Systems/Infra/Data/Platform Engineer - Exchange Feed & Orderbook Systems

Batonics AB; Netherlands; On-site; EUR 42,000 - 68,000; Part time

Job summary

A quantitative trading technology company in the Netherlands seeks a part-time engineer to develop end-to-end quantitative trading systems. This entry-level role involves low-latency optimization and infrastructure reliability. Candidates should have proficiency in market microstructure and data validation, sub-millisecond latency optimization, and real-time data pipelines. The company values skills in security management and formal verification, offering an engaging environment for fresh talents in investment management.

Qualifications

• Experience with trade classification and order flow toxicity.
• Proficiency in sub-millisecond latency optimization techniques.
• Knowledge of ultra-low latency ingestion and real-time data management.

Responsibilities

• Develop and optimize end-to-end quantitative trading systems.
• Collaborate on low-latency optimization and infrastructure reliability.
• Contribute to formal verification and rigorous testing.

Skills

Market microstructure & data validation

Sub‑millisecond latency optimization

Real‑time data pipelines

Database systems

GPU compute & numerics

Infrastructure & reliability

Security & secrets management

Build systems & CI/CD

Formal methods & rigorous testing

Direct HFT/exchange experience

Tools

Aeron

Chronicle Queue

ClickHouse

Redis

KDB+/Q

TimescaleDB

CUDA

Job description

Overview

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. 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.

Responsibilities

Develop end‑to‑end quantitative trading and research systems, including HFT platforms. Collaborate on low‑latency optimization, real‑time data pipelines, and infrastructure reliability. Contribute to formal verification and rigorous testing.

Skills

Market microstructure & data validation – trade classification, order flow toxicity (VPIN, Kyle’s lambda), depth/imbalance features, invariant testing, synthetic ground truth, cross‑source reconciliation.

Sub‑millisecond latency optimization – CPU cache/NUMA, SIMD (AVX2/AVX‑512), vectorization, I/O tuning, lock‑free atomics, contention profiling (TSAN, perf).

Real‑time data pipelines – ultra‑low latency ingestion (Aeron, Chronicle Queue), burst tolerance, backpressure handling.

Database systems – transactional correctness, ClickHouse, Redis, KDB+/Q, TimescaleDB, migrations.

GPU compute & numerics – CUDA, cuBLAS, floating‑point stability, mixed precision, GPU‑accelerated charting (WebGPU, Vulkan).

Infrastructure & reliability – Kubernetes, Terraform, policy‑as‑code (OPA, Kyverno), SRE practices, chaos testing (Litmus, Gremlin), autoscaling.

Security & secrets management – applied crypto, sandboxing (seccomp, AppArmor), Vault, incident response, strategy/code protection.

Build systems & CI/CD – Bazel, CMake, Nix, reproducible builds, static analysis (clang‑tidy, Coverity), deployment rollbacks, monitoring (Prometheus, Grafana).

Formal methods & rigorous testing – model checking (TLA+, Alloy), property‑based testing (Hypothesis, QuickCheck), fuzzing (AFL, libFuzzer).

Edge case handling – auction transitions, trading halts, sequence gaps, crossed/locked books, self‑trade prevention.

Direct HFT/exchange experience – prop shops (Jump, Citadel, Jane Street, HRT, Tower, Optiver) or exchange tech (NYSE, NASDAQ, CME).

Process

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

Seniority Level

Entry level

Employment Type

Full‑time

Job Function

Information Technology

Industry

Investment Management