Senior Software Engineer | ~£950/day Outside IR35 | 6-months initial contract | London

Industry:Trading

Location:London - 4 days in office

Job Type:Contract - 6-month initial

Our client is building the next generation of execution and order management (EMS/OMS) infrastructure for global commodities trading. You will join a small, fast-moving engineering team designing and delivering a cloud-native trading platform from the ground up, tightly integrated with risk, pricing, and market data systems to support high-performance trading environments.

This is a senior, hands-on role for an engineer who wants end-to-end ownership — from low-level protocol integration through to distributed execution services and trader-facing tooling.

What You’ll Be Doing

1. Design and build core components of a modern EMS/OMS platform, including order routing, order lifecycle management, venue connectivity, and execution analytics.
2. Implement and maintain FIX protocol and venue-specific integrations across exchanges, brokers, and liquidity providers in commodities markets.
3. Develop low-latency, distributed execution services with a strong focus on correctness, resilience, and performance under load.
4. Collaborate closely with traders, quants, and risk engineers to translate trading workflows and execution strategies into robust production systems.
5. Ensure seamless integration with risk systems, including pre-trade checks, position tracking, and post-trade processing.

Requirements

Essential

1. Proven experience building execution systems and/or order management systems in production.
2. Strong systems engineering fundamentals, including concurrency, distributed systems, networking, performance, and correctness under pressure.
3. Production experience in at least one of C++, Rust, or Python, with willingness to work across multiple languages.
4. Demonstrated ability to deliver production systems with a strong bias towards shipping, iteration, and user feedback.
5. Comfortable working in a collaborative environment with direct engagement between engineers, traders, and quants.
6. Experience working in cloud-native environments, particularly Kubernetes-based architectures.
7. Familiarity with distributed data and event-driven systems (e.g. Kafka-style messaging patterns).
8. Experience with observability, monitoring, testing, and production incident response in live systems.

Highly Desirable

1. Experience in commodities markets (energy, metals, agriculture, freight) or other complex, multi-venue asset classes.
2. Deep understanding of the FIX protocol, including session handling, message customisation, and venue-specific behaviour.
3. Experience with algorithmic trading systems, smart order routing, or execution algorithm development.
4. Exposure to real-time risk systems, including pre-trade controls and position/PnL infrastructure.
5. Experience with columnar databases such as ClickHouse.