QA Automation Infrastructure Engineer

About the Role Cyera is hiring a QA Automation Infrastructure Engineer to help build and maintain Cyera’s core automation infrastructure. You’ll develop shared frameworks, tools, libraries, CI/CD integrations, reporting capabilities, and self-service solutions that enable QA engineers and developers to create, run, debug, monitor, and maintain automated tests at scale. This is a hands-on role focused on building scalable automation infrastructure that supports quality across R&D. What You'll Do

• Design, implement, and maintain shared QA automation infrastructure.
• Build frameworks, libraries, utilities, and internal tools for automation at scale.
• Enable self-service testing for developers and QA engineers.
• Support component, integration, system, API, backend, frontend, and E2E testing.
• Integrate automated tests into CI/CD pipelines.
• Improve test execution reliability, scalability, performance, and debugging experience.
• Build reporting, dashboards, and monitoring capabilities for automation KPIs and quality trends.
• Troubleshoot automation framework issues, flaky tests, infrastructure failures, and CI/CD pipeline problems.
• Collaborate closely with QA Architects, QA Automation Developers, developers, DevOps, and QA leadership.
• Contribute to documentation, best practices, templates, and training materials. What We're Looking For
• 5+ years of hands-on development experience in TypeScript and/or Python.
• Strong software engineering fundamentals, deep language understanding, clean code practices, and the ability to design maintainable, scalable solutions.
• Proven experience building automation infrastructure at scale, including frameworks, shared libraries, internal tools, and self-service platforms used by dozens to hundreds of engineers and QA users across multiple teams and products.
• Experience with automation tools and frameworks such as Playwright, Pytest, Cypress, Selenium, or similar technologies.
• Experience integrating automated tests into CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI, or similar tools.
• Strong understanding of test execution, debugging, reporting, failure analysis, automation reliability, and flaky test investigation.
• Familiarity with Docker, Kubernetes, cloud environments, or scalable test execution environments.
• Strong troubleshooting skills and ability to investigate complex automation, infrastructure, and pipeline issues.
• Passionate about AI and actively explores new ways to apply AI tools to improve productivity, quality, debugging, and QA efficiency. Nice to Have
• Experience with test optimization, stabilization, parallelization, and failures tracking.
• Experience building dashboards, automation KPIs, reporting tools, or quality visibility systems.
• Experience with microservices, Kafka, distributed systems, or event-driven architectures.
• Experience in SaaS, cybersecurity, data, cloud-native, or enterprise software environments.