At a Glance
- Tasks: Build and optimise low-latency systems for real-time trading data.
- Company: Leading financial tech firm in Canary Wharf with a focus on innovation.
- Benefits: Competitive daily rate, potential for extension, and hands-on experience.
- Other info: Opportunity to work on cutting-edge technology in a fast-paced environment.
- Why this job: Join a dynamic team and make an impact in real-time trading systems.
- Qualifications: Strong C++ skills and experience in low-latency environments required.
The predicted salary is between 62400 - 62400 Β£ per year.
We're building a Real Time trade monitoring and market data system operating across a distributed Linux environment, where latency, determinism, and throughput are critical.
This is a hands-on C++ engineering role focused on building and optimising the low-level systems that move and process trading data in Real Time.
Key Skills- Strong modern C++ (11/14/17) in production systems
- Deep experience in low/ultra-low latency environments
- Strong Linux systems programming background
- Multithreading, concurrency, memory/performance optimisation
- Network-level understanding (TCP/IP, sockets, latency tuning)
- Market data/trading/exchange systems experience
- FIX protocol, matching engines, or trade messaging
- eBPF/Kernel tracing/performance tooling (bcc, bpftrace, kprobes)
- High-performance distributed systems (non-observability focused)
You will be working on systems that sit close to the data path, ensuring trade events can be captured, processed, and correlated in Real Time across distributed infrastructure. This is not a dashboard or platform observability role - it is systems-level engineering on live trading data flows.
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