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.
Experience 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.
Remote work.
Unique TEAL culture that values relationships and respect in a non-corporate atmosphere.
Agile approach with minimal bureaucracy to help you move quickly and deliver value.
Outstanding integration trips to various places in Europe.
Activities to support well-being and health.
Luxmed Gold Extended medical care and Multisport Plus benefit.