QA Engineer

Summary

Join our team as a QA Engineer and drive test automation, quality assurance, and reliability across our software, AI, and data-driven systems. You will collaborate with engineers, data scientists, and product managers to define and implement effective testing strategies. This role requires a strong focus on test automation using Playwright and TypeScript, but also includes manual testing for exploratory purposes and AI model evaluations. You will contribute to a culture of quality by mentoring and sharing best practices. The ideal candidate possesses extensive experience in QA with a strong emphasis on test automation, proficiency in TypeScript and Playwright, and experience with various testing methodologies and tools. This position offers the opportunity to work on a challenging and impactful project within a high-growth tech environment.

Requirements

• 5+ years of experience in QA with a strong focus on test automation
• Proficiency in TypeScript and hands-on experience with Playwright
• Strong understanding of backend and frontend testing for complex software systems
• Experience working with databases and data warehouses, for instance Databricks, Postgres, MongoDB
• Experience with API testing, integration testing, and UI automation
• Hands-on experience with monitoring tools like Datadog for detecting and analyzing system issues
• Strong collaboration skills and ability to work across multiple teams
• Strong problem-solving and analytical skills with ability to work in ambiguous environments
• Experience mentoring and sharing knowledge on automation and testing best practices

Responsibilities

• Design, develop, and maintain test automation suits using Playwright and TypeScript
• Support engineers in test automation in their domain and smoothly integrate automated testing into CI/CD pipelines following fail-fast approach
• Collaborate with Data Engineers and Data Scientists to validate data integrity, AI model behavior, and data pipeline transformations
• Partner with Product Managers and Engineering Managers to refine testing strategies for complex and evolving requirements
• Utilize monitoring tools like Datadog to track system performance, identify anomalies, and ensure system stability
• Conduct manual testing when necessary, focusing on edge cases, exploratory testing, and AI model behavior validation
• Advocate for Shift-Left Testing, ensuring defects are caught early in the development cycle
• Share knowledge and mentor team members on test automation strategies, best practices, and quality assurance methodologies
• Continuously improve the efficiency and reliability of our test suites by eliminating flaky tests and optimizing execution speed

Preferred Qualifications

• Familiarity with data validation, AI/ML testing, and ensuring data pipeline accuracy
• Experience with contract testing (e.g., Pact, WireMock) for API and data interactions
• Exposure to performance testing and system monitoring
• Prior experience working in a dedicated QA team in a high-growth tech environment