You will work directly with founders, researchers, and traders to design and run the internal platform that powers live trading and research. Your mandate is simple: build an infrastructure advantage.
What you'll own
- Production infrastructure across multi-region cloud and latency-sensitive environments
- Reliable systems for live trading, multi-venue market data ingestion, and research compute
- Deployment pipelines that let the team ship strategy and model changes quickly and safely
- Observability across data quality, execution, strategy, and infrastructure
- Resilience: failover, disaster recovery, and operational readiness for systems that lose money when they are down
- The route from research prototype to production service, with real testing, monitoring, and maintainability
- Security architecture: IAM, networking, secrets, access control
- ML-serving infrastructure: low-latency model serving, feature pipelines, and experiment tooling for our research and ACA work
- Deep Linux and networking fundamentals
- Strong cloud experience, ideally AWS (compute, networking, IAM, storage, observability)
- Strong Python; C++, Rust, or Go for latency-critical paths is a plus
- Infrastructure as code (Terraform or equivalent)
- CI/CD and release engineering
- Data systems: PostgreSQL / TimescaleDB, Kafka, Redis, ClickHouse, and low-latency messaging
- Monitoring: Grafana, Prometheus, Loki, or similar
- Bonus: MLOps experience (model serving, feature stores, low-latency inference)
What makes this exceptional
- Founding-level ownership with direct influence over architecture and standards
- A live system in real markets, with immediate feedback loops
- Work directly with exceptional founders, researchers, and traders
- The chance to create an infrastructure edge, not just maintain systems
- Small team, high talent density, high trust, ambitious scope
