About The Position

We are looking for an experienced Senior Golang Developer to join our Trading Technology team and build high-performance, low-latency systems for a global Forex/CFD brokerage. We expect the ability to independently investigate complex tasks, propose optimal architectural solutions, and proactively collaborate within the cross-functional team and with various stakeholders (Trading, IT). This role is ideal for engineers who understand market microstructure and enjoy building high-throughput distributed systems with strict performance and reliability requirements.

Requirements

  • 5+ years of experience with Golang, including deep understanding of concurrency (goroutines, channels, sync, atomics).
  • Strong experience implementing microservices using event-driven and RPC-based communication (NATS, Kafka, gRPC, REST).
  • Experience with SQL/NoSQL databases (MySQL, ClickHouse, Redis, MongoDB) including query optimization and schema design.
  • Understanding of containerization, orchestration, infrastructure as code tools (Docker, Kubernetes, Ansible).
  • Solid experience with at least one message queue/broker (Kafka, NATS, Redis Streams).
  • Experience in building high-load systems with low latency.
  • Experience with high frequency trading
  • Strong debugging and profiling skills (pprof, flamegraphs, tracing).

Nice To Haves

  • Experience developing systems for Forex/CFD trading, including knowledge of: Market data streams (ticks, depth, L2/L3 order books) Order execution flows (market, limit, IOC/FOK, A-book/B-book routing) Risk engines Liquidity provider integrations
  • Knowledge of efficient binary protocols: Protobuf, SBE, FlatBuffers.
  • Experience with high-performance in-memory data structures.
  • Familiarity with monitoring and observability: Prometheus, Grafana, OpenTelemetry.
  • Understanding of FIX API integrations.

Responsibilities

  • Design and implement low-latency, high-throughput trading microservices in Go
  • Optimize performance at all levels: CPU/memory consumption, GC pressure, lock-free structures, batching strategies.
  • Implement efficient concurrency patterns (SPSC/MPSC queues, worker pools, sync primitives, event-driven pipelines).
  • Build resilient distributed services with failover, back-pressure handling, and graceful degradation.
  • Interact with Product Owner/Business Analyst to design flows, logical schemes, algorithms.
  • Conduct cross-team code reviews, propose improvements, exchange experience with peers.
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