Site Reliability Engineer

Location: Chicago, IL

Type: Full-time, on-site

Team: Trading Infrastructure / Production Engineering

What you’ll do: Build and maintain the reliability, performance and scalability of proprietary low-latency trading systems. Design and develop automation, tooling and observability to proactively detect issues before they impact trading. Support and improve production trading, testing and research environments, including incident response and root-cause analysis. Own and enhance monitoring, alerting, logging, tracing and SLA-based observability across critical systems. Improve CI/CD, deployment, release verification and operational processes across engineering teams. Conduct performance analysis, stress testing and capacity planning to validate system behaviour under real-world load. Partner with traders, software engineers, DevOps, networking, data-centre and infrastructure teams to solve complex production problems. Drive an automation-first culture, eliminating manual intervention and reducing operational toil. Contribute to the design of resilient, highly available infrastructure for latency-sensitive trading workloads.

What we’re looking for: Strong software engineering or SRE background, ideally within trading, fintech, HFT, market data, cloud or other low-latency environments. Excellent Linux systems knowledge, including performance tuning, troubleshooting and production operations. Strong scripting and automation skills in Python and Bash; additional languages such as Go, Rust or C++ are a plus. Solid understanding of networking fundamentals, including TCP/IP, UDP, multicast, network protocols and latency-sensitive architectures. Hands-on experience with observability tooling, metrics, logging, tracing and alerting. Experience with CI/CD, infrastructure automation, configuration management and deployment tooling. Strong diagnostic ability across the full stack, from application behaviour through operating systems, networking and underlying hardware. A pragmatic, ownership-driven mindset with excellent communication and collaboration skills. Comfort operating in a fast-paced, mission-critical environment where reliability and speed directly impact the business.

Nice to have: Experience supporting electronic trading platforms, exchange connectivity, market data systems, order routing or execution infrastructure. Exposure to Kubernetes, containers, infrastructure-as-code and hybrid cloud/on-premise environments. Experience with performance profiling, kernel tuning, NUMA, CPU pinning, DPDK, RDMA or other low-latency optimisation techniques. Prior experience working directly with trading desks, quant researchers or front-office engineering teams. Familiarity with financial-market infrastructure, market microstructure or real-time data pipelines. Apply now for an confidential conversation