Dev- ML-Ops- / Cloud- Engineer (m/w/d)
Tasks
- Automate infrastructure processes
- Build cloud ai erp solutions
- Deploy argo cd and argo workflows
- Deploy with Docker and Kubernetes
- Implement infrastructure-as-code
- Manage GitOps deployments
- Modernize cloud infrastructure
- Monitor and scale llm infrastructure
- Optimize cost and stability
- Provision GPU and LLM stacks
- Set up CI/CD pipelines
Perks/Benefits
- Career development
- Flexible work arrangements
- Flexible working hours
- Hybrid work
- Modern workplace
- Project success participation
- Remote work
Skills/Tech-stack
Ansible | Argo CD | Argo Workflows | Auto Scaling | CI/CD | CUDA | Docker | Git | GitLab CI | GitLab CI/CD | GitOps | Infrastructure as Code | Kubernetes | LLM | Monitoring | NVIDIA GPU | Terraform | “as-code”
Education
N/A
Roles
Cloud Engineer | Cloud) | DevOps | DevOps Engineer | Engineer | MLOps Engineer
Regions
Countries
States
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