Senior Fullstack QA Engineer — AI-Powered Testing Leader

airbnb, Inc.; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Airbnb, Inc. in San Francisco is seeking a Senior Fullstack Engineer, Quality Engineering to design and implement robust test strategies across web and services. You will lead automation initiatives, build scalable test suites, and collaborate with product engineering to ensure high-quality releases.

You will work across technologies, apply AI/LLMs to testing, and drive improvements in testability and reliability while operating in a fast-paced, cross-functional environment.

Qualifications

• 5+ years of industry experience in software engineering and testing.
• Strong hands-on experience with automation frameworks (e.g., Playwright, Cypress).
• Experience integrating automated tests into CI/CD pipelines and version control systems.

Responsibilities

• Lead the test automation strategy across the testing pyramid (unit, service, integration, end-to-end).
• Build, maintain, and effectively utilize automated tests with close collaboration to ensure robust coverage.
• Improve existing automation frameworks to support new features and optimize quality.
• Collaborate with CI/CD teams to integrate automated testing into pipelines.
• Troubleshoot issues, isolate bugs, and verify fixes during testing and post-release.
• Collaborate across product management, development, and QE teams in a fast-paced environment.

Skills

Test automation

CI/CD

Playwright

Cypress

Git

Communication

Problem solving

AI in testing

Education

Bachelor's degree in CS/Engineering

Tools

Playwright

Cypress

Buildkite

Spinnaker

Jenkins

Git

Job description

Airbnb, Inc. in San Francisco is seeking a Senior Fullstack Engineer, Quality Engineering to design and implement robust test strategies across web and services. You will lead automation initiatives, build scalable test suites, and collaborate with product engineering to ensure high-quality releases.

You will work across technologies, apply AI/LLMs to testing, and drive improvements in testability and reliability while operating in a fast-paced, cross-functional environment.