Jobs in Plymouth, United Kingdom

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

• Show me something you’ve built (preferably using AI tools) and describe your stack. Send to ahmed@batonics.com
• 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.

• 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