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SASAP

T2/T3 DevOps Engineer for Sovereign Cloud Onsite / ApeiroRA / EU AI Projects(m/w/x)

Berlin, Garching bei München, Dresden, St. Leon-Rot
Part-time, Full-timeOn-siteSenior
AI/ML

Building enterprise cloud infrastructure for European data sovereignty and EU AI projects, using Go, OpenStack, Kubernetes. CKA, CKAD, or CKS certification required. Relocation support, moving process assistance.

Requirements

  • Deep hands-on experience operating Kubernetes clusters, managing workloads, upgrades, and platform components (ingress, service meshes, cert-manager)
  • CKA, CKAD, or CKS certification (strong plus)
  • Expert-level knowledge of OpenStack
  • Expert-level knowledge of multi-cloud environments with advanced container orchestration and multi-cluster federation
  • Mastery of cloud platforms (AWS, Azure, GCP)
  • Advanced Kubernetes management (multi-cluster operations, scaling, monitoring)
  • Experience with Infrastructure as Code tools (Terraform, Ansible)
  • Experience designing end-to-end CI/CD pipelines
  • Deep experience with Terraform, Pulumi
  • Experience building self-service developer platforms at hyperscaler grade
  • Proficiency in Go, Python, Bash, or other languages for complex automation
  • Advanced skills in Prometheus, Grafana, OpenTelemetry
  • Advanced skills designing SLI/SLO frameworks for distributed systems
  • 5–8 years in DevOps or infrastructure roles
  • Demonstrated ability to design, operate, and evolve Kubernetes-based platforms at scale
  • Proven ability to lead teams and drive infrastructure initiatives
  • Proven ability to diagnose and resolve complex distributed system issues using metrics and tracing tools (Prometheus, Grafana, Loki)
  • Skills in performance tuning, incident response, and automating operational resilience
  • Strong track record leading cross-functional teams
  • Mentoring junior engineers
  • Driving organizational adoption of best practices
  • Experience developing infrastructure roadmaps
  • Experience developing technology strategy
  • Experience managing thousands of workloads in multi-region environments
  • Awareness of industry standards related to security and compliance
  • Experience integrating regulatory requirements into architectural patterns
  • Experience working across cultures and languages
  • Strong communication skills for diverse, distributed teams
  • Excellent presentation skills
  • Excellent communication skills
  • Excellent problem-solving skills
  • Thorough way of working with accuracy
  • Proactive initiatives
  • Self-dependent and structured mode of working
  • High level of commitment and reliability
  • Readiness to work in a constantly changing, floating environment
  • Enjoyment working in a multinational team

Tasks

  • Build enterprise cloud infrastructure
  • Contribute to building a sovereign, privacy-first AI cloud
  • Enable secure AI model training and deployment
  • Develop solutions using Go, OpenStack, and Kubernetes
  • Build and maintain infrastructure automation
  • Implement CI/CD pipelines
  • Implement deployment automation for cloud services
  • Ensure reliable delivery of distributed systems components
  • Automate deployment and operation of container orchestration platforms
  • Automate deployment and operation of networking systems
  • Automate deployment and operation of storage solutions
  • Create robust automation for multi-region deployments
  • Ensure graceful handling of traffic spikes
  • Maintain high availability standards for customers
  • Support European organizations with mission-critical applications

Work Experience

  • 5 - 8 years

Education

  • Vocational certificationOR
  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Kubernetes
  • ingress
  • service meshes
  • cert-manager
  • OpenStack
  • AWS
  • Azure
  • GCP
  • Terraform
  • Ansible
  • Pulumi
  • Go
  • Python
  • Bash
  • Prometheus
  • Grafana
  • OpenTelemetry
  • Loki

Benefits

Other Benefits

  • Relocation support
  • Moving process assistance

Learning & Development

  • Constant learning
  • Skill growth

Flexible Working

  • Flexible working models

Ergonomic Workplace

  • Accessibility accommodations
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SAP and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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