Project Description:
We are seeking an experienced DevOps Engineer with robust application expertise to manage and optimize Azure and AWS-based application environments. This offshore role requires a professional who can bridge the gap between development and operations while ensuring high availability, scalability, and security of cloud-based applications.
Responsibilities:
- Cloud Infrastructure Management: Design, deploy, and manage application environments on Azure and AWS platforms
- CI/CD Pipeline Development: Build and maintain robust continuous integration and deployment pipelines
- Application Monitoring: Implement comprehensive monitoring and alerting systems for application performance and health
- Infrastructure as Code: Develop and maintain infrastructure automation using tools like Terraform, ARM templates, or CloudFormation
- Container Orchestration: Manage containerized applications using Docker, Kubernetes, or similar technologies
- Security Implementation: Ensure security best practices across all application environments
- Troubleshooting:
Provide L2/L3 support for application and infrastructure issues
- Documentation: Maintain technical documentation for processes, procedures, and system architectures
- Collaboration: Work closely with development teams to optimize application deployment and performance
Mandatory Skills Description:
- Experience: 8 to 10 years of hands-on experience in DevOps and cloud technologies
- Cloud Platforms: Proficiency in both Azure and AWS services (VMs, App Services, Lambda, S3, RDS, etc.)
- Scripting Languages: Strong skills in Bash, Python, or similar
- CI/CD Tools: Experience with Jenkins, Azure DevOps, GitLab CI, or similar platforms
- Configuration Management: Knowledge of Ansible, Puppet, or Chef
- Monitoring Tools: Experience with Azure Monitor, CloudWatch, Grafana, or similar
- Version Control: Proficiency with Git and branching strategies
- Certifications: Azure Solutions Architect, AWS Solutions Architect,
📌 Senior DevOps Engineer (Mumbai)
🏢 Luxoft
📍 Mumbai