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Lead DevOps Engineer - CI/CD/Cloud

Technology
Hire Global
1 month ago
Full time

Job description

Position : Lead Devops Engineer

Experience : 6 - 10 Years

Location : Bangalore

Employment Type : Full-Time

Position 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 systems.

Required Skills and Qualifications :

  • Bachelor's/Master's in Computer Science or related field
  • Strong expertise in :
  • CI/CD : Jenkins, GitHub, Azure DevOps
  • Version Control : Git (advanced workflows)
  • Cloud : AWS / Azure
  • Scripting : Python, Bash
  • Hands-on experience with Kubernetes and container orchestration
  • Strong troubleshooting, debugging, and RCA skills
  • Experience working in Agile environments

Key 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 assets.

Nice 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.
Keywords
OrchestrationScalabilityCloud computingLinuxDevOpsFault tolerancePythonCI/CDDebugger

Interested in this role?