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Salary
≈ $16k – $37k per year (Estimated)
Location
In office (Noida)
Seniority
Staff · 8+ years exp

Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Oct 13, 2026.

Overview
Company
Impact
Profile match
HCLTech is a major Indian multinational information technology (IT) services and consulting company headquartered in Noida, Uttar Pradesh. Spun off from the original HCL Group in 1991, it ranks as one of India's largest technology companies alongside firms like TCS, Infosys, and Wipro.

Job Summary

Devops Eng - AWS

Key Responsibilities

Design, implement, and optimize end-to-end CI/CD pipelines using tools such as Jenkins and GitHub Develop and maintain Infrastructure as Code (IaC) using Terraform Build and manage containerized platforms using Kubernetes (EKS) for high availability and scalabilityImplement GitOps practices using ArgoCD to enable automated continuous deliveryDevelop and maintain Jenkins pipelines and shared libraries using Groovy Perform automation using Python scripting and other scripting languagesDesign and implement secure, scalable AWS architectures following best practicesBuild and integrate AI-powered solutions using AWS Bedrock, including:Knowledge basesRetrieval-Augmented Generation (RAG) pipelinesData source integrationsDevelop and maintain serverless applications using AWS Lambda Monitor system performance, reliability, and cost efficiency, and implement improvementsCollaborate with development, security, and platform teams to drive DevOps best practices and standards Troubleshoot complex system issues and lead root cause analysis

Skill Requirements

8+ years of experience in DevOps, Cloud Engineering, or related roles Strong hands-on experience with: CI/CD tools (Jenkins, GitHub, or similar)Terraform for infrastructure provisioning Kubernetes (EKS preferred)ArgoCD or GitOps-based deployment models Proficiency in: Groovy scripting (Jenkins pipelines and shared libraries)Python scripting Extensive experience with AWS cloud services and architecture patterns Hands-on experience with AWS Lambda and serverless architectures Experience working with AI/ML integrations, preferably using AWS Bedrock Strong understanding of:Cloud networking and securityIAM, secrets management, and compliance best practicesMonitoring, logging, and observability too

Other Requirements

AWS Certified Solutions Architect - Professional Experience with enterprise-scale CI/CD pipeline standardization and automation Familiarity with platform engineering and site reliability engineering (SRE) practicesExperience working in large, distributed enterprise environments Exposure to AI-driven DevOps automation or intelligent remediation

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