40 devops English-speaking jobs in Hesse

Good understanding of DB technologies: classic databases and modern no-SQL.Basic knowledge of DevOps

Strong knowledge of cloud infrastructure, networking, Kubernetes, containers, DevOps, Infrastructure ... Cloud certifications (AWS, Azure, GCP), VMWAre ITIL, SRE, DevOps, or related operational certifications

Experience with GitLab CI/CD pipelines and modern DevOps practices.

expertise in AWS-based cloud infrastructure, including security, service provisioning, and CI/CD and DevOps

plans/runbooks and managing dependencies using common tools (e.g., MS Project, Smartsheet, JIRA, Azure DevOps

DevOps skills including CI/CD, Infrastructure as Code (Terraform), monitoring, and release management

MEDDIC, SPIN, Challenger Sales)Familiarity with databases, devops and open source technology a plusDriven

Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).Experience in building/deploying

Experience working in DevOps environments, including technologies such as Kubernetes, Docker, and ContainerD

Experience with Jira, Confluence, Microsoft Project, Power BI, and Azure DevOps.

Waterfall software development methodologiesCORBA and XML technologiesPOSIX programmingCI/CD pipelines and DevOps

Experience with Azure DevOps, Jira, Confluence, Power BI or similar collaboration platforms.

KubernetesModern Architecture Design: Design Patterns and Methodologies: Embrace best practices in microservices, DevOps

closely with the AI CoE to exchange on methods and best practices as well as other teams, including DevOps

closely with the AI CoE to exchange on methods and best practices as well as other teams, including DevOps

Technical Depth: Deep understanding of cloud-native architectures, DevOps patterns, and security-by-design

Certifications and/or experience in Agile Delivery and DevOps would be desirable.

Certifications and/or experience in Agile Delivery and DevOps would be desirable.

cost‑efficient data pipelines Collaboration & enablement: Partner with Data Scientists, ML Engineers, AI CoE, DevOps

cost‐efficient data pipelinesCollaboration & enablement: Partner with Data Scientists, ML Engineers, AI CoE, DevOps