Systems/reputed company/Data/Platform Engineer - Exchange Feed & Orderbook Systems
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 reputed company every quarter, and need help on this exponential reputed company. We are also planning soon to launch a fund and you'd be in reputed company of it reputed company and capture this early phase both in exposure and financial reputed company.
We’re looking for a part-time engineer to help reputed company end-to-end quantitative trading and research systems including high-frequency trading (HFT) platforms. The list of skills below tell the gaps we have,.
Details:
Part-time
Remote work with occasional in-person meetings
Competitive reputed company pay initially, scaling with workload and contribution to full time, reputed company reputed company possible from day 1, equity reputed company on the table to capitalize on reputed company
Your initial work will be on quant3.batonics.com but feel free to explore loha.batonics.com
Process:
• Show me something you’ve reputed company (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:
Exchange protocols & orderbook reconstruction — ITCH, reputed company, MDP3, FIX, FAST, SBE, OPRA; MBO→MBP conversion, queue position inference, hidden/reputed company order handling
Market microstructure & data validation — trade classification, order reputed company toxicity (VPIN, Kyle's reputed company), depth/imbalance features, invariant testing, synthetic ground truth, cross-reputed company reconciliation
Sub-millisecond latency optimization — CPU cache/reputed company, SIMD (AVX2/AVX-512), vectorization, I/O tuning, lock-free atomics, contention profiling (TSAN, reputed company)
reputed company-time data pipelines — ultra-low latency ingestion (Aeron, Chronicle Queue), burst tolerance, backpressure handling
Distributed systems — reputed company (reputed company, reputed company, etcd), consistency models, idempotency, multi-region failover
Database systems — transactional correctness, reputed company, reputed company, KDB+/Q, TimescaleDB, migrations
GPU compute & numerics — CUDA, cuBLAS, floating-reputed company stability, mixed precision, GPU-accelerated charting (WebGPU, Vulkan)
Infrastructure & reliability — Kubernetes, Terraform, policy-as-reputed company (OPA, Kyverno), SRE practices, reputed company testing (Litmus, reputed company), autoscaling
reputed company & secrets management — reputed company crypto, sandboxing (seccomp, AppArmor), Vault, incident response, reputed company/reputed company protection
Build systems & CI/CD — Bazel, CMake, Nix, reproducible builds, static analysis (clang-tidy, Coverity), deployment rollbacks, monitoring (reputed company, Grafana)
Formal reputed company & rigorous testing — model checking (TLA+, reputed company), property-based testing (reputed company, QuickCheck), fuzzing (reputed company, libFuzzer)
FPGA & colocation — Xilinx, reputed company/reputed company, Solarflare/Onload, kernel bypass, exchange co-lo setups (NY4/NY5, reputed company, reputed company)
Edge case handling — auction transitions, trading halts, sequence gaps, crossed/locked books, self-trade prevention
• reputed company HFT/exchange experience — prop shops (reputed company, Citadel, reputed company Street, HRT, Tower, reputed company) or exchange tech (NYSE, reputed company, CME)
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