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Jobs(29,813)/Staff Engineer Role(795)/AlphaSense (100) - Staff Software Engineer, QE
AlphaSense

AlphaSense - Staff Software Engineer, QE

Remote - India+ Equity1w ago
RemoteStaffAPACFintechPaymentsStaff EngineerSoftware EngineerTypeScriptJavaScriptReactWebpackSeleniumCypressPlaywrightReact Testing LibraryVitestReportingGitLabJestJenkinsGraphQLk6ArtilleryChromaticDockerAWSKubernetesGCPData QualityClaudeCursorDocumentation

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 • AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. • In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works. • Recruiting Scams and Fraud • We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note: • AlphaSense never asks candidates to pay for job applications, equipment, or training. • All official communications will come from an @alpha-sense.com email address. • If you’re unsure about a job posting or recruiter, verify it on our Careers page. • If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

Responsibilities

• 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

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