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