onsite
Cloud Engineer - AI Services - LBBW
Devops Engineer
Lead the design, deployment, and optimization of AI-driven cloud solutions, leveraging AWS, Azure, and container orchestration to deliver scalable, secure, and high‑performance services.
About the role
Key Responsibilities
- Architect and implement AI services on cloud platforms (AWS, Azure) ensuring scalability, reliability, and security.
- Develop and maintain CI/CD pipelines, infrastructure as code (Terraform, ARM templates) and container orchestration (Kubernetes).
- Collaborate with data scientists to integrate machine‑learning models into production workflows.
- Monitor performance, troubleshoot incidents, and optimize resource utilization.
- Document best practices, design decisions, and operational procedures.
Requirements
- Proven experience as a cloud engineer with hands‑on work in AWS and Azure.
- Strong knowledge of AI/ML deployment pipelines and model serving.
- Hands‑on experience with Kubernetes, Docker, and CI/CD tools.
- Familiarity with IaC tools such as Terraform or ARM templates.
- Excellent problem‑solving skills and a proactive, collaborative mindset.
Skills
awsazuremachine learningkubernetesterraform