Business, the team operates in an Agile environment and is globally distributed. The team is responsible for driving decisions that continuously improve customer experience and operational efficiency through innovative AI-driven solutions.

The Impact As an SDET Manager, you will lead and scale engineering-driven quality practices, defining and implementing AI-enabled test automation frameworks across Web, Data, API, and Services platforms. You will be responsible for driving intelligent test optimization strategies that improve automation efficiency, reliability, and coverage, while significantly reducing time to market. The role requires close collaboration with software engineers, architects, and product teams to embed quality into the development lifecycle. You will leverage advanced technologies and data-driven insights to guide automation standards, mentor SDET teams, and ensure the delivery of high-quality, scalable software solutions.

What’s In It For You

• Collaborate with a team of highly skilled, ambitious, and result-oriented professionals focused on AI advancements.
• Utilize cutting-edge AI technologies to innovate testing methodologies and enhance automation.
• Experience a dynamic environment that allows you to think and act like a developer while fulfilling QA responsibilities.
• Engage in a culture that promotes urgency and proactive approaches in quality assurance.
• Opportunities for skill enhancement, knowledge sharing, and innovation in AI-driven testing solutions.
• Build a rewarding career with a global leader in financial technology.

Responsibilities

• Lead the design and development of test optimization solutions, ensuring alignment with organizational standards for reliability, scalability, reusability, and long-term maintainability of automated regression suites, with emphasis on data pipelines and database systems.
• Define and oversee the implementation of AI algorithms to analyse complex testing scenarios, optimize test coverage, reduce execution time, and improve overall testing efficiency, including data quality automation across ETL/ELT pipelines.
• Own the end-to-end test strategy, including creation and approval of test plans, test cases, and execution approaches based on functional and technical specifications, with clear analysis and executive-level reporting of results, especially for data platforms such as Databricks, Azure, and AWS.
• Partner with data engineering and analytics teams to implement data quality checks within ETL/ELT pipelines and ensure early detection of issues
• Provide technical leadership, mentorship, and hands-on guidance to QA and automation engineers, fostering skill development and consistent adoption of best practices in data quality assurance.
• Review, approve, and govern team deliverables, including automation scripts, expected results, and defect documentation, ensuring quality, consistency, and adherence to timelines, particularly for data and analytics platforms.
• Drive testing solutions across Web, API/Services, Database, and Data Pipeline layers, contributing to Agile ceremonies, project scoping, estimation, and technical design reviews.
• Lead requirements and design reviews, advocating AI-driven testing strategies, testability improvements, and risk-based quality approaches for data-centric applications.
• Oversee functional, system, regression, and data quality testing activities, leveraging AI-enhanced methodologies to improve effectiveness and predictability of releases.
• Define, track, and analyse QA metrics and KPIs, translating data into actionable insights for continuous process and quality improvement, with a focus on data quality and integrity.
• Perform effort estimation, capacity planning, and quality risk assessment, proactively identifying risks and implementing mitigation strategies to ensure predictable delivery of data solutions.
• Drive automation of ongoing data quality checks and validation processes to ensure continuous monitoring and improvement of data integrity across platforms.

What We’re Looking For

• 8+ years of professional experience in software testing and/or development, with deep expertise in test strategies, automation frameworks, coding, and advanced debugging practices, particularly in data systems and database testing.
• Expert-level proficiency in SQL, including complex query design, performance tuning, and advanced database interactions across platforms such as Databricks, Azure SQL, and AWS RDS.
• Strong to expert Python programming skills, with demonstrated experience in building scalable, maintainable automation and test solutions for data platforms.
• Hands-on experience with AI-driven testing tools and intelligent automation platforms, leveraging AI/ML capabilities to improve test coverage and efficiency in data engineering contexts.
• Proficient in distributed version control systems, particularly Git, with experience in collaborative development workflows.
• Working knowledge of Azure and AWS cloud services, with practical experience in testing data systems, pipelines, and analytics solutions on these platforms.
• Solid practical understanding of modern test frameworks, such as Pytest or Playwright, with the ability to design and maintain robust test suites for data and analytics applications.
• Demonstrated history of implementing automation for ongoing data quality checks and validation within ETL/ELT pipelines.
• Excellent communication and stakeholder management skills, with the ability to clearly articulate complex technical concepts to both technical and non-technical audiences.
• Excellent problem-solving, analytical, and troubleshooting skills. A Bachelor's or higher qualification in Computer Science, Information Systems, or a related field is preferred.

Grade: 11 Shift Time: 2 pm to 11 pm IST Location: Gurugram, India Working Model: twice a week wfo What’s In It For You? Our Mission Advancing Essential Intelligence.

Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Our Values Integrity, Discovery, Partnership 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 can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.

Our Benefits Include

• Health & Wellness: Health care coverage designed for the mind and body.
• Flexible Downtime: Generous time off helps keep you energized for your time on.
• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
• Invest in Your Future: Secure 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 Perks: It’s 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 Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit\-summaries

Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged 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)

Job ID: 318920

Posted On: 2026-02-03

Location: Gurgaon, Haryāna, India