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QA Engineer

Drawbridge

Massachusetts, USA · Posted November 7, 2026

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How AI is used in this kind of work

Among software quality assurance analysts and testers, AI is already used for a large share of the tasks. Measured exposure for software quality assurance analysts and testers: 52% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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Skills this job asks for

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  • Python
  • Agile
  • SQL
  • Azure
  • CI/CD

About the job

QA Engineer

Drawbridge · Boston MA or Palm Beach Gardens FL Full-time · Reports to Head of QA

About Drawbridge

Drawbridge provides cybersecurity to the world’s leading hedge funds, private equity firms, and portfolio companies through its Cyber Risk Intelligence platform.

We have a tremendous opportunity for an early career (or career kick off) position in QA.

The role

The role provides a unique opportunity to work with the in-demand disciplines of cybersecurity and AI as applied to software quality assurance.

You'll work inside a small agile team alongside developers and product, help build the practice, and learn how to test AI along the way. You'll test a cybersecurity platform used by investment firms around the world, working across web applications, APIs, data pipelines, and AI-powered features. Agents propose tests, pipelines verify them and people decide.

This is an automation-first QA role. We expect code to be part of your testing toolkit.

What you'll do

Write and maintain automated tests across UI, API, data pipelines, and AI prompts.

Build eval sets for AI features and identify hallucinations, regressions, and inconsistent output.

Test authentication, authorization, permissions, and data protection controls.

Triage pipeline failures in Azure DevOps and write bug reports developers can act on.

Work with developers and product through sprint planning, refinement, and release. Raise risks early rather than at the end.

Run smoke, regression, and post-release checks.

Help improve test frameworks, test data, and quality tooling.

What you bring

0-2 years in QA or software development. Internships, bootcamps, open-source contributions, and personal projects count.

Experience with TypeScript/JavaScript or Python.

Familiarity with SQL, Git, and modern development workflows.

Hands-on use of AI tools such as Claude, Copilot, or Cursor.

Comfort working in a sprint team and asking questions in the open.

Strong curiosity, healthy skepticism of AI output, and clear written communication.

Nice to have

Playwright, API testing tools, Azure DevOps, Microsoft Fabric, LLM evaluation tools, OWASP, RBAC, or cybersecurity experience.

What you'll learn

Modern test automation practices.

AI and LLM testing techniques.

Test strategy for cybersecurity software.

CI/CD pipelines and quality engineering.

How high-performing product, engineering, and QA teams build software together.

Candidates must have unrestricted authorization to work in the United States. We are unable to provide visa sponsorship or immigration support for this position.