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# DevOps Engineer -

- **Company:** voize GmbH
- **Location:** Frankfurt am Main, Germany (Remote available)
- **Contract:** Permanent contract
- **Skills:** Audit Trail, Continuous Integration, Linux, DevOps, Monitoring of Systems, Key Management, Linux System Administration, Machine Learning, Language Modeling, Ansible, Prometheus, Data Processing, Grafana, Cloudformation, Kubernetes, Data Pipelines, AWS EKS
- **Published:** May 15, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=973a6a73658aa676

## About the Role

Do you have experience in Linux?, * Strong experience operating Kubernetes in production (cluster operations, troubleshooting, networking, storage)

 * Experience with GitOps workflows
 * Experience working with monitoring and observability stacks
 * Security-minded - you have strong understanding of encryption, access controls, secrets management
 * Solid Linux systems administration skills, and experience with CI/CD pipeline design and maintenance.
 * You are comfortable with taking shifts in on-call rotations. We typically share a time zone with our customers (currently CET, with potential growth to EST).

## Description

* Own and operate our Kubernetes clusters (AWS EKS production, bare-metal K3s for ML training, on-premises appliances running K3s) using GitOps (FluxCD) and Infrastructure as Code (CloudFormation, Ansible)
 * Manage the lifecycle of on-premises gateway appliances deployed at customer sites - VM image builds, TLS certificate automation, staged rollouts via GitOps, remote monitoring and troubleshooting
 * Build and maintain monitoring, alerting, and observability infrastructure (Prometheus, Grafana, Loki, Tempo, OpenTelemetry) across cloud and edge environments
 * Drive compliance automation - security hardening, access controls, audit logging, encrypted secrets management (SOPS/KMS), and evidence collection for C5, HIPAA, and HDS certifications
 * Support and scale ML training and data processing infrastructure - GPU cluster management, training job orchestration, and data pipeline reliability, working closely with the ML team to power state-of-the-art speech and language models
 * Incident response - detection, triage, resolution, and post-incident reviews for infrastructure issues.


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