Our team combines the best practices of DevOps and QA to enable frequent and fast delivery of high-quality software.  We care deeply about system reliability, testability, recoverability, and fault tolerance. 

Our QA engineers have a strong understanding of computer science fundamentals, programming, and software engineering. We are analytical thinkers. We are always developing and improving our craft. If it’s broken, we fix it. If it needs refactoring, we refactor it. If it’s hard to test, we make it testable. We love automation. We ship code weekly.  We’re looking for like-minded individuals to join us.

• Write automated tests and code to evaluate new functionality across our real-time trading systems
• Create system-wide integration tests bridging our real-time systems and batch frameworks and processes
• Design and execute automated testing for distributed data pipelines, including real-time and batch processing systems
• Validate event-driven architectures by testing message flows, ordering, latency, and data integrity within Kafka streams
• Test trading, billing, symbol, data platform, and reference data flowing through the trading system to ensure functionality and stability
• Work in Snowflake and PostgreSQL to audit and identify billing discrepancies, building automated test coverage for various billing scenarios
• Develop chaos engineering tests and disaster recovery scenarios for critical systems

Frameworks & Tooling

• Develop and maintain our proprietary Python-based automated test frameworks
• Contribute to the design and evolution of our world-class, home-grown testing framework
• Develop Java-based automation tools (on select sub-projects) to process, search, and validate terabyte-scale market data files
• Improve deployment processes, stored procedures/API calls, scheduler configurations, and quality control procedures

Collaboration & Documentation

• Collaborate directly with product owners and development teams to test and validate new features — identifying, reporting, and driving resolution on issues
• Partner with engineering and data teams to define scalable QA strategies for performance, resiliency, and correctness in high-volume trading environments
• Learn trading concepts and apply that knowledge to develop a wide variety of real-world test scenarios
• Maintain system-wide documentation, runbooks, process flows, and troubleshooting guides

• Bachelor's Degree in Computer Science, Engineering, or related field
• 2+ years of QA or Software Engineering experience with demonstrable, hands-on automated testing
• Strong Python development skills (our primary language)
• Solid understanding of computer science fundamentals, OOP design, and software engineering principles
• SQL proficiency (PostgreSQL and/or Snowflake)
• Experience with CI/CD pipelines (Jenkins, GitHub Actions, or similar)
• Familiarity with containerization tools (Docker/Kubernetes)
• Working knowledge of Linux
• Experience testing event-driven or message-driven architectures (Apache Kafka preferred)
• Experience with the full SDLC and Agile QA processes
• Proficiency with Git and version control workflows
• Ability to independently investigate ambiguous issues and drive them to resolution without heavy direction
• Comfortable reading and reasoning about production code, not just writing tests against it
• Java experience is a plus