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Lead DevOps Engineer - GEXL - Chennai

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Job Description - Lead DevOps Engineer - GEXL - Chennai


Job Title: Lead DevOps Engineer
Experience: 8-12 Years
Location: Chennai/Hybrid

About the Company:
Our Client is a German-based technology company founded in 2000, offering a high-performance, in-memory, massively parallel processing (MPP) analytics database for data warehousing, business intelligence, and artificial intelligence (AI)/machine learning (ML) workloads

Job Summary  
We are looking for a Lead DevOps Engineer with strong hands-on experience in AWS and on-prem infrastructure. The role requires a senior individual contributor who can build, automate, and manage scalable infrastructure, CI/CD pipelines, and cloud-native platforms. Strong troubleshooting and ownership mindset are key.

Key Responsibilities  

  • Design, build, and manage AWS infrastructure and hybrid (cloud + on-prem) environments

  • Implement Infrastructure as Code (IaC) using Terraform / CloudFormation

  • Automate infrastructure and operations using Python, Bash, and Ansible

  • Build and maintain CI/CD pipelines (GitHub Actions, Jenkins, ArgoCD, etc.)

  • Manage containerized platforms using Docker and Kubernetes

  • Set up monitoring, logging, and alerting systems

  • Handle production issues and lead incident resolution

  • Implement DevSecOps best practices including access control and secret management

  • Collaborate closely with engineering, QA, and IT teams to improve developer experience

Required Skills  

  • 8+ years of experience in DevOps / Platform Engineering

  • Strong Linux expertise (Ubuntu / CentOS / Rocky Linux)

  • Hands-on experience with AWS, Kubernetes, Terraform, and CI/CD tools

  • Strong scripting skills in Python and Bash

  • Experience with monitoring tools like Prometheus, Grafana, ELK, Datadog, or CloudWatch

  • Experience managing hybrid infrastructure (cloud + on-prem)

Good to Have  

  • Experience with security-focused architectures (DevSecOps / Zero Trust)

  • Exposure to large-scale or distributed systems




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