Lead QA Automation Engineer

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!

We are seeking a highly skilled Lead Test Automation Engineer / SDET to drive quality engineering across our product lines. This role requires deep expertise in test automation frameworks, CI/CD, and modern QA practices, with a strong preference for candidates who have worked with Agentic AI in testing or automation workflows. As a technical leader, you will mentor a team of engineers, define quality strategies, and ensure seamless test coverage for functional, scalability, and performance aspects.

• Lead the design, development, and maintenance of test automation frameworks for web, API, and microservices-based applications.
• Drive automation-first testing strategies, ensuring scalable and reliable regression suites.
• Collaborate with product engineering teams to define quality metrics, acceptance criteria, and automation coverage.
• Integrate automation into CI/CD pipelines (e.g., Jenkins, GitHub Actions, GitLab, Azure DevOps).
• Apply Agentic AI concepts to testing – including self-healing tests, autonomous test generation, NLP-driven test case creation, and intelligent defect triage.
• Ensure performance, scalability, and security testing is embedded into delivery.
• Mentor and guide QA engineers and SDETs on automation best practices, coding standards, and test strategies.
• Partner with product and DevOps teams to improve release quality and accelerate delivery cycles.
• Advocate for continuous improvements in testability, observability, and quality culture.

• 8+ years of professional experience in Quality Engineering / Test Automation.
• Strong expertise in Java, Python, or JavaScript for building automation frameworks.
• Hands-on experience with tools such as Selenium, Playwright, Cypress, Rest Assured, Postman, JMeter, or Gatling.
• Deep understanding of OOPs, design patterns, and Page Object Model (POM).
• Strong experience in API automation and microservices testing.
• Proven expertise in CI/CD pipelines, Git, Docker, Kubernetes.
• Familiarity with cloud platforms (AWS/Azure/GCP).
• Exposure to Agentic AI, LLM-based test automation, or AI-assisted QA solutions (preferred).
• Experience with test reporting frameworks (ExtentReports, Allure, etc.).
• Excellent analytical, debugging, and problem-solving skills.
• Strong communication and leadership skills to collaborate across engineering teams.
• Proficiency in Linux/Unix environments (commands, scripting, log analysis, environment setup).
• Strong database skills – SQL queries, schema validation, data integrity checks, and performance tuning.
• Fundamentals of Docker and Kubernetes for containerized and orchestrated test environments.

• Experience in AI-driven test automation (e.g., using RAG, autonomous test agents, NLP-based test generation).
• Knowledge of cybersecurity testing, vulnerability detection, or compliance automation.
• Contribution to open-source QA/automation tools or AI frameworks.
• Strong understanding of DevSecOps and shift-left testing.

• Opportunity to lead test automation initiatives at scale.
• Work on cutting-edge AI-powered testing frameworks.
• Collaborate with top engineering talent in a dynamic, fast-paced environment.

Competitive compensation and growth opportunities.