QA Engineer

About the firm

Burford Capital is the leading global finance and asset management firm focused on law. Its businesses include litigation finance and risk management, asset recovery, and a wide range of legal finance and advisory activities. Burford is publicly traded on the New York Stock Exchange (NYSE: BUR) and the London Stock Exchange (LSE: BUR), and works with companies and law firms around the world from its principal offices in New York, London, Chicago, Washington, Singapore, and Dubai.

Burford is the largest and most experienced provider of commercial finance to the legal sector, with core expertise in identifying and optimizing the value of legal assets. Since its founding in 2009, Burford has worked with hundreds of law firms and corporations, including 94 of the AmLaw 100 and 92 of the Global 100 largest law firms. The team has grown from five people in 2009 to over 160 today, including over 55 lawyers. Burford combines the resources and expertise of a large company with the flexibility and creativity of a startup.

Team members are smart, creative, collaborative, curious, and confident, valuing rigorous thinking, clear communication, and efficient execution. Burford is committed to increasing diversity and maintaining an inclusive workplace culture, welcoming applications from all qualified candidates regardless of ethnicity, race, gender, religious beliefs, sexual orientation, age, marital status, or disability.

About the role

The firm seeks a detail-oriented and technically capable QA Engineer to support the quality of complex, data-driven financial applications through manual testing, test planning, and automation engineering. The ideal candidate will have approximately five years of experience in software quality assurance, including hands-on experience designing test cases, performing exploratory and regression testing, and building maintainable automated test suites.

The role will use modern AI-assisted development tools to accelerate test creation, identify edge cases, support automation development, and improve failure analysis, while applying appropriate engineering judgment and validation. The successful candidate will work closely with developers, quantitative professionals, and business users to ensure software and data solutions are reliable, accurate, performant, and production-ready.

The QA Engineer will work as part of Burford’s Core Services group, contributing to a variety of software and data projects across the firm’s evolving tools and platforms. The role involves defining acceptance criteria, executing manual and automated tests, developing reusable testing tools, and integrating quality checks into the software development and delivery process.

The ideal candidate is an energetic, collaborative, and proactive individual comfortable working across multiple projects, sharing expertise, investigating issues in depth, and taking ownership of results. The role reports to the Software Engineering Group Lead and is based in Burford’s New York office.

Responsibilities

• Test planning and design: Review business requirements, user stories, and technical designs; define acceptance criteria, test plans, test cases, and risk-based coverage for new features, fixes, and releases.
• Manual and exploratory testing: Execute functional, regression, integration, usability, and exploratory testing across browser-based applications and complex business workflows.
• Automation development: Build and maintain reliable automated UI, API, and integration tests using tools such as Playwright, Cypress, Selenium, PyTest, or equivalent frameworks.
• AI-assisted quality engineering: Use approved generative AI and coding assistants to draft test scenarios, generate automation scaffolding, improve coverage, analyze failures, and maintain test assets. Review generated output for correctness, security, maintainability, and business relevance.
• API and data validation: Test RESTful services, data pipelines, and database integrations; use SQL to validate data accuracy, completeness, and consistency across PostgreSQL, Snowflake, SQL Server, or similar platforms.
• CI/CD integration: Incorporate automated tests into Azure DevOps, GitHub Actions, or comparable pipelines and help define appropriate quality gates for pull requests, deployments, and scheduled regression runs.
• Defect management: Record clear, reproducible defects; partner with engineers to isolate root causes; verify fixes and identify opportunities to prevent recurrence through automation or process improvement.
• Test environments and data: Help create repeatable test data, fixtures, mocks, and environment setup that support parallel development and dependable automated execution.
• Quality reporting: Communicate test results, release risks, escaped defects, automation health, and coverage gaps in a concise and actionable manner.
• Shift-left collaboration: Participate early in the software development lifecycle, challenge unclear requirements, and help teams design applications that are observable, testable, and resilient.

Requirements

• Approximately five years of professional experience in software quality assurance, quality engineering, or software testing, including meaningful hands-on test automation experience.
• Demonstrated ability to create test strategies and detailed test cases, perform manual and exploratory testing, and make sound risk-based decisions about what should be automated.
• Proficiency in at least one programming or scripting language, preferably Python or TypeScript/JavaScript, with an ability to write readable, maintainable test code.
• Hands-on experience with modern browser automation and API testing tools such as Playwright, Cypress, Selenium, PyTest, Postman, REST Assured, or equivalent technologies.
• Working knowledge of SQL and experience validating application data in relational or cloud data platforms.
• Experience integrating automated tests with CI/CD pipelines and working with Git-based development workflows.
• Understanding of smoke, functional, regression, integration, end-to-end, and performance testing approaches, including the strengths and limitations of each layer.
• Experience using AI-assisted development or testing tools to improve productivity, together with the judgment to validate generated tests and avoid exposing confidential or regulated information.
• Strong analytical, debugging, and communication skills, with the ability to collaborate across technical and nontechnical teams.

Preferred Qualifications

• Experience testing financial, legal, quantitative, or other data-intensive enterprise applications.
• Familiarity with Azure, Docker, cloud-hosted applications, and test execution in containerized environments.
• Exposure to accessibility, performance, security, or model-output validation testing.
• Experience improving flaky test suites, test data management, or cross-application end-to-end coverage.
• Bachelor's degree in computer science, engineering, or a related discipline, or equivalent practical experience.

Pay

The base compensation range for this role is $100,000 - $120,000. Burford also pays a discretionary annual bonus and provides welcome Restricted Stock Units to all full-time employees.

Location

This role is based in Burford’s New York office.