Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
We're looking for a
Lead QA Automation Engineer to support and enhance the Enterprise TruRisk Platform. In this role, you'll debug customerreported issues, validate fixes, and drive automation across microservices and bigdata components. You'll also mentor the sustenance QA team and help ensure smooth, highquality production releases.
What You'll Do
- Debug and troubleshoot customerreported issues in bigdata and microservices environments
- Perform root cause analysis and deliver fixes to production
- Lead and mentor the Sustenance QA team
- Drive automation across UI, API, and backend workflows
- Build and maintain automation frameworks (Java, Selenium; Playwright is a plus)
- Automate bigdata workflows (Spark, Hadoop, ETL pipelines)
- Set up and maintain bigdata test environments
- Deployment on QA environments with Kubernetes Orchestration
- Support deployment teams with debugging utilities (create scripts and utilities which makes debugging easier)
- Conduct system, performance, and endtoend testing
- Reproduce complex production issues and validate fixes
- Promote an automationfirst approach to reduce manual regression
What You Bring
- 810 years of QA experience, including 46 years in automation and team leadership
- Strong debugging and RCA skills
- Experience building automation frameworks and integrating CI/CD
- Backend automation experience (databases, REST APIs)
- Solid SQL and Linux/Unix skills
- Good command on hadoop and querying big data for debugging issues.
- Nice to Have : kafka and elastic search knowledge
- Experience in the security domain is a plus