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BackOps-AI • San Francisco, California, United States
Role & seniority
Stack/tools
Manual testing, SQL for data validation
Postman for API testing
Test management: TestRail, Zephyr, Xray
Bug tracking: Jira, Trello, Asana, Bugzilla
Basic CI concepts; Agile/Scrum familiarity (nice-to-have)
Top 3 responsibilities
Analyze product requirements and create clear test cases and test plans
Execute functional, regression, smoke, and exploratory testing; identify and document defects; verify fixes
Support release sign-off with testing results and quality recommendations; contribute to QA process improvements
Must-have skills
3+ years hands-on manual software testing
Strong QA principles, methodologies, and best practices
SQL data validation; API testing with Postman
Experience with test management and bug-tracking tools
Keen attention to detail; proactive risk identification
Bachelor’s degree in CS or equivalent practical experience
Nice-to-haves
Experience testing AI agents or AI-driven systems
Basic knowledge of Python or Java
Familiarity with test automation concepts and workflows
Experience in Agile/Scrum environments
Location & work type
About BackOps AI BackOps 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.
Role Overview We are looking for a detail-oriented Manual QA Engineer to join our team and help ensure the quality and reliability of our products. You will work closely with cross-functional teams, including Engineering, Product, and Design, to improve overall product quality and deliver a seamless, reliable user experience. The role emphasizes strong manual testing expertise and close collaboration with automation engineers to optimize test coverage.
Responsibilities Analyze product requirements and create clear, well-structured test cases and test plans Validate new features and ensure readiness for production releases Execute functional, regression, smoke, and exploratory testing Identify, document, and track defects, and verify fixes Support release sign-off by providing clear testing results and quality recommendations Contribute to the continuous improvement of QA processes, best practices, and testing standards
Requirements 3+ years of hands-on experience in manual software testing Strong understanding of software testing principles, methodologies, and QA best practices Confident knowledge of SQL for data validation and analysis Hands-on experience with Postman for API testing Basic understanding of CI tools and modern software development practices Experience with test management tools (e.g., TestRail, Zephyr, Xray) Familiarity with bug tracking systems (e.g., Jira, Trello, Asana, Bugzilla) Strong attention to detail and analytical thinking Proactive approach to identifying risks and improving product quality Bachelor’s degree in Computer Science or a related field, or equivalent practical experience
Nice to Have Experience testing AI agents or AI-driven systems Basic knowledge of Python or Java Familiarity with test automation concepts and workflows Experience working in Agile/Scrum environments
This is a full-time hybrid role for a Quality Assurance Engineer located in San Francisco, CA.