Staff Software Engineer, QE

This is a fully remote position, open to applicants in India.

📋 Description

• Oversee the creation of test automation frameworks spanning UI, API, and GraphQL layers, with an emphasis on reliability, maintainability, and speed.

• Design and implement AI evaluation frameworks to evaluate the accuracy, consistency, and reliability of features powered by LLM.

• Utilize AI-driven development tools like Cursor and Claude to expedite the processes of test creation, debugging, and code generation.

• Direct the technical implementation of performance testing and monitoring solutions.

• Create custom reporting and analytics tools to deliver insights regarding test coverage, flaky test rates, and quality metrics.

• Promote the adoption of advanced testing technologies and methodologies.

• Enhance test execution pipelines for quicker feedback in CI/CD environments.

• Collaborate with development teams to incorporate shift-left testing practices and instill quality ownership within teams.

• Lead root cause analyses for critical issues and advocate for systematic improvements to avert future occurrences.

• Engage in code reviews to ensure that testability and quality considerations are addressed at an early stage.

• Offer technical guidance to QE engineers on best practices for automation, framework utilization, and AI tools.

⛳️ Requirements

• Minimum of 8 years of hands-on experience in software quality engineering roles, including at least 2 years at a Staff/Lead level.

• In-depth expertise in testing TypeScript/JavaScript and contemporary frontend ecosystems (such as React, Webpack, or similar).

• Expert-level knowledge of Playwright or similar browser automation frameworks (Cypress, Selenium WebDriver) for end-to-end testing.

• Strong background in unit and component testing frameworks including Vitest, Jest, or React Testing Library.

• Demonstrated success in designing and building test automation frameworks from the ground up or significantly enhancing existing frameworks at scale.

• Comprehensive 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, including writing integration tests, mocking schemas, and verifying query/mutation contracts.

• Familiarity with performance and load testing tools (k6, Lighthouse, Artillery).

• Experience in visual regression testing (Percy, Chromatic, Playwright visual comparisons).

• Practical experience with Allure or similar test reporting/analytics platforms.

• Understanding of AI/ML-powered products and the unique testing challenges they entail (such as non-deterministic outputs, data quality, and model evaluation).

• Background in SaaS, fintech, or market intelligence sectors.

• Proven track record in enhancing developer experience through initiatives like test tooling plugins, custom ESLint rules for test quality, and documentation-as-code practices.

• Familiarity with Docker, Kubernetes, and cloud infrastructure (AWS/GCP).

• Understanding of AI/LLM evaluation frameworks.

• Hands-on experience with AI-assisted development tools like Cursor, GitHub Copilot, or Claude to accelerate test authoring, code reviews, and debugging.

• Experience in building or configuring MCP (Model Context Protocol) servers.

🏝️ Benefits

• AlphaSense is an equal-opportunity employer.

• Reasonable accommodations for qualified employees with protected disabilities.