QA Automation Engineer

Anaconda, Inc. is focused on advancing AI with open source at scale, serving a wide range of clients including 95% of the Fortune 500. They are seeking a QA Automation Engineer to ensure product reliability across their AI platform by designing test strategies, implementing automation frameworks, and collaborating with development teams to enhance software quality.

Responsibilities:

• 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
• 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