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QA Automation Engineer

Anaconda, Inc.

seniorpermanentqabackend United States 2 days ago via LinkedIn

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Tags

QA AutomationPlaywrightPythonTypeScriptCI/CDGitHub ActionsTest Automation FrameworksWhite-box TestingPerformance TestingLocust

About the role

QA Automation Engineer (Anaconda AI Platform)

Join Anaconda’s Quality Engineering team to ensure product reliability across Web, CLI, and API platforms.

Responsibilities

  • Design and create automated test scripts for Web/CLI/API using Playwright, Python, and TypeScript
  • Build and maintain CI/CD pipelines (e.g., GitHub Actions) to enable fast releases and prevent regressions
  • Perform white-box testing: identify, debug, fix defects across front-end and back-end codebases, and conduct impact analysis
  • Develop performance/load testing strategies using tools like Locust to validate scalability
  • Conduct code reviews and help set/maintain PR standards for automation best practices
  • Apply testing best practices at the unit and integration levels
  • Collaborate with development, product, and QA teams to standardize testing and improve automation efficiency

Requirements

  • 5+ years creating automated test scripts for Web, CLI, and API applications
  • Strong proficiency with Playwright and Python
  • Experience building/maintaining CI/CD pipelines using GitHub Actions (or similar: Jenkins/GitLab/AWS CodePipeline)
  • Ability to contribute bug fixes to both FE and BE repositories
  • Strong software design skills for maintainable, production-quality code
  • Experience with Linux command line and scripting for test automation/build processes

Nice to Have

  • Advanced Playwright/Python skills and ability to design scalable automation solutions
  • Experience with code review workflows and contributing to production code
  • Experience building AI agents and using AI tools (e.g., Cursor)
  • Load testing experience with Locust or JMeter

About Anaconda, Inc.

Anaconda, Inc. advances AI using open source at scale. Its Anaconda AI Platform helps organizations build, secure, and deploy AI through centralized sourcing and deployment, serving millions of users and widely adopted in enterprise environments.

Scraped 4/4/2026

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