Campus-Competent

HCL Technologies Limited; Gautam Buddha Nagar; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

HCLTech seeks a hands-on cloud-native platform engineer to build and maintain the runtime, tooling, and integration plumbing powering AI Force AI Workbench and client modernization environments. You will provision sandboxes, integrate MCP servers, and ensure secure prompt delivery for client codebases.

You will work with Kubernetes ecosystems, Terraform, and multi-model LLM endpoints, contributing to CNCoE operations and on-call rotations for ongoing platform reliability.

Qualifications

• 2–4 years building and operating production cloud infrastructure on AWS, Azure, or GCP.
• Hands-on experience with prompt engineering and multi-model LLM integrations.
• Proficiency with Kubernetes, containers, and Helm.
• Experience with IaC tools (Terraform strongly preferred) and DevSecOps.
• Scripting in PowerShell, Python, Bash, or Go.

Responsibilities

• Build and maintain Kubernetes-based environments hosting AI Workbench components.
• Configure MCP servers connecting LLMs to client repositories and docs.
• Implement infrastructure-as-code for repeatable client landing zones.
• Integrate multi-model LLM endpoints with secure prompt routing.
• Support ingestion pipelines and embedding stores for legacy modernization.
• Participate in on-call rotation for the CNCoE shared platform.

Skills

Cloud infrastructure

Kubernetes

IaC tooling

Prompt engineering

Scripting

Tools

Terraform

Helm

OpenShift

Job description

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.

Spins up demo environments and reference architectures used in client pursuits and conference demos.

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026totaled $14.8billion.