onsite
DevOps Engineer - AI Infrastructure Remote - auteega Gmbh
Devops Engineer
Lead the design, deployment, and scaling of AI workloads on cloud platforms, building robust CI/CD pipelines, container orchestration, and monitoring solutions to ensure high availability and performance.
About the role
Key Responsibilities
- Architect and maintain scalable AI infrastructure on cloud platforms (AWS, GCP, or Azure).
- Design, implement, and manage CI/CD pipelines for model training, testing, and deployment.
- Containerize AI services using Docker and orchestrate with Kubernetes.
- Implement Infrastructure as Code with Terraform or similar tools.
- Set up monitoring, logging, and alerting for AI workloads.
- Collaborate with data scientists and ML engineers to optimize resource usage and cost.
Requirements
- Proven experience as a DevOps Engineer in a cloud‑native environment.
- Solid knowledge of Infrastructure as Code (Terraform, CloudFormation).
- Experience with AI/ML model deployment and monitoring.
- Strong scripting skills (Python, Bash) and familiarity with cloud services.