Assc Dir Mgr-QA Engineering

About the role

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.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. 


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.

About Cape Analytics

Cape Property Intelligence is a Moody's product offering that provides AI-powered, geospatial property intelligence for buildings across the United States, Canada, and Australia.

Cape enables residential and commercial property stakeholders, including insurance carriers and financial institutions, to instantly access valuable and predictive property insights and risk scores. Cape Property Intelligence provides the accuracy and detail that typically requires an on-site property inspection, but with unparalleled immediacy and coverage.

Other roles at Cape Analytics

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Job details

Company

NameCape Analytics
IndustryAI
Team Size3

Funding

Total raised

$75M

Last stage

Series C

Investors

PPivot Investment Partners
FFormation8
Brewer Lane Ventures
SState Farm Ventures
AAquiline Technology Growth

Founders

Ryan Kottenstette

Ryan Kottenstette

Co-Founder & CEO

LinkedIn
SG

Suat Gedikli

Co-Founder & CTO

What happens next.

No applications, no recruiter spam. Just the intro.

01

Confirm the fit

A few questions to make sure this role is the right shape for you. Two minutes.

02

I pitch you to the company

I write the intro, send it to the founder, and handle the back-and-forth.

03

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.