QA Engineer - Blueflame AI

Datasite•New York City, NY

2d•Hybrid

About The Position

At Blueflame AI for Datasite, you will be part of a dynamic team that is at the forefront of AI technology in the investment management and dealmaking industry. You will have the opportunity to work with cutting-edge products and make a significant impact on our clients' success. Join us to be part of a company that values innovation, client satisfaction, and continuous improvement. The QA Engineer position at Blueflame AI plays a critical role in ensuring the quality, reliability, and performance of the Blueflame AI platform. This position requires close collaboration with front-end and back-end engineers to validate new functionality, maintain regression coverage, and strengthen automated testing across the development lifecycle. The ideal candidate will be organized, detail-oriented, energetic, and comfortable working in a fast-paced startup environment. This is a hybrid position in NYC with 3 days in office per week (Mondays, Wednesdays and Thursdays).

Requirements

Experience as a QA Engineer, Software Development Engineer in Test, Test Automation Engineer, or similar role.
Strong hands-on experience with manual testing, regression testing, test case design, and defect reporting.
Practical experience building, maintaining, and debugging Playwright automated tests.
Proficiency with TypeScript and working knowledge of Python.
Experience using GitHub, GitHub Actions, and CI/CD pipelines.
Ability to problem solve independently and work collaboratively with engineering teammates.
Comfort troubleshooting failed tests and identifying root causes across the application, data, environment, and automation layers.
Clear communication skills and the ability to document issues, testing outcomes, and release risks effectively.

Nice To Haves

Experience maintaining AIO Tests or similar test management tooling.
Experience testing modern front-end applications and API-backed workflows.
Experience improving automation reliability and reducing flaky tests in CI environments.
Experience with LLMs, applied AI, financial technology, investment management, or dealmaking workflows.
End-to-end SDLC ownership or experience helping teams improve release readiness practices.

Responsibilities

Plan, execute, and document manual, exploratory, and regression testing for the Blueflame AI platform.
Build, maintain, and improve automated test suites using Playwright, TypeScript, and supporting tools.
Maintain AIO Tests or similar test management assets so coverage, execution status, and test results stay current.
Integrate, monitor, and troubleshoot automated tests within GitHub Actions and CI/CD workflows.
Reproduce, isolate, and document bugs with clear steps, evidence, severity, and expected behavior to support efficient engineering resolution.
Partner closely with front-end and back-end engineers throughout development, release readiness, and defect triage.
Analyze test failures, application behavior, and pipeline results to distinguish product defects from environment, data, or automation issues.
Contribute to QA standards, reusable test patterns, and process improvements that increase release confidence.
Write and maintain documentation for test coverage, QA processes, and automation best practices.