Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
About the RoleWe 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.
Key Responsibilities- 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.
Top Skills
What We Do
Qualys, Inc. (NASDAQ: QLYS) is a pioneer and leading provider of disruptive cloud-based security, compliance and IT solutions with more than 10,000 subscription customers worldwide, including a majority of the Forbes Global 100 and Fortune 100. Qualys helps organizations streamline and automate their security and compliance solutions onto a single platform for greater agility, better business outcomes, and substantial cost savings.
The Qualys Cloud Platform leverages a single agent to continuously deliver critical security intelligence while enabling enterprises to automate the full spectrum of vulnerability detection, compliance, and protection for IT systems, workloads and web applications across on premises, endpoints, servers, public and private clouds, containers, and mobile devices. Founded in 1999 as one of the first SaaS security companies, Qualys has strategic partnerships and seamlessly integrates its vulnerability management capabilities into security offerings from cloud service providers, including Amazon Web Services, the Google Cloud Platform and Microsoft Azure, along with a number of leading managed service providers and global consulting organizations. For more information, please visit http://www.qualys.com
