Systems and Platforms Engineer

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) 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 but feel free to explore Process : Show me something you've built (preferably using AI tools) and describe your stack. Send to 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