Lead quality engineering and test automation across 20+ microservices and four product teams. Define unified testing strategies, standards, frameworks, quality gates, and reporting. Build and maintain Java-based API, UI, integration, regression, performance, and end-to-end automation using tools including Rest Assured, Playwright, and CI/CD platforms. Validate backend data with SQL and NoSQL, coordinate test environments, and evaluate AI-driven testing, intelligent test selection, self-healing automation, and defect prediction.
Role: SDET lead
Location: Mclean, VA
Experience Required: 9-15 years
Senior Quality Engineering & Test Automation Lead
- We're hiring a hands-on technical lead — not a people manager — to be the testing authority across a mission-critical program comprising 20+ microservices and four product teams.
- You'll unify testing practices, build automation frameworks, and drive quality across the board.
- Four product teams at varying testing maturity levels.
- Agile delivery with CI/CD pipelines and rapid release cycles What You'll Do Test Strategy & Standardization •
- Assess testing gaps across all teams and define a unified test strategy (functional, regression, integration, contract, E2E, performance).
- Establish shared frameworks, conventions, quality gates, and reporting standards.
- Build a reusable, scalable test automation architecture across all microservices Hands-On Automation Engineering.
- Personally design, build, and maintain automated test frameworks — this is a coding role.
- Build API test suites using Rest Assured, Karate, Postman, and Bruno.
- Build UI test suites using Playwright (preferred).
- Develop data-driven/keyword-driven frameworks in Java using OOP and proven design patterns.
- Write complex SQL/NoSQL queries for backend data validation across relational (Oracle, SQL Server, PostgreSQL, MySQL) and non-relational databases (MongoDB) CI/CD & Pipeline Quality.
- Integrate test suites into CI/CD pipelines (Jenkins, GitLab CI).
- Implement shift-left testing, automated regression gates, and parallel execution strategies.
- Coordinate test environment management across teams AI-Driven Testing.
- Evaluate and adopt AI/ML tools for test generation, intelligent test selection, self-healing automation, and defect prediction.
- Use generative AI to accelerate test creation and exploratory testing.
- Build smart test prioritization models using historical data Reporting & Metrics
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