Description

Key Skills: Agentic AI, AWS, Azure, Python, Docker, Kubernetes, Cloud (AWS / Azure / GCP), Containerization (Docker, Kubernetes)

Roles and Responsibilities:

• Deploy and manage applications and AI model workloads on Azure and AWS.
• Build and maintain infrastructure using Infrastructure as Code (Terraform).
• Manage source code and collaboration workflows using Git/GitLab.
• Containerize and operate services using Docker and Kubernetes.
• Support CI/CD pipelines and secure operations including IAM, encryption, and network security.

Skills Required:

• 5 - 8 years of relevant experience in cloud engineering and production support
• Azure (hands-on cloud deployment and operations)
• AWS (hands-on cloud deployment and operations)
• Python (for cloud/automation and AI workload support)
• Agentic AI (hands-on exposure to agentic AI/GenAI application work)

Good to Have:

• Kubernetes and Docker for containerized deployments
• Terraform for Infrastructure as Code
• CI/CD pipeline know-how
• Security/vulnerability management including IAM, encryption, and network security
• GenAI model deployment experience on Azure OpenAI and AWS Bedrock
• SRE practices and operational readiness

Education: Any Graduation

Key Skills

Education

Any Graduate