Trading Systemes Developer

Highly successful crypto trading firm seeks strong software engineer with experience in trading systems development.

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Responsibilities:

Working on a low latency software, focus is on logic implementation, hot path optimization, monitoring & instrumentation, profiling; project A - sitting very close to execution, and optimizing/redesigning existing parts; project B - lead software ownership

- [short term] Optimizing existing trading software (python) for latency (instrumentation, profiling, JIT)

- [short/mid term] Initially contributing to, and eventually leading the roll out of a new core low latency software in Rust (eventually replacing the above version)

- [short/mid term] Assist in the development of the ecosystem for the new system: backtesting framework, monitoring, post trade analysis, etc.

- [short/mid term] Lead the implementation of a new set of execution strategies (low latency)

- [mid/long term] Extend new system to a suite of trades -> build out process, deployment, monitoring

- [long term] Be a part of / lead (depends on skill set and experience) a task force to overview the network topology for the wide range of software suites deployed, optimizing for latency, overhead, redundancy

Key Requirements:

- Strong proficiency in compiled languages such as C++, Java, Go, or Rust (Rust/C++ preferred), with solid scripting skills in Python on Linux.

- Good understanding of network transport protocols, particularly TCP/IP stack behavior and tuning on Linux (e.g., socket options, congestion control, zero-copy techniques).

- Proven experience developing low-latency, high-throughput systems — ideally in algorithmic trading, HFT, or real-time embedded environments.

- Hands-on experience with data streaming and caching technologies, including Kafka, Redpanda, ZeroMQ, Redis, or similar.

- Demonstrated ability to build observable systems using monitoring stacks such as Prometheus, Grafana, and Loki, or other time-series databases (TSDBs) for performance instrumentation and debugging.

Preferred Qualifications:

- Experience in designing, deploying, and maintaining production-grade trading systems, from concept through iteration, deployment, and monitoring.

- Understanding of Level 2 market data, order book dynamics, and exchange connectivity (e.g., FIX, binary protocols).

- Knowledge of distributed systems principles, including consensus patterns, multicast communication, state replication, and fault tolerance.

- Crypto trading systems experience a major plus but not required

- Strong foundation in mathematics/statistics, with ability to implement quantitative models a+