Production Software Engineer

Overview

In this role you will drive resilience, observability and runtime efficiency for a real-time distributed platform. You will design tooling and workflows to support fast, safe software delivery and deploy automation across a federated engineering environment. You’ll work with software, infrastructure, front-office and research teams to improve stability, reduce operational risk and enable continuous improvement. This is a high-impact, hands-on role with a clear focus on production reliability and performance.

Pay / Benefits

• Highly competitive compensation plus annual discretionary bonus
• Lunch provided (Just Eat for Business) and barista bar
• 35 days’ annual leave
• 9% company pension contributions
• Informal dress code and good work-life balance
• Comprehensive healthcare and life assurance cycle-to-work scheme

Responsibilities

• Improve resilience and efficiency of real-time distributed systems by reducing bottlenecks and toil
• Develop tooling and frameworks for frequent, low-risk software delivery
• Own metrics, alerting and diagnostics infrastructure for monitoring the platform
• Build and maintain deployment automation, observability and runtime management systems
• Promote runtime engineering best practices across federated teams and establish fault tolerance standards
• Participate in shared production support rotation to respond to incidents and drive improvements
• Collaborate with application, research and execution teams to define runtime boundaries and production SLAs

Key requirements

• Strong software engineering background, ideally in distributed, real-time systems
• Experience with containerisation and orchestration (Kubernetes) in production
• Familiarity with observability tooling (Victoria Metrics, Prometheus, Grafana, OpenTelemetry, SLOs)
• Strong debugging skills to diagnose and resolve issues under time pressure
• Proven track record of fault-tolerant, high-availability platforms
• Experience delivering software in resource-constrained environments with CI/CD and deployment automation
• Comfort working in a federated model across multiple teams and product streams
• Focus on continuous improvement and reducing manual intervention
• Collaborative mindset across cross-functional teams
• Strong problem-solving and analytical abilities
• Effective communication under pressure
• Kubernetes in production
• Observability tooling: Victoria Metrics, Prometheus, Grafana, OpenTelemetry, SLOs
• Deployment automation

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