Staff Software Engineer, QE
AlphaSense3 months ago
Remote, IndiaStaff+
Responsibilities
- Lead development of reliable, maintainable, and fast test automation frameworks across UI, API, and GraphQL layers.
- Design and integrate AI evaluation frameworks for LLM-powered features.
- Use AI-assisted development tools to accelerate test creation, debugging, and code generation.
- Lead performance testing and monitoring implementation.
- Develop reporting and analytics tools for test coverage, flaky tests, and quality metrics.
- Optimize test execution pipelines for faster CI/CD feedback and drive adoption of modern testing approaches.
- Partner with development teams on shift-left testing and organization-wide quality ownership.
- Lead root-cause analysis for critical issues and drive systematic prevention improvements.
- Participate in code reviews to address testability and quality early.
- Mentor QE engineers on automation practices, framework usage, and AI tooling.
Requirements
- 8+ years of hands-on software quality engineering experience, including at least 2 years operating at a Staff or Lead level.
- Deep proficiency testing TypeScript/JavaScript and modern frontend ecosystems such as React and Webpack.
- Expert experience with Playwright or comparable browser automation frameworks including Cypress or Selenium WebDriver.
- Strong experience with unit and component testing frameworks such as Vitest, Jest, or React Testing Library.
- Experience designing and building test automation frameworks at scale.
- Experience integrating and optimizing test suites in CI/CD systems such as GitHub Actions, Jenkins, Buildkite, or GitLab.
- Experience testing GraphQL APIs, including integration tests, schema mocking, and query or mutation contract validation.
- Familiarity with performance and load testing tools such as k6, Lighthouse, or Artillery.
- Experience with visual regression testing using tools such as Percy, Chromatic, or Playwright visual comparisons.
- Hands-on experience with Allure or similar test reporting and analytics platforms.
- Understanding of AI/ML-powered products, non-deterministic outputs, data quality, and model evaluation challenges.
- Experience in SaaS, fintech, or market intelligence domains is desired.
- Experience improving developer experience through test tooling plugins, custom ESLint rules, or documentation-as-code practices.
- Familiarity with Docker, Kubernetes, and AWS or GCP cloud infrastructure.
- Familiarity with AI/LLM evaluation frameworks and AI-assisted development tools such as Cursor, GitHub Copilot, or Claude.
- Experience building or configuring MCP servers.
Tech Stack
AWSBuildkiteCypressDockerGitHub ActionsGoogle Cloud PlatformGraphQLJavaScriptJenkinsJestKubernetesReactTypeScriptWebpack
Categories
About AlphaSense
AlphaSense builds an AI-powered market intelligence and search platform used by investment, corporate strategy, and research teams to find insights across public and private content (equity research, filings, transcripts, expert calls, news, and internal documents). It sells enterprise subscriptions to its SaaS platform and content sets. Founded in 2011 and headquartered in New York, the company is privately held and acquired Tegus in 2024; its customers include a majority of the S&P 500.