Site Reliability Engineer

Overview

Our client, a leading proprietary trading firm specialising in both systematic and discretionary strategies, is seeking a Site Reliability Engineer to join their Zurich office. This is a unique opportunity to evolve and enhance a highly sophisticated production trading environment, ensuring exceptional uptime and performance. The role focuses on delivering code-driven solutions while partnering closely with developers and traders to strengthen reliability, observability, and overall operational maturity within a low-latency, high-performance ecosystem.

The ideal candidate will bring deep experience supporting highly available, performance-critical, latency-sensitive systems, alongside a strong understanding of Linux internals and networking. A solid background in reliability engineering is essential, with a clear automation-first mindset and hands-on experience with containerisation technologies.

• Reliability & Production Ownership:
  Own availability, stability, and performance of Linux-based trading systems (Red Hat, Rocky, Ubuntu).
• Incident Response:
  Lead incident management, on-call, and blameless post-mortems, driving automation to prevent recurrence.
• Operational Processes:
  Maintain runbooks, documentation, and standards for consistent production support.
• Production Readiness:
  Partner with developers and traders to ensure reliable, high-performance system design and deployment.
• Linux Systems & Performance:
  Perform low-level tuning (CPU, IRQ, memory, networking) for latency-sensitive workloads.
• Performance Diagnostics:
  Troubleshoot using perf, ftrace, tcpdump, and eBPF.
• Automation & Infrastructure:
  Deliver infrastructure as code with Ansible, Terraform, Python, and shell scripting.

• Experience in Site Reliability Engineering, Linux engineering, Dev Ops, or infrastructure-focused roles.
• Production Systems:
  Proven experience supporting highly available, performance-sensitive production environments.
• Linux Expertise:
  Deep knowledge of Linux internals, including scheduling, memory management, interrupts, file systems, and storage.
• Networking:
  Strong understanding of TCP/IP, UDP, multicast, and distributed systems networking.
• Automation & Tooling:
  Proficiency with Ansible, Terraform, Python, shell scripting, YAML/JSON, and Git-based workflows.
• Containers & Observability:
  Experience with Docker (or similar) and familiarity with observability tools such as Prometheus, Grafana, ELK, or equivalent.