We are seeking a DevOps Engineer with German language skills to operate, maintain and improve production cloud infrastructure and applications. The person in this role will be responsible for AWS-based deployments, Kubernetes cluster operation, infrastructure as code, and incident response for systems supporting railway operational processes.
Responsibilities
- Operate, monitor and optimize production applications and infrastructure hosted in AWS.
- Detect, analyse and resolve incidents; participate in on-call rotations and post-incident reviews.
- Provision and manage infrastructure using Terraform / OpenTofu and maintain related codebases.
- Configure, maintain and optimise Kubernetes clusters and associated tooling.
- Deploy and manage containerised applications using Docker, Helm and GitOps workflows (Flux).
- Manage AWS security configurations including IAM roles, Secrets Manager and KMS.
- Support and troubleshoot PostgreSQL databases on AWS RDS in production contexts.
- Configure and enhance monitoring and logging solutions using Grafana and OpenSearch.
- Operate and optimise Kafka infrastructure using Amazon MSK (Serverless where applicable).
- Manage automated Kubernetes node scaling with Karpenter and optimise cloud resource usage.
- Automate operational tasks and dependency updates using Python, AWS Lambda and Renovate.
- Create and maintain runbooks, operating procedures and technical documentation for operations teams.
- Assess security findings and implement required patches, updates and mitigations.
Qualifications
Must have:
- Minimum 3 years of hands-on experience configuring and administering AWS cloud infrastructure for production applications.
- Experience in deploying and operating containerised applications on Kubernetes, Terraform or OpenTofu for automated infrastructure provisioning.
- Experience in production cloud operations, including monitoring, incident analysis and incident handling.
- Proficiency in German sufficient for technical communication (min b2 level)
Nice to have:
- Experience with Grafana and OpenSearch for monitoring, logging and technical error analysis.
- Experience with Helm and GitOps tools (Flux) for deployment and release processes.
- Experience with AWS IAM, Secrets Manager and KMS for security and permissions management.
- Eexperience automating tasks using Python, AWS Lambda and Renovate.
- Experience with PostgreSQL on AWS RDS, including connection and operational troubleshooting.
- Experience in operating Kafka infrastructure, preferably with Amazon MSK.
- Experience with Karpenter or equivalent node scaling solutions for Kubernetes.
Benefits
- Work on critical production systems with direct impact on railway operational processes.
- Opportunities for professional development in cloud infrastructure, platform engineering and automation.