C++ Senior Software Engineer (Low-Latency Trading)

Nasze wymagania:
At least 8 years of similar experience
Modern C++: strong C++14/17 or later (C++20 an advantage), concurrency, memory management, data structures and algorithmic complexity
Linux development and debugging (GDB, shell scripting)
C++ unit testing and automated testing frameworks such as Robot Framework
Python for scripting, test automation and tooling
Git workflows, CI/CD pipelines and Ansible
L3 production support for business-critical systems
Confidence using AI coding assistants such as GitHub Copilot
Fluent English
Polish or EU citizenship, or a permanent residence / work permit valid for at least 12 months

Mile widziane:
Low-latency engineering: lock-free data structures, kernel bypass (DPDK, Solarflare), cache-efficient programming, NUMA optimisation
Performance profiling: perf, Intel VTune, flame graphs, Google Benchmark
Hardware-level understanding: CPU caches, branch prediction, memory hierarchies, NICs
Financial market protocols (FIX, ITCH, OUCH, exchange native APIs) and trading systems (exchange connectivity, smart order routing, algorithmic execution)
MCP servers / AI workflow automation; monitoring with Corvil, Geneos and PCAP analysis

O projekcie:
We are currently looking for a C++ Senior Software Engineer to join the team of one of the world's leading global investment banks. The project is delivered together with a large international IT services company. For this role, Optiveum is the recruitment and contracting party, which means you will sign the cooperation agreement directly with us.
You will design, implement and optimise high-performance, low-latency C++ components for exchange connectivity and algorithmic trading systems, supporting clients across leading European trading venues.
Key Details:
Work Model: Hybrid, 3 days per week from the client's office (non-negotiable), full-time
Location: Wrocław (candidates must live in or near Wrocław)

Zakres obowiązków:
Design, implement and optimise low-latency C++ components for exchange connectivity and algorithmic trading
Apply end-to-end engineering practices: analyse trading requirements, deliver new functionality, build automated tests and maintain CI/CD
Ensure quality, security, reliability and regulatory compliance of the software
Integrate observability, monitor production, provide L3 support and address root causes of incidents
Use AI-powered tools such as GitHub Copilot in everyday work and automate repetitive tasks through MCP-based integrations