Senior Software QA Technical Leader, Splunk

• 5+ years of demonstrated ability in software quality engineering, with a focus on automation
• Proficiency in Robot Framework, Selenium, Pytest, or similar tools
• Hands-on experience with scripting/programming languages such as Python, Shell, or JavaScript
• Strong understanding of test architecture, automation patterns, and layered testing approaches
• Experience with CI/CD systems like Jenkins, GitHub Actions, or GitLab CI/CD
• Familiarity with testing in cloud environments (AWS, GCP, Azure) and containerized infrastructure (Docker, Kubernetes)
• Strong analytical and problem-solving skills, with the ability to work across functional teams
• Excellent communication skills and a collaborative mindset

Desirable

• We are looking for a skilled and driven Senior QA Engineer to help elevate the quality and reliability of our security platform services
• In this role, you will contribute to build robust automated testing frameworks, ensure test coverage across critical workflows, and partner with engineering and DevOps teams to embed quality across the software development lifecycle
• You will bring expertise in automation tools, architecture-level thinking, and a strong focus on CI/CD integration and system reliability
• Design, develop, and maintain scalable automated test suites for cloud-native and on-premises environments
• Implement and extend test frameworks such as Robot Framework, Pytest, or similar frameworks to cover end-to-end, integration, and regression testing needs
• Contribute to the architecture and evolution of the test infrastructure, ensuring reusability and maintainability
• Integrate automated tests into CI/CD pipelines and drive improvements in test execution speed and reliability
• Collaborate with developers, SREs, and product managers to define quality standards, acceptance criteria, and test plans
• Troubleshoot, debug, and isolate failures in complex distributed systems
• Participate in code and test reviews, offering feedback to ensure quality-first engineering practices
• Maintain test data, environment configurations, and test mocks/stubs for stable test execution
• Promote observability and test analytics (e.g., test logs, test coverage reports, flaky test tracking)