Role overview

Staff Software Engineer, QE

Requirements and responsibilities

Readable role content extracted into sections for faster review.

You will:

  • Lead the development of test automation frameworks across UI, API, and GraphQL layers, focusing on reliability, maintainability, and speed
  • Design and integrate AI evaluation frameworks to assess accuracy, consistency, and reliability of LLM-powered features
  • Leverage AI-assisted development tools such as Cursor and Claude to accelerate test creation, debugging, and code generation
  • Lead technical implementation of performance testing and monitoring solutions
  • Develop custom reporting and analytics tools to provide insights into test coverage, flaky test rates, and quality metrics
  • Drive adoption of newer testing technologies and approaches
  • Optimize test execution pipelines for faster feedback in CI/CD environments
  • Partner with development teams to implement shift-left testing practices and embed quality ownership within teams
  • Lead root cause analysis for critical issues and drive systematic improvements to prevent recurrence
  • Participate in code reviews to ensure testability and quality considerations are addressed early
  • Provide technical mentorship to QE engineers on automation best practices, framework usage, and AI tooling

Desired Skills:

  • 8+ years of hands-on experience in software quality engineering roles with at least 2 years operating at a Staff/Lead level.
  • Deep proficiency in testing TypeScript/JavaScript and modern frontend ecosystems (React, Webpack, or similar).
  • Expert-level experience with Playwright or comparable browser automation frameworks (Cypress, Selenium WebDriver) for end-to-end testing.
  • Strong experience with unit and component testing frameworks such as Vitest, Jest, or React Testing Library.
  • Proven track record of designing and building test automation frameworks from scratch or significantly evolving existing ones at scale.
  • Solid understanding of CI/CD systems (GitHub Actions, Jenkins, Buildkite, Gitlab or similar) and how to integrate and optimize test suites within them.
  • Experience with GraphQL APIs - Writing integration tests, mocking schemas, and validating query/mutation contracts.
  • Familiarity with performance and load testing tools (k6, Lighthouse, Artillery).
  • Experience with visual regression testing (Percy, Chromatic, Playwright visual comparisons).
  • Hands-on experience with Allure or similar test reporting/analytics platforms.
  • Understanding of AI/ML-powered products and the unique testing challenges they present (non-deterministic outputs, data quality, model evaluation).
  • Experience in SaaS, fintech, or market intelligence domains.
  • Track record of contributing to developer experience improvements like test tooling plugins, custom ESLint rules for test quality, documentation-as-code practices.
  • Familiarity with Docker, Kubernetes, and cloud infrastructure (AWS/GCP).
  • Familiarity with AI/LLM evaluation frameworks
  • Hands-on experience with AI-assisted development tools such as Cursor, GitHub Copilot, or Claude for accelerating test authoring, code review, and debugging.
  • Experience building or configuring MCP (Model Context Protocol) servers

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Browse stack
FocusTesting AutomationRole area
Seniority signalSeniorCandidate level
StackAWS, CI/CD, DockerPrimary skills
Location1 accepted countryEligibility

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