Datasite

QA Engineer - Blueflame AI

Datasite
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11 days ago

Base Salary

$101k - $170k/yr

Responsibilities

  • Plan, execute, and document manual, exploratory, regression, and automated 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, including coverage, execution status, and test results.
  • Integrate, monitor, and troubleshoot automated tests within GitHub Actions and CI/CD workflows.
  • Reproduce, isolate, and document defects with clear steps, evidence, severity, and expected behavior.
  • Partner with front-end and back-end engineers during development, release readiness, and defect triage.
  • Analyze test failures and pipeline results to distinguish product defects from environment, data, or automation issues.
  • Contribute to QA standards, reusable test patterns, process improvements, and release-confidence initiatives.
  • Write and maintain documentation for test coverage, QA processes, and automation best practices.

Requirements

  • Experience as a QA Engineer, Software Development Engineer in Test, Test Automation Engineer, or similar.
  • 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 troubleshoot failed tests and identify root causes across application, data, environment, and automation layers.
  • Clear communication and documentation skills for issues, testing outcomes, and release risks.
  • Preferred experience maintaining AIO Tests or similar test management tooling.
  • Preferred experience testing modern front-end applications and API-backed workflows, improving automation reliability, and reducing flaky tests in CI environments.
  • Experience with LLMs, applied AI, financial technology, investment management, or dealmaking workflows is preferred.
  • End-to-end SDLC ownership or experience improving release-readiness practices is preferred.

Benefits

  • Hybrid position in New York City with three days in the office per week: Mondays, Wednesdays, and Thursdays.
  • Health insurance, including medical, dental, and vision coverage.
  • Retirement savings plan.
  • Paid time off and other employee benefits.

Tech Stack

GitHub ActionsPythonTypeScript

Categories

Datasite

About Datasite

1,001-5,000 employees
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