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.

If you are considering sending an application, make sure to hit the apply button below after reading through the entire description.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. xwzovoh 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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