We are assisting with the hire of an experienced low-latency engineer to join a specialist team building frameworks, libraries and performance tooling used across a large global electronic trading environment.

This is not a traditional BAU development role attached to one desk or application. The team works across multiple trading platforms, solving complex performance problems and helping define how latency-sensitive systems should be engineered.

Approximately 90% of the role is hands-on coding, with a major focus on Rust alongside modern Java.

What you’ll work on

• Low-latency Rust and Java frameworks
• Event-sourced systems operating in the 10–100 microsecond range
• Market-data replay, backtesting and simulation tooling
• High-performance market-data processing
• Linux, kernel and systems-level performance optimisation
• TCP/IP networking and kernel-bypass technologies
• Performance profiling, benchmarking and latency reduction
• Frameworks and tooling used across 100+ technology teams

What we’re looking for

You’ll ideally come from a background in algorithmic trading, electronic trading, market data or another genuinely latency-sensitive environment. Financial Services background is not crucial.

Relevant experience could include:

• Rust, modern Java or C++
• Low-latency / high-throughput systems
• Algorithmic or electronic trading
• Market-data technologies
• Linux internals and kernel behaviour
• TCP/IP networking
• Solarflare / OpenOnload or similar kernel-bypass technologies
• KDB or other time-series databases
• Performance tuning and optimisation

You do not need to match every technology listed. The key requirement is genuine depth in high-performance systems engineering and an ability to understand latency across the full stack.

Why consider it?

The standout here is the combination of:

Rust + microsecond-level performance engineering + large-scale production electronic trading.

You’ll remain deeply hands-on while working on engineering problems that sit underneath multiple trading platforms, rather than maintaining a single application.

We are assisting with the hire of an experienced low-latency engineer to join a specialist team building frameworks, libraries and performance tooling used across a large global electronic trading environment.

This is not a traditional BAU development role attached to one desk or application. The team works across multiple trading platforms, solving complex performance problems and helping define how latency-sensitive systems should be engineered.

Approximately 90% of the role is hands-on coding, with a major focus on Rust alongside modern Java.

What you’ll work on

• Low-latency Rust and Java frameworks
• Event-sourced systems operating in the 10–100 microsecond range
• Market-data replay, backtesting and simulation tooling
• High-performance market-data processing
• Linux, kernel and systems-level performance optimisation
• TCP/IP networking and kernel-bypass technologies
• Performance profiling, benchmarking and latency reduction
• Frameworks and tooling used across 100+ technology teams

What we’re looking for

You’ll ideally come from a background in algorithmic trading, electronic trading, market data or another genuinely latency-sensitive environment. Financial Services background is not crucial.

Relevant experience could include:

• Rust, modern Java or C++
• Low-latency / high-throughput systems
• Algorithmic or electronic trading
• Market-data technologies
• Linux internals and kernel behaviour
• TCP/IP networking
• Solarflare / OpenOnload or similar kernel-bypass technologies
• KDB or other time-series databases
• Performance tuning and optimisation

You do not need to match every technology listed. The key requirement is genuine depth in high-performance systems engineering and an ability to understand latency across the full stack.

Why consider it?

The standout here is the combination of:

Rust + microsecond-level performance engineering + large-scale production electronic trading.

You’ll remain deeply hands-on while working on engineering problems that sit underneath multiple trading platforms, rather than maintaining a single application.