Senior Site Reliability Engineer

We're looking for a Senior Site Reliability Engineer who's passionate about building reliable, scalable infrastructure that helps developers ship better software faster. You'll design and maintain our Kubernetes-based multi-cloud platform, improve our monitoring and observability tools, and collaborate with product and engineering teams to solve real problems in real time. This is a role where you'll own the systems that power Camunda, drive automation that raises the bar for everyone, and mentor others who want to do the same. If you thrive on building things that work well and don't break when they shouldn't, we'd love to talk.

What You’ll Be Doing:

• Design and maintain our infrastructure – You'll evolve our Kubernetes-based, multi-cloud platform architecture, ensuring it's available, scalable, and fault-tolerant. You'll establish configuration best practices and network services that our teams rely on.
• Build observability that matters – Implement and improve monitoring and alerting tools that give both SREs and developers real visibility into system health and performance. Make it easy for teams to understand what's happening across our stack.
• Own your systems end-to-end – You'll adopt a "you build it, you run it" mentality, which means participating in on-call rotations and being the go-to person when things need quick fixes. You'll create runbooks and automation that turn complex problems into manageable processes.
• Ship features and improvements with product teams – Work cross-functionally with product engineering, product management, and support to define and deliver features that move the needle. Bring your expertise to the table early and often.
• Push automation to the next level – Identify repetitive work and automate it away. Share what you learn with your teammates so everyone gets better at their craft. We measure progress by the quality of our systems, not hours worked.
• Be the expert others learn from – Help less experienced engineers tackle complex infrastructure challenges. Break down technical problems into clear steps and support others in growing their skills.
• You leverage AI for research, code review, documentation, test generation, and automation to improve your effectiveness. You know how to validate AI outputs against requirements, never share confidential or personal data with AI systems without authorization, and always retain human accountability for decisions and deliverables.

Nice-to-haves: