QA Automation Engineer

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.

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.

• 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

• 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

• 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

• You'll thrive in a high-performance environment where results are recognized and rewarded
• Your work directly contributes to shaping the future of data science, machine learning, and AI in the enterprise.
• You'll work alongside a collaborative team that values diverse, thoughtful discussion, clarity and candor.
• You'll be supported by a culture that puts employees first - with flexible hours, a fully remote setup, and a genuine commitment to your wellbeing and growth.

The application deadline for this role is 02/16/2026; applicants will be reviewed on an ongoing basis until the role is filled.

The base salary range for this role is $115,500 - $170,000 for US-based team members outside of New York and San Francisco areas, along with annual bonus potential, equity participation, and benefits.

Our salary ranges are determined by role, level, and location. Within the range, individual compensation is determined by various factors, including work location, job-related skills, experience, and relevant education or training. Your recruiter will provide more specific details on the salary range for your preferred location during the hiring process.

In addition to base salary, we offer a comprehensive benefits package that includes:

• 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

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Anaconda, Inc. (“We”, “Us”) are committed to protecting and respecting your privacy. This Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to Us, will be processed by Us in connection with Our recruitment processes.

By clicking “Submit Application”, you acknowledge you have read our Privacy Policy and that Anaconda can retain your application data for up to 1-year, unless otherwise stated.  For the purpose of the General Data Protection Regulation (“GDPR”) ”) and the version of the GDPR retained in UK law (the “UK GDPR”) the Data Controller is Vanessa Macilwaine.

Anaconda is an EEO/AA employer M/F/V/D.