Senior DevOps / MLOps Engineer
Ramblr · Dresden ·
- Work mode
- Remote
- Seniority
- Senior
- Category
- Devops
The Senior DevOps/MLOps Engineer will design and manage cloud-native infrastructure, automate system operations, and support the deployment and scaling of machine learning services using tools like Kubernetes and GitLab.
- Automate scalable system operations
- Build infrastructure as code
- Configure load balancing and scaling
- Containerize microservices
- Deploy machine learning services
- Design cloud-native infrastructure
- Implement CI/CD pipelines
- Implement secure privacy compliant systems
- Manage Kubernetes deployments
- Manage user accounts and data retention
- Operate hyperscaler infrastructure
- Set up GitLab DevOps workflows
- Support production machine learning systems
Perks/Benefits:
- Creative working environment
- Equity incentive plan
- Full responsibility
- International team