The Manual QA Engineer will analyze product requirements, create test cases, execute testing, identify defects, and contribute to QA process improvements.
About BackOps AI
Role Overview
Responsibilities
Requirements
Nice to Have
This is a full-time hybrid role for a Quality Assurance Engineer located in San Francisco, CA.
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.
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.
- 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
- 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
Top Skills
Asana
Bugzilla
Ci Tools
Java
JIRA
Postman
Python
SQL
Testrail
Trello
Xray
Zephyr
BackOps AI San Francisco, California, USA Office
San Francisco, CA, United States
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