• Develop high-performance and low-latency products to verify results and provide reliability for in-game play • Write Rust code, that's sophisticated, fast, and readable for complex, data science infrastructure • Design core, backend software components, and code primarily using Rust • Building internal and external tools to support Swish’s live trading platform • Source origins of data inaccuracies through data pipeline dependencies and python code base • Use extensive experience to build, test, debug, and deploy production-grade components • Proactively improve our Rust and Python codebase • Production model feature deep dives to explain project market lines

• Impact the data infrastructure of our core consumer and enterprise data offerings • Write scalable, efficient, and testable code using Python for data processing and automation • Manage database environments from production to 'Big Data' analytics • Collaborate with team members passionate about accurate predictions and real-time data

• Design, implement and maintain microservices and APIs in Java • Architect and implement resilient REST/gRPC APIs • Drive a culture of testing by writing and reviewing tests • Profile and optimize services for latency and throughput • Ensure services are instrumented with logging, metrics and distributed tracing • Propose and implement improvements to architecture and CI/CD pipelines

• Deliver reliable, maintainable Java services that support product features and operational requirements • Collaborate with cross-functional teams to improve system observability, resilience and security while enabling rapid delivery • Design, implement and maintain microservices and APIs in Java (Spring Boot or similar), applying clean architecture and SOLID principles • Develop and maintain REST/gRPC APIs, integrate with third-party payment and crypto providers, and ensure robust error handling and retries • Write unit and integration tests, participate in code reviews, and work with QA to ensure features meet acceptance criteria and non-functional requirements • Profile and optimise services for latency and throughput, implement caching and queuing patterns where appropriate, and contribute to capacity planning • Instrument services with logging, metrics and distributed tracing; create meaningful alerts and runbook entries to reduce MTTR • Follow secure coding practices, participate in threat modelling, and help ensure services comply with regulatory and internal security requirements • Propose and implement pragmatic improvements to architecture, CI/CD pipelines and developer experience