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Vacancy description

Lead DevOps Engineer - CI/CD/Cloud in Bangalore, भारत

Hire Global

  • Full-timeStandard weekly hours

Bangalore, भारत

Position : Lead Devops EngineerExperience : 6 - 10 YearsLocation : BangaloreEmployment Type : Full-TimePosition Overview : To lead the DevOps strategy for Automation platforms by building scalable CI/CD systems, enabling cloud-native deployments, and driving DevSecOps practices. This role ensures faster, reliable, and secure delivery of automation software across global mining https://jobeax.com/link/XU98LZCDud62tiC7 Skills and Qualifications : - Bachelor's/Master's in Computer Science or related field- Strong expertise in : 1. CI/CD : Jenkins, GitHub, Azure DevOps2. Version Control : Git (advanced workflows)3. Cloud : AWS / Azure4. Scripting : Python, Bash- Hands-on experience with Kubernetes and container orchestration- Strong troubleshooting, debugging, and RCA skills- Experience working in Agile environmentsKey Responsibilities :- Architect and maintain highly available, fault-tolerant infrastructure on AWS to ensure optimal performance for global client applications.- Design and implement end-to-end CI/CD pipelines using Jenkins to accelerate release cycles and reduce manual deployment overhead.- Orchestrate containerized applications using Kubernetes and Docker to improve resource utilization and application scalability.- Automate infrastructure provisioning and configuration management using Terraform and Ansible to ensure environment consistency across development, staging, and production.- Optimize system performance and troubleshoot complex production issues by leveraging deep Linux expertise and advanced monitoring tools.- Mentor junior engineers and foster a culture of automation and best practices to elevate the overall technical maturity of the DevOps team.- Collaborate with security teams to integrate compliance and security protocols directly into the deployment lifecycle to protect sensitive data https://jobeax.com/link/Jqj0ztGIZKgam92Q to Have : - Exposure to Embedded automation platforms- Understanding of MLOps / AI pipelines- Experience with edge computing- Knowledge of advanced deployment strategies- Familiarity with AUTOSAR / control systems. (ref:hirist.tech)

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