About the role
Your mission To support our growing team, we are looking for an experienced DevOps Engineer to join us. In this role, you will take both a strategic and hands-on approach to designing, building, and scaling our infrastructure. You will play a key role in optimizing performance, enabling secure access for both internal teams and customers, and continuously improving our systems in a cutting-edge AI infrastructure company. Design, build, and maintain scalable, production-grade infrastructure across cloud and on-premise environment Set up and manage Kubernetes clusters Build and optimize robust CI/CD pipelines (e.g. GitHub Actions) Automate infrastructure provisioning using tools like Terraform Ensure high availability, performance, and observability across all systems Implement secure access solutions for internal teams and customer environments (including on-prem deployments) Apply security best practices to protect infrastructure, pipelines, and intellectual property Collaborate closely with engineering and product teams to continuously improve systems and processes Drive improvements, introduce new technologies, and contribute to the DevOps roadmap Your profile Strong hands-on experience designing and operating Kubernetes clusters (cloud and/or on-premise) Solid background working with at least one major cloud provider (preferably AWS; Azure/GCP also welcome) Deep understanding of Linux systems and networking fundamentals Proven experience building and maintaining CI/CD pipelines in production environments Experience with Infrastructure as Code (e.g. Terraform) Familiarity with observability and monitoring tools (e.g. Prometheus, Grafana, Datadog) Ability to work independently, take ownership, and operate effectively with minimal onboarding Comfortable working across multiple parallel projects and adapting to new challenges Based in Germany, able to visit our Heidelberg office on a quarterly basis
Nice to have Experience with DevSecOps or MLOps practices Exposure to AI/ML infrastructure, data pipelines, or frameworks like TensorFlow or PyTorch Experience with OpenStack or multi-cloud environments Why us? Build something big: Help build and scale a fast-growing AI infrastructure startup Pay &
