> Markdown version of [/jobs/ext/3693431-production-engineer-sre-trading-systems-leading-quantitative-trading-firms](https://www.wearedevelopers.com/jobs/ext/3693431-production-engineer-sre-trading-systems-leading-quantitative-trading-firms). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Production Engineer / SRE - Trading Systems- Leading Quantitative Trading Firms - **Company:** Leading Quantitative Trading Firms - **Location:** London, UK - **Salary:** £180,000.0 - **Contract:** Permanent contract - **Skills:** Algorithmic Trading, C++ (Programming Language), Computer Programming, Software Debugging, Linux, Distributed Systems, Python (Programming Language), Reliability Engineering, Rust (Programming Language), Scripting, Reliability of Systems, Golang - **Published:** October 12, 2026 - **Apply:** https://www.reed.co.uk/jobs/production-engineer-sre-trading-systems-leading-quantitative-trading-firms/57446146 ## About the Role * Strong Linux fundamentals * Programming/scripting ability - Python, Go, C++, Rust, etc. * Systems and networking knowledge * Experience operating complex production environments * Strong debugging ability * Automation-first mentality * Calmness when diagnosing genuinely critical systems These are excellent roles for strong SRE, Production Engineering, Systems or Infrastructure engineers who want more technically demanding problems and direct ownership. ## Description Production Engineers within these environments write software, design infrastructure and own the reliability of systems that are fundamental to live trading. At some firms, Production Engineers are embedded directly into software teams; elsewhere they own firm-wide platforms and monitoring infrastructure. You could work on: * Automation and reliability engineering * Linux systems at significant scale * Monitoring, observability and alerting * Production trading infrastructure * Incident investigation and root-cause analysis * Performance and capacity engineering * Deployment and configuration platforms * Networking and distributed systems * Removing operational work through software * Designing systems for resilience and failure recovery The best people in these teams don't simply react when something breaks. They understand why it broke, engineer the underlying problem away and build platforms that prevent entire classes of failures recurring.