Trading Systems SRE

Site Reliability Engineer / DevOps Engineer — Trading Systems Location: London Employment type: Permanent, full-time Team: Trading Technology / Production Engineering We are looking for a hands-on Site Reliability Engineer / DevOps Engineer to support, stabilise and continuously improve the firm’s mission-critical trading systems. This is not a purely operational role: you will take ownership of production issues, investigate faults at code level, and deliver engineering projects that make the platform more reliable, resilient and scalable. You will work closely with trading desks, software engineers, infrastructure teams and risk/operations stakeholders to ensure that live trading systems remain highly available, performant and secure. The role suits an engineer who enjoys moving between incident response, systems troubleshooting, automation and Python development. What You’ll Do - Own the reliability, availability, performance and observability of production trading systems across the full trading lifecycle, including market data, order management, execution and risk systems. - Respond to production incidents, perform structured root-cause analysis, and drive issues through to permanent resolution rather than temporary workarounds. - Debug production faults by examining application logs, system metrics, network behaviour, configurations and application code. - Read, understand and modify Python code to diagnose defects, build operational tooling, automate investigations and implement lasting fixes. - Partner with development teams to improve code quality, error handling, logging, monitoring, deployment practices and system resilience. - Build and maintain automation for deployments, health checks, failover, capacity management, incident diagnostics and routine operational tasks. - Design and improve monitoring, alerting, dashboards and observability tooling to detect issues before they impact trading. - Contribute to CI/CD pipelines, configuration management, release processes and infrastructure-as-code practices. - Work with traders and business stakeholders to understand the operational impact of issues, prioritise remediation work and communicate clearly during incidents. - Lead or contribute to engineering projects focused on fault tolerance, performance optimisation, capacity planning, disaster recovery and platform scalability. - Produce clear runbooks, post-incident reviews, architecture documentation and operational procedures. What We’re Looking For - Strong experience in SRE, DevOps, Production Engineering, Trading Systems Support or a closely related discipline. - Excellent Python development skills, with the ability to write production-quality tooling and confidently debug existing codebases. - Advanced Linux administration and troubleshooting skills, including processes, networking, storage, performance analysis and system diagnostics. - Experience supporting high-availability, latency-sensitive or real-time production systems; trading, financial services, market data or HFT experience is highly desirable. - Ability to take end-to-end ownership of incidents: investigate, identify the root cause, implement a fix or coordinate one, and prevent recurrence. - Comfortable working directly with code, logs, metrics and infrastructure rather than escalating issues immediately. - Solid understanding of networking fundamentals, including TCP/IP, multicast, DNS, firewalls, latency and connectivity troubleshooting. - Experience with observability and monitoring tools such as Prometheus, Grafana, ELK/OpenSearch, Splunk or equivalent. - Experience with CI/CD tooling and automation, such as GitLab CI, Jenkins, Ansible, Terraform or equivalent. - Strong communication skills and the ability to remain calm, structured and decisive under pressure. - A proactive, ownership-driven mindset with the ability to balance urgent incident response with longer-term engineering improvements. Desirable Experience - Exposure to trading platforms, exchange connectivity, order flow, market data systems or electronic trading infrastructure. - Understanding of low-latency systems, performance tuning and trading-system architecture. - Experience with Kubernetes, containers, cloud infrastructure or hybrid on-premise environments. - Experience leading technical projects or acting as an escalation point for critical production systems. Apply now for an confidential conversation