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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.
Job Responsibility:
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
Requirements:
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
Nice to have:
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 maintainer
Experience with Infrastructure as Code tools (Terraform, AWS) for test environment provisioning
What we offer:
Flexible Vacation Policy
Medical, Dental, and Vision Insurance
Short Term and Long Term Disability
Paid Parental Leave
Monthly Wellness Stipend
Employee Assistance Program and Mental Health Resources
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