Build and maintain exchange API integrations and the data pipelines that feed our trading and fund-operations systems.
Develop tooling for time-series analytics, market data, and reporting, with an emphasis on correctness and observability.
Work on simulation and backtesting infrastructure to support strategy development and risk testing.
Design and implement internal interfaces and dashboards used by trading, operations, and research teams.
Integrate AI/LLM workflows into internal processes where they add measurable value.
Establish and uphold codebase standards; refactor legacy code to improve maintainability.

5+ years of experience full-stack software engineering experience.
Strong software engineering fundamentals and the ability to own features end-to-end, from architecture to production.
Experience with financial or trading systems: market microstructure, exchange integrations, algorithmic strategies, or quantitative analytics.
Undergraduate Degree in Computer Science, Software Engineering, or related field.
Proficiency with data tooling and time-series data at scale.
Functional programming experience; Clojure/ClojureScript is a strong asset, Python is expected.
A pragmatic approach to testing and reliability: simulation, state-machine modelling, and backtesting experience is valued.
Comfort pairing and mentoring; experience onboarding junior engineers is a plus.

Software Engineer

Key skills