AlphaSense

Staff Software Engineer, QE

Vaga remota de Testing Automation com fit claro de localização do candidato.

Publicada27 de jul. de 2026

Países elegíveis1 país aceito

Sinal de senioridadeSenior

Modelo de trabalhoRemoto

Locais aceitos para candidatos

Índia

AWS CI/CD Docker GCP GraphQL JavaScript Kubernetes LLM React TypeScript

Resumo da vaga

Staff Software Engineer, QE

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

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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