Design and execute manual and automated tests for web applications, build and maintain test frameworks and CI pipelines, identify and track bugs, validate fixes, collaborate with product and engineering, participate in agile ceremonies, and continuously improve QA processes and tooling to ensure high-quality releases.
We are looking for a detail-oriented and driven QA Engineer to ensure the quality, reliability, and performance of our software products. You will work closely with engineering, product, and design teams to validate new features, prevent regressions, and continuously improve our testing practices. This role is critical to delivering a high-quality user experience at scale.
Responsibilities- Design, develop, and execute test plans, test cases, and test scripts for web applications
- Perform manual and automated testing across functional, regression, integration, and end-to-end scenarios
- Collaborate with product managers and engineers to understand requirements and acceptance criteria
- Identify, document, and track bugs with clear reproduction steps and severity levels
- Validate fixes and ensure issues are resolved without introducing regressions
- Build and maintain automated test frameworks and CI/CD test pipelines (where applicable)
- Participate in sprint planning, backlog grooming, and release readiness reviews
- Advocate for quality best practices across the development lifecycle
- Continuously improve QA processes, tooling, and coverage
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
- 5+ years of experience in software quality assurance or testing
- Strong understanding of software development lifecycles (Agile/Scrum)
- Able to adapt to testing depth based on ticket type (feature vs bug), impact, and release context rather than applying a one-size-fits-all approach.
- Experience with manual testing techniques and test case design
- Confident using browser DevTools (network, console, application/storage) to debug UI and API issues and collaborate effectively with engineers.
- Familiarity with bug tracking tools (e.g., Jira, Linear, GitHub Issues)
- Hands-on experience with JIRA workflows, BDD tools like Cucumber, CI pipelines, and comfort validating automated test results alongside manual testing.
- Ability to clearly communicate issues to technical and non-technical stakeholders
- Comfortable owning validation decisions, initiating QA–Dev syncs when needed, and partnering with engineers to improve product quality without adding unnecessary process.
- Strong attention to detail and a proactive mindset
- Experience with test automation frameworks (e.g., Playwright, Cypress, Selenium)
- Programming or scripting experience (JavaScript, Python, or similar)
- Experience testing APIs, backend services, or distributed systems
- Familiarity with CI/CD tools (GitHub Actions, GitLab CI, Jenkins)
- Experience testing cloud-based or data-intensive applications
- Knowledge of performance, load, or security testing is a plus
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
