Senior Site Reliability Engineer

Camunda is an enterprise platform for agentic orchestration that enables organizations to coordinate AI agents, people, and systems across complex business processes. The Senior Site Reliability Engineer will design and maintain a Kubernetes-based multi-cloud platform, improve monitoring and observability, drive automation, support incident response, and mentor other engineers.

Responsibilities:

• 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

Requirements:

• Deep hands-on experience with Kubernetes – You've built, deployed, and maintained Kubernetes clusters in production environments. You understand how to manage workloads, networking, and storage at scale
• Infrastructure as code expertise – You're fluent in tools like Terraform (or similar IaC tools) and know how to version, test, and safely deploy infrastructure changes
• Demonstrated experience in monitoring and observability – You've worked with tools like Prometheus, Grafana, or similar platforms to instrument systems and alert on what matters
• Strong 3rd-level support and incident response skills – You've responded to production incidents, diagnosed complex issues, and communicated clearly with stakeholders under pressure. You understand root cause analysis and how to prevent issues from happening again
• A passion for automation and raising the quality bar – You see manual work as a problem to be solved. You care deeply about building systems that are reliable, maintainable, and easy to understand
• Responsible use of AI tools – 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
• Experience with major cloud providers – You've worked with AWS (EKS), Google Cloud Platform (GKE), or similar managed Kubernetes services
• ArgoCD or GitOps workflows – You've used declarative, Git-driven infrastructure management to keep systems in sync
• Proficiency in Python, Go, or similar languages – You write scripts and automation tools that solve real problems
• Experience with SLOs and alerting frameworks – You've helped teams define meaningful service level objectives and set up alerts that don't cry wolf