Senior Engineer, QE

About the Role:

As a Senior Engineer, QE, you own test strategy and coverage for your team's features and act as a strategic quality partner to the engineers who build them. You design test plans, build and evolve automation frameworks, and embed quality-by-design.You partner closely with developers, product managers, and platform teams to define test requirements, guide teams toward sustainable quality practices, and help us ship with confidence at velocity.

You will:

Define and execute test strategies across UI, API, and service layers to ensure comprehensive coverage.Develop and maintain reliable automation frameworks and performance testing suites.Utilize AI-assisted tools and agentic workflows to accelerate testing and debugging cycles.Lead risk assessments, release validations, and root-cause analyses for critical issues.Implement shift-left practices and enforce quality gates within development teams.

Desired Skills:

• 5+ years of hands-on experience in software quality engineering roles
• 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.
• Hands-on experience with AI-assisted development tools such as Cursor, GitHub Copilot, or Claude for accelerating test authoring, code review, and debugging.
• 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.
• Familiarity with performance and load testing tools (k6, Lighthouse, Artillery).
• Familiarity with visual regression testing (Percy, Chromatic, Playwright visual comparisons).
• Familiarity with Docker, Kubernetes, and cloud infrastructure (AWS/GCP).

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.

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