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
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Operate, monitor and optimize production applications and infrastructure hosted in AWS.
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Detect, analyse and resolve incidents; participate in on-call rotations and post-incident reviews.
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Provision and manage infrastructure using Terraform / OpenTofu and maintain related codebases.
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Configure, maintain and optimise Kubernetes clusters and associated tooling.
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Deploy and manage containerised applications using Docker, Helm and GitOps workflows (Flux).
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Manage AWS security configurations including IAM roles, Secrets Manager and KMS.
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Support and troubleshoot PostgreSQL databases on AWS RDS in production contexts.
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Configure and enhance monitoring and logging solutions using Grafana and OpenSearch.
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Operate and optimise Kafka infrastructure using Amazon MSK (Serverless where applicable).
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Manage automated Kubernetes node scaling with Karpenter and optimise cloud resource usage.
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Automate operational tasks and dependency updates using Python, AWS Lambda and Renovate.
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Create and maintain runbooks, operating procedures and technical documentation for operations teams.
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Assess security findings and implement required patches, updates and mitigations.
Qualifications
Must have:
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Minimum 3 years of hands-on experience configuring and administering AWS cloud infrastructure for production applications.
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Experience in deploying and operating containerised applications on Kubernetes, Terraform or OpenTofu for automated infrastructure provisioning.
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Experience in production cloud operations, including monitoring, incident analysis and incident handling.
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Proficiency in German sufficient for technical communication (min B2 level)
Nice to have:
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Experience with Grafana and OpenSearch for monitoring, logging and technical error analysis.
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Experience with Helm and GitOps tools (Flux) for deployment and release processes.
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Experience with AWS IAM, Secrets Manager and KMS for security and permissions management.
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Experience automating tasks using Python, AWS Lambda and Renovate.
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Experience with PostgreSQL on AWS RDS, including connection and operational troubleshooting.
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Experience in operating Kafka infrastructure, preferably with Amazon MSK.
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Experience with Karpenter or equivalent node scaling solutions for Kubernetes.
Benefits
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Work on critical production systems with direct impact on railway operational processes.
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Opportunities for professional development in cloud infrastructure, platform engineering and automation.
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Remote work.
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Unique TEAL culture that values relationships and respect in a non-corporate atmosphere.
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Agile approach with minimal bureaucracy to help you move quickly and deliver value.
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Outstanding integration trips to various places in Europe.
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Activities to support well-being and health.
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Luxmed Gold Extended medical care and Multisport Plus benefit.
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