About the role:
At Camunda, our CI/CD infrastructure platform is treated as an internal product. Our mission is to build a platform that offers a Golden Path, enabling 150+ engineers across 20+ teams to deliver with world-class velocity and uncompromising quality at scale, that will allow Camunda engineers to focus on building the agentic technologies that will define our market leadership.
We are approaching a pivotal phase: an upcoming quality surge that will significantly increase testing volume and engineering throughput. Our platform must scale seamlessly, without increasing developer toil.
As an Infrastructure Engineer, you will be at the core of this transformation: designing, implementing, and running the CI/CD and artifact delivery systems. You’ll use your experience across cloud, Kubernetes, and GitHub Actions to scale our CI platform, and the artifact distribution systems.
This role does not have on-calls.
What You Will Do:
- Develop, operate, and scale the high-load Camunda’s Infrastructure Platform used daily by product teams for thousands of jobs.
- Ensure new product versions are reliably built and distributed to customers via our artifact storages.
- Identify and remove developer pain points in our infrastructure, iterating toward smoother, more sensible processes.
- Act as a service-oriented partner to product teams: provide platform capabilities, advise on best practices, and support them in adopting our tooling.
- Contribute to and help shape the team’s roadmap, technical decisions, and long-term vision for the platform.
What You Will Bring to the Role:
Must Haves:
- Growth mindset: Curious to learn, share knowledge, and continuously improve the systems and ways of working around you.
- Core infrastructure experience in:
- Container orchestration (production experience with Kubernetes required)
- Infrastructure as Code (any of: Terraform, Pulumi, Ansible)
- Cloud providers (any of: GCP, AWS, Azure)
- Experience in high-scale CI systems (e.g. GitHub Actions, Jenkins - with self-hosted runners)
- Programming skills: Comfortable with at least one general-purpose language (e.g., either of Python, Groovy, Go, JS, and/or Java).
- Proven ability to thrive in remote, asynchronous teams and work effectively across teams.
- Comfortable with using AI-first approaches in engineering.