zego - Lead Site Reliability Engineer
Requirements
• Deep SRE experience: SLI and SLO definition, error budget management, and ownership of incident response through to blameless retrospectives. • Fluency with AI as an engineering tool rather than a chat window: building agents and automation, working with MCP servers or equivalent, and judgement about where an agent can act and where a human stays in the loop. • Strong software engineering in Python, writing tested, maintainable code that other engineers can run and extend. • Observability depth with OpenTelemetry and Datadog. • AWS at scale, and Kubernetes based platforms managed through Infrastructure as Code. • Istio, Crossplane and ArgoCD. We run all three and will teach the specifics to the right person. • Running ML or AI workloads in production, such as model serving or feature pipelines. We do this at Zego and you would help support it. • Having been a sole delivery owner somewhere, and knowing what that does and does not mean. • THE ZEGO WAYS OF WORKING 🏡 • Teams work better with time to collaborate and space to get things done. We call it Zego Hybrid: some of us are in our office (central London or Halifax) weekly, others monthly or quarterly. It's about finding the balance between face time and focus that produces great work and a healthy life around it. • We also make a point of getting everyone in the same room. Teams come together every quarter, and once a year the whole company does, properly. It's a serious investment and consistently one of the best parts of the year. • Here is what the last one looked like https://www.youtube.com/watch?v=QKOYDx6AMxQ.
Responsibilities
• Define and land the reliability standard: SLIs, SLOs, error budgets and production readiness criteria that teams apply to their own services, with adoption measured rather than assumed. • Encode standards into automation rather than enforcing them by hand. Guardrails in CI, agents that check reliability and observability posture on pull requests, and safe defaults in shared infrastructure so the reliable path is the easy path. • Build SRE capability on Zego's AI platform, extending our MCP servers and agents, and making the estate legible to them through machine readable runbooks, structured telemetry and diagnostics an agent can act on. • Own observability as a practice, including instrumentation design, signal quality, cardinality and cost. • Raise the standard of incident response end-to-end, from detection and triage through to retrospectives that produce change. Put AI to work where it pays off most, stripping toil out of incidents so responders can focus on judgement • Measure toil, publish it, and remove it through tooling that others can run without you. • What you will need to be successful in the Role • We are looking for an engineer who lives SRE and DevOps culture, and treats AI tooling as a default part of how the work gets done, not a side experiment. You will engage and empower teams through decisions grounded in data, and you will be as comfortable building with AI as consuming it: extending MCP servers, writing agents, and automating the operational work that would otherwise fill your week. We treat reliability at Zego as a platform capability, so we care more about what you can make repeatable for others than what you can fix yourself.
Benefits
• 💰 Market-competitive salary, benchmarked against your function and reviewed every year. • 🏆 Annual performance bonus, linked to company performance and your contribution. • 📈 Share options, a real stake in the company and a share in the future you build • 🩺 Private medical insurance. • 🏖️ Pension, generous holiday, and £1,000 a year to spend on getting to the office or learning something new. • 💻 Cutting-edge systems and tools, so you always have what you need to drive your impact. • Ready to do the most impactful work of your career? We want to hear from you. • Zego, leading the AI evolution in insurance. • EQUAL OPPORTUNITIES 🌈
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