Assc Dir Mgr-QA Engineering

Moody; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Moody’s Analytics is seeking an Assc Dir Mgr-QA Engineering to lead quality assurance across Asset Management applications. You will shape testing strategy, design scalable automation, and drive AI-aware quality across complex technology ecosystems.

The role involves mentoring QA engineers, collaborating with product and engineering teams, and ensuring robust test coverage in modern delivery environments.

Qualifications

• 8+ years in quality assurance and test automation across full SDLC.
• Ability to design scalable automation frameworks and testing strategies.
• Experience leading QA initiatives for enterprise-scale apps.
• Strong AI testing knowledge and responsible AI practices.

Responsibilities

• Lead QA strategy for Asset Management apps and data solutions.
• Design and maintain robust test automation frameworks.
• Drive automation innovation with multi-threaded execution and containers.
• Lead functional, integration, API, DB, and performance testing.
• Integrate automated testing into CI/CD pipelines and release processes.
• Communicate quality metrics and risks to leadership and stakeholders.

Skills

Quality assurance

Test automation

Software quality

QA leadership

AI risk testing

Education

Bachelor’s/Master’s/PhD in CS or related

Tools

Playwright

Selenium

Cypress

Docker

CI/CD

Job description

Let's begin! Assc Dir Mgr-QA Engineering (15120)

At Moody’s, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

Skills and Competencies

• 8+ years of experience in quality assurance, test automation, and software quality practices across the full software development lifecycle, including leading QA initiatives for enterprise-scale applications.
• Deep expertise in designing and implementing scalable automation frameworks using Playwright, Selenium, Cypress, or similar tools, with strong proficiency in Playwright architecture and best practices.
• Strong programming and automation development skills in Java, TypeScript, and Python, with experience building reusable testing frameworks and solutions.
• Hands-on experience with CI/CD pipelines, Docker, containerized test environments, parallel execution, and modern software delivery practices.
• Extensive knowledge of functional, integration, API, database, and performance testing, with the ability to drive quality strategy and testing excellence across complex technology ecosystems.
• Deep expertise in artificial intelligence, including leveraging AI solutions to drive innovation, improve operational efficiency, and support strategic transformation.
• Demonstrated ability to manage AI-related risks, promote responsible AI practices, and foster ethical AI adoption across teams.

Education

• Bachelor’s, Master’s, or PhD degree in Computer Science, Information Technology, Engineering, or a related field.

Responsibilities

• Lead and advance the quality assurance strategy for Asset Management applications and data solutions, ensuring high standards of reliability, scalability, and performance.
• Design, develop, and maintain robust test automation frameworks that improve test coverage, execution efficiency, and overall product quality.
• Drive innovation in test automation through multi-threaded execution, containerized environments, and modern engineering practices to support scalable testing solutions.
• Lead functional, integration, API, database, and performance testing efforts, ensuring quality throughout the software development lifecycle.
• Integrate automated testing into continuous integration and continuous delivery pipelines, supporting modern deployment approaches and accelerating release confidence.
• Establish and communicate quality metrics, testing outcomes, risks, and recommendations to engineering leaders, product managers, and key stakeholders.
  Partner closely with product, engineering, and business teams throughout Agile development cycles to embed quality into every stage of product delivery.
  Provide technical leadership and mentorship to QA engineers, champion automation best practices, and contribute to continuous improvement initiatives across the organization.

About the Team

• You will join a dynamic, global team within Moody’s Analytics Asset Management business that develops innovative technology solutions for the investment management industry. Our team brings together experts in software engineering, analytics, data, and financial technology to deliver scalable products that help clients make informed investment decisions.
• Working in a collaborative and highly innovative environment, you will contribute to the development of advanced platforms, intelligent automation capabilities, and data-driven solutions that support risk management and investment performance. By partnering with talented colleagues across global locations, you will play a key role in building future-ready technology solutions while advancing quality engineering excellence across our product portfolio.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.