DevOps Engineer
On-siteChennai, Tamil Nadu, India
Job Summary
Build, maintain, and scale continuous integration and delivery pipelines using Jenkins, Git, and automation tools. Implement and manage containerized applications with Docker and Kubernetes while automating infrastructure provisioning via Terraform and Ansible. Deploy, manage, and monitor cloud environments in Azure and Google Cloud, collaborating with development teams to streamline processes and reduce deployment time. Troubleshoot production and development issues to ensure system uptime, writing scripts in Groovy, Python, and Shell to automate tasks. Ensure monitoring, alerting, and logging solutions function effectively, contributing to improved DevOps practices. This role requires 0-3 years of experience with a Bachelor's degree or equivalent, offering full sponsorship and comprehensive benefits.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience
- Minimum of 2 years of experience in DevOps, Site Reliability Engineering (SRE), or related field
- Expertise in cloud infrastructure and modern DevOps practices
- Proven track record of working in agile development teams
- Problem-solving skills with the ability to address complex build & deployment issues
- Excellent communication skills to interact with cross-functional teams
- Proficient in Groovy or similar programming languages (Java, Python)
- Experience in Shell scripting for automation
- Experience with Git for version control and continuous integration
- Hands-on experience with Jenkins scripted pipelines with shared libraries for continuous integration and deployment
- Knowledge of Docker and Kubernetes for containerization and orchestration
- Experience with cloud platforms such as Azure and/or Google Cloud
- Familiarity with CI/CD pipeline creation and optimization
Desired Qualifications
- Exposure to Ansible, Terraform, Packer for automation and infrastructure management
- Familiarity with Helm, FluxCD, ArgoCD, or similar Kubernetes management tools
- Experience with Kustomize for Kubernetes configurations
- Knowledge of Azure DevOps, particularly Azure Pipelines for automating workflows
- Knowledge of monitoring tools like Prometheus, Grafana, New Relic, and similar platforms
- Interest or experience with AI technologies to automate system management and optimizations
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