Requirements

• Deep SRE experience including SLI and SLO definition, error budget management, and incident response ownership through blameless retrospectives.
• Fluency with AI as an engineering tool: building agents and automation, working with MCP servers or equivalents, and understanding when human involvement is needed.
• Strong software engineering skills in Python, writing tested and maintainable code that others can run and extend.
• Experience with observability tools such as OpenTelemetry and Datadog.
• Proficiency with AWS at scale and Kubernetes-based platforms managed through Infrastructure as Code.

Nice to Haves

• Experience with Istio, Crossplane, and ArgoCD (training provided).
• Experience running ML or AI workloads in production, including model serving or feature pipelines.
• Experience as a sole delivery owner and understanding the responsibilities involved.

What you'll be doing

• Build and embed the Site Reliability Engineering function, making reliability, observability, and operational excellence core concerns.
• Act as the dedicated SRE supporting roughly 120 engineers, owning frameworks, instrumentation, and AI tooling to enable team service ownership and on-call responsibilities.
• Improve alert quality, create executable runbooks, and enhance diagnostics to enable issue resolution without direct SRE involvement.
• Advocate for reliability with Product and Engineering using data-driven decisions to prioritize platform health alongside delivery commitments.
• Define and implement reliability standards such as SLIs, SLOs, error budgets, and production readiness criteria with measurable adoption.
• Automate standards enforcement through guardrails in CI, reliability checks on pull requests, and safe defaults in shared infrastructure.
• Develop SRE capabilities on Zego’s AI platform by extending MCP servers and agents, ensuring machine-readable runbooks and structured telemetry.
• Own observability practice focusing on instrumentation design, signal quality, cardinality, and cost management.
• Enhance incident response processes from detection to retrospective, using AI to reduce toil and focus responder effort on judgement.
• Measure and reduce toil with tooling that others can operate independently.

Perks and Benefits

• Market-competitive salary with annual reviews based on function benchmarks.
• Annual performance bonus tied to company performance and personal contribution.
• Share options providing a real stake in the company and its future.
• Private medical insurance.
• Generous pension, holiday allowance, and £1,000 yearly budget for commuting or learning.
• Access to cutting-edge systems and tools to maximize impact.