Member of Technical Staff, Quality Engineering

• Design and implement AI-powered workflows for test generation, automated regression testing, failure analysis, and intelligent bug triage.
• Build scalable, maintainable automation frameworks covering web applications, APIs, integrations, and critical end-to-end workflows.
• Integrate automated quality checks deeply into development workflows, CI/CD pipelines, and release processes.
• Develop systems that detect regressions, identify likely root causes, classify failures, and reduce the manual effort required to investigate issues.
• Leverage AI agents to identify coverage gaps, generate meaningful test scenarios, and prioritize testing based on product changes and risk.
• Build workflows that support growing product complexity and engineering velocity without requiring proportional increases in QA staffing.
• Create clear visibility into test reliability, regression trends, release readiness, and overall product quality.
• Mentor engineers, establish testing standards, and drive a culture where quality is owned across the engineering organization.

• Staff-level engineering expertise with deep experience in Quality Engineering, Software Development in Test (SDET), or Test Automation Architecture.
• Strong hands-on programming skills and experience building production-grade test automation frameworks.
• Extensive experience automating web applications, APIs, and complex end-to-end workflows.
• Expertise with modern testing frameworks such as Playwright, Cypress, Selenium, pytest, or equivalent technologies.
• Strong understanding of CI/CD, integration testing, contract testing, regression strategies, and test infrastructure.
• Proven experience designing scalable testing systems rather than exclusively writing or maintaining individual test cases.
• AI-native engineering habits: You already use AI coding agents extensively and have practical experience applying AI to test generation, automation, debugging, or quality workflows.
• Strong systems thinking, including the ability to identify bottlenecks and design automation that removes repetitive QA work.
• Experience establishing engineering quality standards and mentoring developers or QA engineers.
• Ability to independently own quality engineering architecture while remaining deeply hands-on.

• You've built AI-powered testing systems or agentic QA workflows used in real development environments.
• You've significantly reduced manual regression testing through intelligent automation.
• You've designed testing infrastructure that supports rapid product iteration with a small engineering team.
• You've worked on testing AI-powered products, including nondeterministic behaviors, model evaluations, or agentic workflows.
• You think about quality as an engineering platform rather than a separate phase of software delivery.
• You can move comfortably between writing automation code, investigating complex failures, and designing company-wide quality systems.

Project and contracting process: the hiring partner. Applications continue on the provider's website.