Campus-Competent

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๐Ÿ“ Gautam Buddha Nagar, India

About this role

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 โ€” 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.

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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.

Skill Requirements

2โ€“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.

Frequently Asked Questions

Is the salary disclosed for the Campus-Competent position at HCLTech?
The salary for this Campus-Competent role at HCLTech is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Campus-Competent position at HCLTech located?
This Campus-Competent role at HCLTech is based in Gautam Buddha Nagar, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
How do I apply for the Campus-Competent position at HCLTech?
Click the "Apply Now" button on this page. You will be redirected to HCLTech's official application portal hosted on successfactors where you can submit your application directly.
When was the Campus-Competent job at HCLTech posted?
This Campus-Competent position at HCLTech was posted on Aug 6, 2026. Apply as soon as possible โ€” early applications are often reviewed first.
Campus-Competent
HCLTech
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