Site Reliability Engineer - Tier-1 Quantitative Trading Company

Hamilton Barnes
London, UK
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Computing Platforms C++ (Programming Language) Configuration Management Computer Programming Continuous Integration Linux Distributed Systems Python (Programming Language) Performance Tuning Reliability Engineering Site Reliability Engineering Practices Software Engineering
+5 more
System Availability Git Containerization Kubernetes Infrastructure Automation Frameworks

Job description

We’re partnering with a leading technology-driven trading firm to hire a Site Reliability Engineer to join its Platform Engineering team in London. This role sits at the intersection of software engineering and infrastructure, focusing on building the internal platforms, tooling and automation that support a global production environment.

You’ll work across Linux, distributed systems and cloud-native technologies, developing scalable tooling that improves reliability, observability and operational efficiency. It’s an excellent opportunity for an engineer who enjoys solving infrastructure problems through software rather than manual administration., * Design and develop internal infrastructure tooling and automation.

  • Build and maintain monitoring, observability and configuration management platforms.
  • Improve platform reliability, scalability and operational efficiency.
  • Troubleshoot performance issues across complex distributed systems.
  • Support application deployments using modern CI/CD pipelines and Kubernetes.
  • Collaborate with engineering teams to improve infrastructure and developer workflows.
  • Contribute to platform architecture and ongoing technical improvements.

Requirements

  • Strong experience programming with Python, Go and/or C++
  • Strong Linux knowledge and understanding of distributed systems.
  • Experience with monitoring, observability or SRE practices.
  • Experience with CI/CD pipelines, Git and infrastructure automation.
  • Familiarity with Kubernetes and containerised workloads.
  • Strong analytical and troubleshooting skills.

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Good distractions

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