Track Manager - AWS IAC, Terraform,Python

Job Summary

Devops Eng - AWS

Key Responsibilities

Design, implement, and optimize end-to-end CI/CD pipelines using tools such as Jenkins and GitHubDevelop and maintain Infrastructure as Code (IaC) using TerraformBuild 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 GroovyPerform 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 LambdaMonitor system performance, reliability, and cost efficiency, and implement improvementsCollaborate with development, security, and platform teams to drive DevOps best practices and standardsTroubleshoot complex system issues and lead root cause analysis

Skill Requirements

8+ years of experience in DevOps, Cloud Engineering, or related rolesStrong hands-on experience with:CI/CD tools (Jenkins, GitHub, or similar)Terraform for infrastructure provisioningKubernetes (EKS preferred)ArgoCD or GitOps-based deployment modelsProficiency in:Groovy scripting (Jenkins pipelines and shared libraries)Python scriptingExtensive experience with AWS cloud services and architecture patternsHands-on experience with AWS Lambda and serverless architecturesExperience working with AI/ML integrations, preferably using AWS BedrockStrong understanding of:Cloud networking and securityIAM, secrets management, and compliance best practicesMonitoring, logging, and observability too

Other Requirements

AWS Certified Solutions Architect – ProfessionalExperience with enterprise-scale CI/CD pipeline standardization and automationFamiliarity with platform engineering and site reliability engineering (SRE) practicesExperience working in large, distributed enterprise environmentsExposure to AI-driven DevOps automation or intelligent remediation