Staff Software Engineer, QE

About the Role: As a Staff Quality Engineer on the Content Portfolio team, you will own and drive test strategy, build automation frameworks, and embed a culture of quality ownership across the engineering organization. Your deep expertise in automation, cloud services, Kubernetes, and modern programming languages will directly shape how we test, release, and deliver reliable software at scale. You will partner closely with developers, product managers, and platform teams to define test requirements, architect quality infrastructure, and ensure AlphaSense ships with confidence at velocity. 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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