About this role
About the Role
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. What You'll Do
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Build and maintain Kubernetes-based environments (EKS, AKS, GKE, OpenShift, or Rancher) that host AI Force AI Workbench components.
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Configure and operate MCP servers that connect LLMs to client source repositories, ticketing systems, and documentation stores.
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Implement infrastructure-as-code (Terraform, Bicep, Pulumi) for repeatable client landing zones.
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Integrate multi-model LLM endpoints (Claude, GPT, Gemini, Llama, Nemotron) with secure prompt routing and guardrails.
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Support reverse-engineering runs against legacy codebases by preparing ingestion pipelines and embedding stores.
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Support AI Led application refactoring, re-platforming and re-write for legacy modernization
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Participate in on-call rotation for the CNCoE shared platform. What We're Looking For
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2–4 years building and operating production cloud infrastructure on AWS, Azure, or GCP.
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Hands-on skills on Prompt engineering, Langchain, LangGraph and Agentic application development
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Proficiency in Code Assist tools like MS Copilot, Claude and Codex
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Working knowledge of Kubernetes, containers, and Helm.
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Proficiency in at least one IaC tool (Terraform strongly preferred) and DevSecOps tools
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Scripting in PowerShell, Python, Bash, or Go.
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Understanding of identity, secrets management, and network segmentation in cloud environments.
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Proficiency in .Net or Java application development and modernization
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Proficiency in database concepts and database configurations
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Experience integrating LLM APIs or building RAG pipelines.
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Familiarity with Model Context Protocol (MCP) or agent frameworks.
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Associate-level cloud certification (AWS SAA, AZ-104, GCP ACE).
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GTM & Evangelism Contribution: Spins up demo environments and reference architectures used in client pursuits and conference demos.