Design, build, and maintain scalable UI, API, and end-to-end test automation frameworks. Create and run automated regression, functional, performance, and API tests. Integrate tests into CI/CD, analyze failures, collaborate with developers to improve testability, and drive quality improvements across the SDLC.
About BackOps AI
What You'll Do
What We're Looking For
This is a full-time hybrid role for a Quality Assurance Engineer located in San Francisco, CA.
We are looking for a Senior QA Automation Engineer to join our growing QA team. In this role, you will be responsible for building, and maintaining scalable test automation frameworks that cover UI, API, and end-to-end workflows. You will work closely with developers, designers, and fellow QA engineers to uphold high standards of software quality throughout the development lifecycle.
The ideal candidate has strong experience with test automation frameworks, API testing, and modern CI/CD environments, along with the ability to drive improvements in testing strategy and tooling. Experience exploring AI-assisted testing or intelligent test automation approaches is considered a plus.
- Develop, and maintain robust test automation frameworks for UI, API, and end-to-end testing.
- Create and execute automated regression, functional, performance, and API tests
- Integrate automated tests into CI/CD pipelines for continuous testing.
- Collaborate with development teams to ensure testability of features and early defect detection.
- Analyze test results, troubleshoot failures, and report issues to development teams.
- Enhance test coverage by identifying critical scenarios and edge cases.
- Participate in code reviews, architecture discussions, and quality improvements.
- Stay up to date with emerging automation tools, frameworks, and testing methodologies.
- Proficiency in test automation frameworks (e.g., Selenium, Playwright).
- Strong experience in programming languages such as Python or Java.
- Hands-on experience with API testing (Postman, REST Assured, or similar).
- Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI).
- Experience with cloud platforms such as AWS
- Experience with version control systems (Git).
- Experience with test management tools (TestRail, Zephyr).
- Strong understanding of software testing principles, SDLC, and agile methodologies.
- Knowledge of performance and load testing tools (JMeter, Gatling) is a plus.
- Strong analytical and problem-solving skills with attention to detail.
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience
BackOps AI San Francisco, California, USA Office
San Francisco, CA, United States
BackOps AI San Ramon, California, USA Office
San Ramon, United States
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