Senior Site Reliability Engineer/DevOps

Site Reliability / DevOps Engineer Leading High-Frequency Trading Firm | Chicago | Permanent Our client is a leading global high-frequency trading firm that designs, builds and operates its trading infrastructure in-house. In an environment where reliability, latency and engineering quality directly affect business performance, technology is treated as a core competitive advantage. They are seeking a hands-on SRE / Software / DevOps Engineer to help build, automate and operate the platforms underpinning mission-critical trading, research and data systems. You will work across software engineering, infrastructure and production operations to improve the reliability, performance and scalability of a global trading platform. This is a development-first reliability role: you will write production-quality automation and tooling, improve observability, streamline deployments and help eliminate classes of operational failure. You will collaborate closely with trading-system engineers, quant researchers, infrastructure engineers and platform teams in a fast-moving, low-latency environment. Design, build and maintain automation, deployment and configuration tooling for trading and research infrastructure. Develop internal platforms and services using Python and/or Go. Build and improve CI/CD pipelines, release workflows, environment management and deployment automation. Operate and enhance Linux-based production environments across on-premises data centres and cloud infrastructure. Investigate and resolve complex production incidents, performing deep technical root-cause analysis. Improve system resilience through redundancy, failover design, capacity planning and proactive performance tuning. Support containerised workloads and Kubernetes-based platforms where appropriate. Work with networking, storage and compute teams to optimise low-latency, high-throughput systems. Participate in an on-call rotation and drive improvements through post-incident reviews and automation. Partner with engineering teams to establish best practices for reliability, testing, deployment and operational excellence. Strong software engineering skills, ideally in Python and/or Go .Deep Linux expertise, including systems troubleshooting, performance analysis and production operations. Experience building automation, internal tooling or infrastructure platforms in a production environment. Solid understanding of CI/CD, Git-based workflows and modern deployment practices. Experience supporting distributed, high-availability or performance-sensitive systems. Strong networking fundamentals, including TCP/IP, latency, throughput and troubleshooting. Ability to debug issues across the full stack: application, operating system, network, storage and infrastructure. Experience in HFT, proprietary trading, market making, fintech, gaming, telecoms or another low-latency environment. Exposure to trading systems, market data, exchange connectivity, colocation or real-time data pipelines. Kubernetes, Docker, EKS or on-premises container platforms. Cloud experience with AWS, including EC2, S3, networking and managed services. Familiarity with C++, Rust or low-level performance profiling. Experience with time-series databases, ClickHouse, Cassandra or other high-performance data stores. Experience with configuration management, bare-metal provisioning or data-centre automation. Apply now for an confidential chat.