Meet the Team
The Information Technology organization is core to the health and growth of Millennium's business, supporting a flexible, scalable technology environment and advanced proprietary systems across the firm. This team builds and operates the C++ backend services that power Millennium's real-time risk and P&L platform — a distributed system of microservices running on AWS/Kubernetes, processing large-scale financial data with strict latency requirements. You will work on production services that run 24/5, collaborating closely with quantitative developers, platform engineers, and business stakeholders.
What You'll Do
- Design, build, and operate high-performance C++ services that compute real-time pricing, risk, and P&L across fixed income and credit instruments
- Own service reliability end-to-end: monitoring, alerting, incident response, and root cause analysis in a live production environment
- Write thread-safe, exception-safe C++ code for concurrent, near-real-time workloads with hard latency targets
- Optimize service performance — profiling hotspots, reducing memory allocations, improving cache behavior, and tuning throughput under load
- Integrate C++ services with upstream and downstream systems via Kafka, Protobuf, and internal APIs
- Contribute to the CI/CD pipeline: automated regression testing, A/B deployment, and blue/green release management
- Promote engineering best practices: code review, exception safety, RAII patterns, and robust error handling in a multi-threaded environment
What You Bring
- Bachelor's degree from a leading university in Computer Science, Software Engineering, or a related discipline; advanced qualifications are a plus
- Up to 5 years of professional experience in C++ service/systems development
- Strong hands-on experience with modern C++ (C++17/C++20): move semantics, smart pointers, RAII, templates, constexpr
- Solid understanding of multithreading and concurrency: mutexes, atomics, lock-free structures, thread pools, and race condition debugging
- Experience building and operating long-running backend services (not just libraries or batch jobs)
- Familiarity with service-oriented architecture, message queues (Kafka or similar), and serialization frameworks (Protobuf, FlatBuffers)
- Proficiency with Linux, GDB/LLDB, profiling tools (perf, Valgrind, AddressSanitizer), and CI/CD pipelines
- Strong analytical and troubleshooting skills — comfortable diagnosing production issues under pressure
- Clear communication skills and the ability to work effectively across teams in a fast-paced environment
Nice to Have
- Experience with reactive or event-driven programming patterns
- Familiarity with containerized deployments (Docker, Kubernetes)
- Exposure to financial services, pricing models, or risk systems