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
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