Systems / Infra / Platform Engineer - HFT / Quant Trading Systems (Rust / C++)

Batonics AB; Remote; GBP 80,000 - 100,000; Part time

Job summary

A leading trading technology firm in the UK is seeking a part-time engineer to help develop high-frequency trading platforms and quantitative research systems. The role offers flexible hours, competitive initial pay, and potential for revenue sharing and equity options as the company grows. Ideal candidates will have experience with performance optimization and building end-to-end trading systems. This position supports remote work with occasional in-person meetings.

Benefits

Competitive hourly pay

Flexible hours

Potential revenue share

Equity options available

Qualifications

• Experience building end-to-end quantitative trading systems.
• Familiarity with trading platforms, preferably HFT.
• Understanding of performance and latency optimization.

Responsibilities

• Develop end-to-end quantitative trading and research systems.
• Contribute to high-frequency trading platforms.
• Engage in performance and latency optimizations.

Skills

High-performance database systems

Real-time data pipelines

Performance optimization

Concurrency and memory models

GPU compute

Security

Job description

Company

Batonics builds high-throughput quantitative trading and research platforms and AI agents for leading funds and institutions across Asia, the U.S., and Europe. Our products deliver advanced market-microstructure analytics, backtesting, portfolio and risk tools, and formal verification for low-latency systems merging high-performance computing, AI, and frontier quantitative research.

We have been almost doubling revenue every quarter, and need help on this exponential journey.

We’re looking for a part-time engineer to help develop end-to-end quantitative trading and research systems including high-frequency trading (HFT) platforms.

Details :

Part-time (with transition to fulltime) - flexible hours

Remote work with occasional in-person meetings

Competitive hourly pay initially, scaling with workload and contribution to full time, revenue share possible from day 1, equity options on the table to capitalize on growth

Your initial work will be on quant.batonics.com but feel free to explore loha.batonics.com

Process :

• Show me something you’ve built (preferably using AI tools) and describe your stack. Send to [e-mail]
• Interview.
• Task(s) (1-2hrs)
• (Optional) Go head-to-head with me where we both tackle a multi-tier coding challenge (AI tools allowed).
• Follow-up chat.
• Decision.

Any of the below is a plus but not neccessary :

• High-performance database systems & transactional correctness (isolation / serializability)
• Real-time data pipelines & market-data processing (ultra-low latency, burst tolerance)
• Performance / latency optimization to sub-millisecond : CPU cache / NUMA, SIMD, vectorization, I / O tuning
• Concurrency & memory models : lock-free / atomics, race detection (TSAN), contention profiling
• Backend / platform architecture & multi-region reliability (failover, disaster recovery)
• SRE / reliability engineering : SLOs, load shedding, autoscaling, chaos testing, tracing
• GPU compute & numerical methods, plus floating-point stability and mixed precision
• Formal methods & rigorous testing : model checking, property-based testing, fuzzing
• Security : applied crypto (use of vetted libs), web / appsec, sandboxing (seccomp / AppArmor), secrets / keys
• Distributed systems & consensus (Raft / Paxos), consistency models, backpressure, idempotency
• Build systems & developer tooling : Bazel / CMake, reproducible builds, hermetic CI, static analysis
• Supply-chain hygiene : dependency pinning / lockfiles, SBOMs, provenance / attestations
• Infrastructure as Code : Kubernetes / Terraform with policy as code (OPA / Kyverno)
• Experience in an HFT firm