Description

Key Skills: AWS Cloud, Containerization (Docker, Kubernetes), IAC, DevOps, Kubernetes, Agentic AI, Orchestration, Copilot, Cloud Computing, AI Artificial intelligence

Roles and Responsibilities:

• Design, build and operate enterprise AWS and Kubernetes platform capabilities for cloud, hybrid, on-premises and edge environments.
• Lead technical design and implementation of reusable platform services, automation frameworks and operational capabilities.
• Establish scalable platform patterns covering cluster lifecycle management, networking, storage, security, secrets, certificates, observability, backup and recovery.
• Develop repeatable Infrastructure as Code and container platform deployment patterns that improve consistency, supportability and operational efficiency.
• Provide technical leadership, mentor engineering teams and contribute to platform roadmaps, architecture reviews and modernization programs.

Skills Required:

• 8 - 13 years of experience in Platform Engineering, Cloud Engineering, DevOps, Site Reliability Engineering or Infrastructure Engineering.
• Strong hands-on experience with DevOps practices and enterprise platform engineering across cloud and infrastructure environments.
• Advanced Kubernetes experience, including cluster lifecycle management, scaling, networking, ingress, storage integration, security controls and platform operations.
• Practical AWS Cloud experience building highly available, secure and scalable infrastructure and platform solutions.
• Experience with Infrastructure as Code and containerization using technologies such as Terraform, Docker and Kubernetes.

Good to Have:

• Cloud computing and enterprise orchestration experience, including GitOps, Argo CD, Helm, platform automation or distributed edge environments.
• Experience with artificial intelligence, AI/ML platforms, Agentic AI or Copilot technologies.

Education: B.E. in Computer Science or a related engineering discipline

Key Skills

Education

Any Graduate