Lead Automation QA Engineer_Vice President _QA Engineering

Lead Automation QA Engineer _ Vice President _ QA Engineering

We're seeking someone to join our Technology Risk Controls Engineering team as Lead Automation QA Engineer with GenAI in Cyber Data Risk & Resilience division to Drive end-to-end test strategy, automation, and quality assurance for services, data pipelines, batches, databases and UI components Champion the use of AI and modern automation tooling to deliver efficient, scalable, and risk-aware testing solutions. Collaborate with technology and business partners and co-own the success of the applications under purview.

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. The TRCE (Technology Risk and Control Engineering) team is a specialized group within Morgan Stanley focused on managing and mitigating technology-related risks. The team plays a crucial role in ensuring the firm's technology infrastructure is secure, resilient, and compliant with regulatory standards

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you'll do in the role: The ideal candidate will act as the  Lead QE (Individual Contributor)  for the TRCE platform, owning end-to-end test strategy, planning, and execution across regular releases and key programs. Own the full  STLC  — entry/exit criteria, environment readiness, release sign-off, and production stability guardrails Design and evolve  automation frameworks  for functional, regression, and integration testing across UI, API, and data layers Build and maintain  UI automation  using Playwright (Selenium acceptable for legacy suites) Build and maintain  API and data test automation  in Python using pytest and Requests/HTTPx; BDD via pytest-bdd or Behave where it adds value Identify and pilot  AI-assisted testing  opportunities (e.g., test-case generation, self-healing locators, visual validation) and scale what shows measurable ROI Define and report  QE KPIs  — coverage, defect leakage, automation %, cycle time — and drive continuous improvement against them Mentor junior QE engineers  on test design, framework usage, and engineering discipline Partner with Dev, SRE, and business stakeholders on shift-left practices, risk-based testing, and release risk assessment Provide  executive-level status, risk, and quality updates  to senior tech and business leadership

What you'll bring to the role: 10–14 years  in Quality Engineering with a strong hands-on  Individual Contributor  track record at a senior / lead level Expert-level Python automation  — pytest, Requests/HTTPx, and Playwright; comfortable designing frameworks from scratch, not just writing tests Proven experience  designing and scaling  functional, regression, and integration automation suites in a CI/CD pipeline Deep grounding in  testing fundamentals  — test strategy, risk-based test planning, STLC, entry/exit criteria, and release sign-off Working knowledge of  Java and SQL  for cross-stack debugging and data validation Proficiency in  Linux  for test environment setup and troubleshooting Demonstrated experience  mentoring junior QE engineers  and raising the technical bar of a team Strong written and verbal communication — comfortable presenting quality posture to senior stakeholders Lead Automation QA Engineer _ Vice President _ QA Engineering

We're seeking someone to join our Technology Risk Controls Engineering team as Lead Automation QA Engineer with GenAI in Cyber Data Risk & Resilience division to Drive end-to-end test strategy, automation, and quality assurance for services, data pipelines, batches, databases and UI components Champion the use of AI and modern automation tooling to deliver efficient, scalable, and risk-aware testing solutions. Collaborate with technology and business partners and co-own the success of the applications under purview.

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. The TRCE (Technology Risk and Control Engineering) team is a specialized group within Morgan Stanley focused on managing and mitigating technology-related risks. The team plays a crucial role in ensuring the firm's technology infrastructure is secure, resilient, and compliant with regulatory standards

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you'll do in the role: The ideal candidate will act as the  Lead QE (Individual Contributor)  for the TRCE platform, owning end-to-end test strategy, planning, and execution across regular releases and key programs.

Own the full  STLC  — entry/exit criteria, environment readiness, release sign-off, and production stability guardrails Design and evolve  automation frameworks  for functional, regression, and integration testing across UI, API, and data layers Build and maintain  UI automation  using Playwright (Selenium acceptable for legacy suites) Build and maintain  API and data test automation  in Python using pytest and Requests/HTTPx; BDD via pytest-bdd or Behave where it adds value Identify and pilot  AI-assisted testing  opportunities (e.g., test-case generation, self-healing locators, visual validation) and scale what shows measurable ROI Define and report  QE KPIs  — coverage, defect leakage, automation %, cycle time — and drive continuous improvement against them Mentor junior QE engineers  on test design, framework usage, and engineering discipline Partner with Dev, SRE, and business stakeholders on shift-left practices, risk-based testing, and release risk assessment Provide  executive-level status, risk, and quality updates  to senior tech and business leadership

What you'll bring to the role:

10–14 years  in Quality Engineering with a strong hands-on  Individual Contributor  track record at a senior / lead level Expert-level Python automation  — pytest, Requests/HTTPx, and Playwright; comfortable designing frameworks from scratch, not just writing tests Proven experience  designing and scaling  functional, regression, and integration automation suites in a CI/CD pipeline Deep grounding in  testing fundamentals  — test strategy, risk-based test planning, STLC, entry/exit criteria, and release sign-off Working knowledge of  Java and SQL  for cross-stack debugging and data validation Proficiency in  Linux  for test environment setup and troubleshooting Demonstrated experience  mentoring junior QE engineers  and raising the technical bar of a team Strong written and verbal communication — comfortable presenting quality posture to senior stakeholders

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years.  Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background.  Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo .