QA Automation Engineer

Role Description

Back Ops AI is transforming supply chain operations with agentic AI solutions that automate complex workflows, freeing operations teams to focus on what matters most. Headquartered in the San Francisco Bay Area with flexible remote‑friendly options, we foster a culture of innovation, ownership, and measurable impact.

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, 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.