Senior Software QA Engineer

What you will do:

• Designing, building and owning automated test frameworks for backend services, APIs and user-facing applications
• Developing automated functional, integration and performance testing capabilities
• Working closely with engineering, research, trading and operations teams to define quality requirements
• Identifying weaknesses in existing test coverage and driving improvements across the development lifecycle
• Promoting a shift-left approach to testing, helping engineering teams identify issues earlier in development
• Participating in architecture and system-design discussions to improve testability
• Validating system correctness, reliability and performance under high-throughput and low-latency conditions
• Developing testing tools and infrastructure rather than simply writing or executing test cases
• Contributing to engineering standards and best practices around automated testing

What you will need:

• 5+ years of experience in QA automation, SDET or software test engineering
• Demonstrable experience designing and building an automation framework from scratch, including the underlying architecture and technical decisions
• Strong programming ability in at least one of Python, TypeScript, Go or C++
• Experience using programming languages to build test frameworks, tooling and infrastructure — not simply writing test scripts
• Strong understanding of software testing methodologies, test design and automation architecture
• Experience integrating automated testing into CI/CD pipelines
• Previous experience within trading, fintech or financial technology, ideally involving systematic trading or other complex, data-intensive systems
• Strong communication skills and the ability to work closely with software engineers and research teams

Nice-to-haves:

• Experience with Playwright, Pytest or similar modern automation frameworks
• Performance and load testing experience using tools such as k6 or Locust
• Experience testing low-latency, high-throughput systems
• Background in systematic trading, quantitative finance or crypto/Web3
• Experience applying AI/LLMs to software testing, such as AI-assisted test generation, automated failure analysis or testing/evaluating non-deterministic AI systems
• Working knowledge of SQL and/or NoSQL databases
• Experience testing data warehouses, data lakes or streaming/data pipelines
• Familiarity with observability and monitoring platforms such as Datadog or Grafana