Site Reliability Engineer

Site Reliability / DevOps EngineerLeading High-Frequency Trading Firm | Chicago | PermanentOur 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.The RoleYou 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.What You’ll DoDesign, 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.Build observability solutions including metrics, logging, tracing, alerting, dashboards and automated remediation.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.Use Infrastructure as Code to provision and manage infrastructure, including Terraform and/or Ansible.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.What We’re Looking ForStrong 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 with Infrastructure as Code, such as Terraform, Ansible or equivalent.Strong observability experience using tools such as Prometheus, Grafana, ELK/OpenSearch or similar.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.Excellent communication skills and a collaborative, ownership-driven mindset.Desirable ExperienceExperience 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.Experience with Kafka, RabbitMQ or other streaming/message-queue technologies.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.