AlphaSense Oy logo
Est. Monthly
Estimated €5,000 - €5,500
Posted August 7, 2026 · 0 days agoLast seen August 7, 2026Est. expiry September 11, 2026

Quality Engineer

Staff Software Engineer, QE
Remote - India
Remote · Software Engineering
Full-time · Senior
English
No People Management
8 years experience
How this salary compares
Salary Context: Quality Engineer

Hover or tap a row for full statistics (EUR / month on this chart).

Salary analysis

Compared with the selected benchmark ("Market Average: Senior Level"), this listing's salary midpoint is about 92% lower. The offer sits below the benchmark range (€5,000–€5,500). The offer's range width is broadly in line with the benchmark. This benchmark is based on 1 comparable listings.

Monthly salary comparison for Quality Engineer
MarketLower bound (25th percentile)MedianUpper bound (75th percentile)
Market Average: Quality Engineer€2,720/per month€4,250/per month€5,500/per month
Pay in our data — not quoted in ad (Senior)€417/per month€438/per month€458/per month
About the role

About the Role: As a Staff Quality Engineer on the Content Portfolio team, you will own and drive test strategy, build automation frameworks, and embed a culture of quality ownership across the engineering organization. Your deep expertise in automation, cloud services, Kubernetes, and modern programming languages will directly shape how we test, release, and deliver reliable software at scale. You will partner closely with developers, product managers, and platform teams to define test requirements, architect quality infrastructure, and ensure AlphaSense ships with confidence at velocity. 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

Job Details

Responsibilities

  • Lead development of test automation frameworks for UI, API, and GraphQL
  • Design and integrate AI evaluation frameworks for LLM features
  • Use AI-assisted tools (Cursor, Claude) for test creation and debugging
  • Implement performance testing and monitoring solutions
  • Develop custom reporting and analytics tools for quality metrics
  • Drive adoption of new testing technologies
  • Optimize CI/CD test execution pipelines
  • Implement shift-left testing practices with development teams
  • Lead root cause analysis for critical issues
  • Participate in code reviews for testability
  • Mentor QE engineers on automation and AI tooling

Requirements

  • 8+ years of experience in software quality engineering
  • At least 2 years of experience at Staff/Lead level
  • Proficiency in TypeScript/JavaScript and modern frontend ecosystems (React, Webpack)
  • Expertise in Playwright or similar browser automation frameworks (Cypress, Selenium)
  • Experience with unit/component testing frameworks (Vitest, Jest, React Testing Library)
  • Experience designing and building test automation frameworks at scale
  • Understanding of CI/CD systems (GitHub Actions, Jenkins, Buildkite, Gitlab)
  • Experience with GraphQL APIs
  • Familiarity with performance and load testing tools (k6, Lighthouse, Artillery)
  • Experience with visual regression testing (Percy, Chromatic)
  • Experience with Allure or similar test reporting platforms
  • Understanding of AI/ML product testing challenges
  • Experience in SaaS, fintech, or market intelligence domains
  • Familiarity with Docker, Kubernetes, and cloud infrastructure (AWS/GCP)
  • Experience with AI/LLM evaluation frameworks
  • Experience with AI-assisted development tools (Cursor, GitHub Copilot, Claude)
  • Experience building or configuring MCP servers

Skills & Technologies

TypeScriptJavaScriptReactWebpackPlaywrightCypressSelenium WebDriverVitestJestReact Testing LibraryGitHub ActionsJenkinsBuildkiteGitlabGraphQLk6LighthouseArtilleryPercyChromaticAllureDockerKubernetesAWSGCPCursorGitHub CopilotClaudeMCP (Model Context Protocol)
Seen 21 hours agoContent Complete
Financial overview
€28.2M
Revenue
€14.9M
Profit
0.5%
Profit margin
AlphaSense Oy logo
AlphaSenseOy · 204 open roles
Top locations: Remote - Global · 177 · Helsinki, Finland · 17 · Singapore · 2+6 other locations
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