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Staff Software Engineer, QE
Location
India
Posted
12 days ago
Salary
0
Seniority
Lead
Job Description
Staff Software Engineer, QE
AlphaSense
• 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
Job Requirements
- 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
Benefits
- Health insurance
- retirement plans
- paid time off
- flexible work arrangements
- professional development
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