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Metro Bengaluru, mid-level seniority, popular platform role with broad cloud/Kubernetes requirements.
Core cloud and DevOps skills are transferable, though MCP/agentic AI experience adds moderate domain specificity.
Explicit 5+ years, mandatory cloud/IaC/Kubernetes/AI integration skills enforce strict filtering.
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Design, implement, and optimize AWS-based cloud infrastructure including compute, storage, networking, security, and identity services.
Lead cloud platform modernization efforts and infrastructure transformation initiatives supporting enterprise technology services.
Provide technical leadership by mentoring engineers, managing platform projects, and integrating AI/ML workloads with Model Context Protocol (MCP) for AI-augmented workflows.
5+ years of hands-on experience in cloud platform or infrastructure engineering roles.
Deep expertise with AWS services (EC2, EKS, RDS, S3, VPC, IAM, Lambda, CloudWatch) and Kubernetes container orchestration (EKS required, AKS valued).
Proficiency with Infrastructure as Code tools including Terraform; experience with AWS CloudFormation and/or Azure ARM/Bicep.
On-site work location: Bengaluru, KA.
Experienced cloud professional with deep AWS expertise and strong multi-cloud knowledge (Azure/GCP experience valued).
Skilled in integrating AI/ML workloads including MCP server deployment and agentic frameworks in cloud environments.
Able to lead complex infrastructure projects independently with strong technical leadership and communication skills.