QA Automation Engineer

About Anaconda

Be at the center of AI

Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of the Fortune 500 including Panasonic, AmTrust, Booz Allen Hamilton and over 50 million users rely on the value The Anaconda AI Platform delivers through a centralized approach to sourcing, securing, building, and deploying AI. With 21 billion downloads and growing, Anaconda has established itself as the gold standard for Python, data science, and AI and the enterprise-ready solution of choice for AI innovation. Anaconda is backed by world-class investors including Insight Partners. Learn more at https://www.anaconda.com.

Summary:

We're looking for a talented QA Automation Engineer to join our Anaconda AI platform team. Our quality engineering team ensures product reliability across Web, CLI, and API platforms - helping developers and data scientists build with confidence. We design comprehensive test strategies, implement automation frameworks, and drive quality improvements that accelerate our mission to democratize data science and AI for everyone.

As part of the quality engineering team, you'll own end-to-end test automation for critical product features. You'll design scalable testing frameworks, implement CI/CD automation, contribute bug fixes and collaborate with development teams to catch and fix issues early and ship reliable software faster. This role combines test engineering expertise with hands-on development work, debugging and fixing defects across front-end and back-end codebases.

What You'll Do:

• Design and create test automation scripts across Web, CLI, and API platforms using Playwright, Python and TypeScript to ensure product stability and performance
• Build and maintain CI/CD pipelines using GitHub Actions to enable fast, reliable releases and catch regressions before they reach production
• Drive white box testing by identifying, debugging, and fixing defects across front-end and back-end codebases and conducting impact analysis
• Develop performance and load testing strategies using tools like Locust to validate system scalability under real-world conditions
• Conduct thorough code reviews and establish PR standards that uphold automation best practices and maintain framework integrity
• Implement testing best practices at the unit and integration level as well
• Collaborate across development, product, and QA teams to standardize testing processes and drive automation efficiency improvements

Your impact will be measured through:

• Improvement in test automation coverage and reduction in manual testing bottlenecks across platforms
• Reliability and stability of CI/CD pipelines and automated test execution
• Quality of test frameworks and adherence to automation best practices
• Defect detection effectiveness,reducing backlog bugs through fixes and reduction in production issues
• Impact on team velocity through mentorship and process improvements

What you need:

• 5+ years of experience creating automated test scripts across Web, CLI, and API applications
• Proficiency with test automation tools, particularly Playwright and Python
• Experience building and maintaining CI/CD pipelines using GitHub Actions or similar tools (Jenkins, GitLab, AWS CodePipelines)
• Proven ability to contribute bug fixes to codebases in both FE and BE repositories
• Strong understanding of software design patterns and ability to write maintainable, production quality code
• Experience with Linux command line and scripting languages for test automation and build processes
  
  

What will make you stand out:

• Strong proficiency with Playwright, Python and designing scalable automation solutions
• Experience with code review processes and contributing to production codebase along with developers 
• Experience in creating AI agents and using AI tools like cursor
• Experience with load testing tools like Locust or JMeter for performance validation
• Contributions to open-source projects, especially as a maintai