Hire Global
Lead DevOps Engineer - CI/CD/Cloud
- Compensation
- Not disclosed
- Location
- Bangalore
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Full time
- Experience
- 6+ years
- Category
- Devops
- Posted
Skills
Full 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.