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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
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
