Site Reliability Engineer

We are looking for a highly skilled Engineer with expertise in Python programming, automation, and modern observability practices to help build and operate scalable distributed systems for an award-winning London Hedge Fund. This role sits at the intersection of platform engineering, AI tooling, and system reliability. You will design automation frameworks, develop AI-assisted engineering tools, and implement observability solutions that provide deep insights into complex distributed architectures.

Responsibilities

• Design, develop, and maintain robust automation solutions using Python.
• Build and maintain observability pipelines including metrics, logs, and traces across distributed systems.
• Develop internal AI-powered tools that enhance engineering productivity and operational intelligence.
• Implement monitoring, alerting, and diagnostics to improve system reliability, performance, and scalability.
• Integrate observability platforms with automation workflows and incident response systems.
• Collaborate with platform, infrastructure, data and development teams to improve system visibility and operational maturity.
• Design tooling that enables proactive detection, analysis, and remediation of system issues across distributed environments.
• Contribute to architecture decisions around telemetry, AI-assisted debugging, and automation frameworks.
• Support business users and stakeholders (direct) with system analysis, problem management, and technical resolution.

Skills & Experience

• Strong professional experience with Python development in production environments.
• Proven experience building automation frameworks, scripts, and developer tooling.
• Strong experience working with distributed systems and large-scale service architectures.
• Hands-on experience working with Kubernetes in production environments.
• Deep understanding of observability practices, including metrics, logs, tracing, and telemetry pipelines.
• Experience integrating AI or machine learning tooling into engineering workflows.
• Strong understanding of APIs, microservices, and containerised environments.
• Experience with CI/CD pipelines and infrastructure automation.
• Ability to design scalable, maintainable engineering tools.
• Experience in supporting business users directly, project or problem coordination with dev and infra teams, project ownership experience.

Interesting Technologies

• Observability: OpenTelemetry, Prometheus, Grafana, Elastic Stack (ELK), Jaeger
• Automation & CI/CD: GitHub Actions, Jenkins, GitLab CI, Argo Workflows
• Distributed Systems & Messaging: Kafka, Redis, gRPC

Offer

• World-class technology environment (award-winning) with best-in-class engineering teams.
• Fast-paced and low-bureaucracy culture – get stuff done mindset.
• Up to £150,000 base salary. 50%-100% annual cash bonus. Pension, Healthcare, Gym, Food, 30 days holiday etc.
• 4 days onsite, 1 day wfh.
• The chance to shape the future of intelligent automation and operational insight in distributed platforms.

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