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’re looking for a part-time engineer to help develop end-to-end quantitative trading and research systems including high-frequency trading (HFT) platforms.
Your initial work will be on quant2.batonics.com
Process:
* Show me something you’ve built end-to-end (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.
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)
Details:
Part-time
Remote work with occasional in-person meetings
Hourly pay initially, scaling with workload and contribution