Quality Assurance Automation Engineer
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Job description
First dedicated QA hire responsible for test planning, building and maintaining automated test suites across a TypeScript+Python stack, integrating tests into CI/CD, running regression and performance tests, identifying and verifying bugs, improving observability, and documenting QA processes., We’re looking for a QA Engineer to join our fast-moving engineering team at Stack AI in San Francisco. You’ll play a key role in ensuring the reliability, scalability, and usability of the platform that powers AI-driven workflows for thousands of users.
This is a hands-on role for someone who’s deeply curious about how things work, loves to break them (safely), and wants to help us deliver the most stable, polished version of Stack AI possible. You’ll work closely with engineers, product managers, and designers to test features, build automated QA systems, and shape our quality culture from the ground up.
What You’ll Do
You’ll be the first dedicated QA hire, setting the foundation for automated testing, release validation, and reliability metrics across the entire product surface.
Test Planning & Execution
- Design, write, and execute test plans for new features across web, API, and backend systems.
- Develop and maintain automated test suites (unit, integration, end-to-end) for a modern TypeScript + Python stack.
- Run regression and performance tests before major releases.
- Identify, document, and verify bugs in collaboration with engineers.
Automation & Tooling
- Own and extend our test automation framework (Cypress, Playwright, or similar).
- Integrate testing into CI/CD pipelines to catch regressions early.
- Use tools like Postman or k6 to validate APIs and load behavior.
- Contribute to improving observability (logs, alerts, dashboards) to detect quality issues early.
Collaboration & Process
- Partner with Product and Engineering to understand user workflows and identify high-risk areas.
- Collaborate directly with developers to debug issues and verify fixes.
- Help document and standardize QA processes for future hires.
- Participate in code reviews, release planning, and sprint retrospectives., Lead QA Automation Engineer to architect and maintain scalable test automation frameworks for web, API, and database layers; define automation, regression, performance, and release testing strategies; write and run automated API/UI/integration/regression/performance tests; integrate tests into CI/CD; own QA backlog, mentor engineers, troubleshoot complex defects, and collaborate cross-functionally to ensure release readiness and quality standards. Top Skills: APIsCi/CdDatabase TestingJmeterKatalonLoadrunnerNeloadPlaywrightPostmanPythonRestSeleniumSmartbearTest Automation FrameworksUi TestingWebhooks Sporty Group
Quality Assurance Lead
15 Days Ago In-Office or Remote United States Senior level Senior level Digital Media * Fintech * Gaming * Sports Lead QA strategy and execution across web, mobile, and API. Combine hands-on manual and automated testing, mentor team members, improve automation frameworks and CI pipelines, track issues, align QA processes, and drive quality standards and documentation. Top Skills: Android StudioAppiumAWSChrome DevtoolsCi/CdDockerJenkinsJIRAKubernetes (K8S)MongoDBMySQLPlaywrightPostmanPythonSeleniumTestrailXcode Reinsurance Group of America, Lead QA Automation Engineer, architects and implements scalable test automation for enterprise data products, ensuring data quality across pipelines, data lakes, and platforms. Leads QA initiatives, mentors engineers, develops validation strategies, integrates CI/CD, and establishes KPIs, metrics, and monitoring to ensure reliable, production-ready data solutions. Top Skills: AWSAzureCi/CdCypressData LakeDatabricksETLHiveJSONNoSQLPlaywrightRestSeleniumSnowflakeSparkSQL
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
Requirements
- 2-4 years of experience in QA, Test Automation, or Software Testing.
- Must be proficient in Python
- Strong familiarity with JavaScript/TypeScript (Cypress, Playwright, or Jest) and Python-based testing frameworks (PyTest, unittest).
- Experience testing APIs (REST/GraphQL) and web applications end-to-end.
- Solid understanding of software lifecycles, Git, and CI/CD (GitHub Actions, Render, or similar).
- Strong attention to detail and a love for building reliable, maintainable systems.
- Excellent communication skills and collaborative mindset, especially when working cross-functionally.
Nice to Have
- Experience testing AI/ML systems, data pipelines, or model outputs.
- Familiarity with backend infrastructure (Temporal, PostgreSQL, Redis, Docker, FastAPI).
- Performance or security testing experience.
- Prior startup experience, you’re comfortable with ambiguity and shipping fast.
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