Site Reliability Engineer

Site Reliability / DevOps Engineer

Leading High-Frequency Trading Firm | Chicago | Permanent

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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.

The Role

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.

What You’ll Do

• 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.
• 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 For

• 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 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 Experience

• 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.
• 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. xhqgsiq

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