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.
Skills Required
- 0-2 years of experience in QA or software development; internships, bootcamps, open-source contributions, and personal projects count
- Experience with TypeScript, JavaScript, or Python
- Familiarity with SQL
- Familiarity with Git
- Familiarity with modern development workflows
- Hands-on use of AI tools such as Claude, Copilot, or Cursor
- Comfort working in a sprint team and asking questions openly
- Strong curiosity and healthy skepticism of AI output
- Clear written communication
- Playwright experience
- API testing tools experience
- Azure DevOps experience
- Microsoft Fabric experience
- LLM evaluation tools experience
- Knowledge of OWASP
- Knowledge of RBAC
- Cybersecurity experience
- Unrestricted authorization to work in the United States
What We Do
Drawbridge is a premier provider of cybersecurity software and solutions to the alternative investment and wealth management industry. Its proprietary platform helps firms manage their governance, risk, and compliance (GRC) requirements while combatting sophisticated cyber threats and third-party risks. Drawbridge's platform connects business, compliance, and IT to empower firms to centralize and manage their most robust security programs, improve their risk profile and raise institutional capital. With a tested team focused on value delivery and an 800+ strong customer base, Drawbridge offers unmatched customer service and flexibility to help businesses proactively manage vulnerabilities, plan for growth, and reduce complexity.
