Profile Description

We’re seeking someone to join our Enterprise Technology team as a SDET / Senior Quality Engineer, in Workforce Technology & Services who is exceptionally strong in coding and test automation architecture. This role is ideal for someone who can design and scale automation frameworks, coach and unblock other Quality Engineers, and leverage Agentic AI to rapidly create and maintain high-quality test suites using Python and/or Playwright. You will act as a technical anchor for Quality Engineering-owning framework direction, improving engineering maturity, and ensuring automation is reliable, maintainable, and CI/CD-ready.

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.

This is Director position that devises test strategies, conducts and/or coordinates tests, and identifies defects to maintain high standards of performance and reliability.

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:

• Automation Framework Ownership & Engineering Excellence
• Design, build, and evolve scalable automation frameworks (UI/API/Integration), ensuring high maintainability and extensibility.
• Establish framework standards: project structure, coding conventions, reusable utilities, reporting, logging, and test data strategy.
• Implement advanced patterns (e.g., Page Object Model / Screenplay, fixtures, dependency injection where relevant).
• Ensure automation is stable and measurable: flakiness reduction, deterministic tests, retry strategies, and environment readiness checks.
• Technical Leadership & Mentorship
• Serve as the go-to technical mentor for Quality Engineers-review code, pair-program, and provide best-practice guidance.
• Identify and resolve technical roadblocks faced by the team (tooling, environment, CI failures, test architecture issues).
• Drive a shift-left quality mindset: quality gates, early feedback loops, and continuous improvement.
• Leverage Agentic AI to accelerate the creation of: Automated test suites from specs/user stories, Test data generation strategies, Regression pack optimization, Self-healing/diagnostics for failures where applicable.
• Create prompt patterns and guardrails for consistent AI-assisted test generation (e.g., prompts that generate Playwright tests aligned to standards).
• Validate AI-generated artifacts for correctness, coverage, security, and maintainability.
• Test Strategy, Coverage & Quality Metrics
• Define automation strategy across layers: unit, API, UI, contract, and E2E.
• Partner with product and engineering to define test coverage goals, testability improvements, and quality KPIs.
• Improve observability: automated reporting dashboards, defect leakage tracking, and test run analytics.
• CI/CD Integration & DevOps Collaboration
• Integrate test automation into CI/CD pipelines
• Build quality gates: smoke/regression triggers, parallel execution, and environment promotions.

What you’ll bring to the role:

• At least 6+ years' relevant experience would generally be expected to find the skills required for this role.
• 6+years of experience in Quality Engineering / SDET / Test Automation roles.
• Strong coding skills with Python (required) and /or TypeScript /JavaScript (for Playwright).
• Deep hands-on experience with Playwright and/or Selenium/Cypress (Playwright strongly preferred).
• Experience building automation frameworks from scratch or significantly enhancing an existing one.
• Strong understanding of test design principles, test pyramid, and automation best practices.
• Proven ability to mentor engineers, conduct code reviews, and drive engineering standards.
• Experience with API testing (REST/GraphQL), service virtualization/mocking, and contract testing concepts.
• Strong CI/CD experience and familiarity with source control workflows (Git, PR reviews, branching strategy).
• Computer Science knowledge (data structures & algorithms)
• RDBMS Knowledge (Sybase/ SQL Server/DB2/PostgreSQL)
• Strong understanding of SDLC
• Experience with GIT
• Experience with Jira
• Experience with CI/CD
• Experience with manual testing
• Good to Have Skills: Hands on coding using Agentic AI and Spec Driven Development using Agentic AI

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.