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QA Automation Engineer

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Theory Ventures
Full Time position
Listed on 2026-07-15
Job specializations:
  • Software Development
    Software Testing, AI QA / Validation Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

About Back Ops AI:
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.

This is a full‑time hybrid role for a Quality Assurance Engineer located in San Francisco, CA.

What You'll Do
  • 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.
What We're Looking For
  • 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, Git Hub Actions, Git Lab CI).
  • Experience with cloud platforms such as AWS.
  • Experience with version control systems (Git).
  • Experience with test management tools (Test Rail, 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.
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