Staff Site Reliability Engineer (Platform Reliability)
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- Milano
- Tempo indeterminato
- Full time
- Think big picture: Frame complex infrastructure problems, propose clear solutions, and drive projects end-to-end on your own initiative
- Build solid things: Work with backend, data, security, and engineering efficiency teams to design, deploy, and maintain our infrastructure
- Write real code: Spend 20 to 40% of your time writing Go services, tools, and APIs, same standards as our backend engineers
- Cut out toil: Automate what can be automated, we aim for as little repetitive work as possible
- Own observability: Keep the platform visible and debuggable through logs, metrics, and tracing
- Be part of on-call: Join the rotation, lead post-incident reviews, and turn incidents into lasting fixes
- Help others grow: Share knowledge, challenge ideas, and be someone your teammates can learn from
- Design robust solutions at real scale : 25k pods, 86 microservices, 1300 deployments per month
- Full autonomy to propose and drive your own ideas using lean methodologies and a bottom-up approach
- Modern ways of working: GitOps, AI-assisted engineering microservices development, and the freedom to challenge the technical status quo
- Deep cross-team collaboration: spec reviews, brainstorming sessions, and problem-solving with backend, data, security, and more
- Experience: You have strong hands-on experience with cloud-native infrastructure in production, including managing Kubernetes clusters at scale
- Programming skills: You have solid Go experience (or equivalent) and are comfortable building tools, services, and automation, not just config files
- AI-driven engineering: You actively use AI tools to move faster, write better code, and solve infrastructure problems more efficiently, and you’re curious about what’s coming next
- Problem solver: You understand the full system before proposing a solution, dependencies, trade-offs, long-term impact. You anticipate problems, you don’t just react to them
- Team player: You share knowledge naturally, give clear feedback, and help less experienced engineers grow