Campus

Experience: 2 to 4 years

Location: Gautam Buddha Nagar, India

Skills: Kubernetes, EKS, AKS, GKE, OpenShift, Rancher, MCP servers, infrastructure-as-code, Terraform, Bicep, Pulumi, multi-model LLM endpoints, Claude, GPT, Gemini, Llama, Nemotron, PowerShell, Python, Bash, Go, .Net, Java, database concepts, database configurations, LLM APIs, RAG pipelines, Model Context Protocol, cloud certification, AWS SAA, AZ-104, GCP ACE

Job Summary
Hands-on cloud-native platform engineer responsible for building and maintaining the runtime, tooling, and integration plumbing that powers the AI Force AI Workbench and client modernization environments. This role keeps the GenAI-enabled modernization factory running — provisioning sandboxes, integrating MCP servers, and ensuring secure prompt delivery against client codebases.

Key Responsibilities
• Build and maintain Kubernetes-based environments (EKS, AKS, GKE, OpenShift, or Rancher) that host AI Force AI Workbench components.
• Configure and operate MCP servers that connect LLMs to client source repositories, ticketing systems, and documentation stores.
• Implement infrastructure-as-code (Terraform, Bicep, Pulumi) for repeatable client landing zones.
• Integrate multi-model LLM endpoints (Claude, GPT, Gemini, Llama, Nemotron) with secure prompt routing and guardrails.




• Support reverse-engineering runs against legacy codebases by preparing ingestion pipelines and embedding stores.
• Support AI Led application refactoring, re-platforming and re-write for legacy modernization.
• Participate in on-call rotation for the CNCoE shared platform.

Skill Requirements
• 2–4 years building and operating production cloud infrastructure on AWS, Azure, or GCP.
• Hands on skills on Prompt engineering, Langchain, LangGraph and Agentic application development.
• Proficiency in Code Assist tools like MS Co-pilot, Claude and Codex.
• Working knowledge of Kubernetes, containers, and Helm.
• Proficiency in at least one IaC tool (Terraform strongly preferred) and DevSecOps tools.
• Scripting in PowerShell, Python, Bash, or Go.
• Understanding of identity, secrets management, and network segmentation in cloud environments.
• Proficiency in .Net or Java application development and modernization.
• Proficiency in database concepts and database configurations.

Other Requirements
• Experience integrating LLM APIs or building RAG pipelines.
• Familiarity with the Model Context Protocol (MCP) or agent frameworks.
• Associate-level cloud certification (AWS SAA, AZ-104, GCP ACE).

GTM & Evangelism Contribution
Spins up demo environments and reference architectures used in client pursuits and conference demos.

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