Duties:
Design and Implement DevOps Practices: Develop strategies for collaboration, code, infrastructure, source control, security, compliance, continuous integration, testing, delivery, monitoring, and feedback using Azure technologies.
CI/CD Pipeline Management: Create and manage continuous integration and continuous deployment (CI/CD) pipelines to ensure efficient and reliable software delivery.
Automation: Implement automation tools and frameworks for infrastructure provisioning, configuration management, and application deployment.
Monitoring and Performance Optimization: Monitor systems, identify performance bottlenecks, and implement solutions to enhance system performance and reliability.
Security and Compliance: Ensure the security and compliance of the Azure environment by implementing best practices and adhering to organizational policies.
Collaboration: Work closely with development and operations teams to streamline code releases and improve the overall development lifecycle.
Technical Support: Provide technical support and troubleshooting for infrastructure-related issues.
Documentation and Training: Develop and maintain design and troubleshooting documentation, and provide training and support to internal teams and stakeholders.
Required Skills:
Experience: 8+years of proven experience as an Azure DevOps Engineer or in a similar role.
Skills:
Proficiency in Azure services and DevOps tools (4 Years).
Strong understanding of CI/CD pipelines and automation tools ( 4 Years).
Experience with infrastructure as code (IaC) using tools like Azure Resource Manager (ARM) templates, Terraform, or similar.
Knowledge of scripting languages such as PowerShell, Bash, or Python(2 years).
Experience with setting incremental build for SAST/DAST tools ( 2 years )
Experience with GCC and CMake ( 2 years )
Knowledge of Yocto and Embedded Linux is desired.
Preferred Qualifications:
Certifications: Azure DevOps Engineer Expert, Microsoft Certified: Azure Administrator Associate, or similar certifications.
Experience: Experience with other cloud platforms (e.g., AWS, Google Cloud) and multi-cloud environments
Bachelor’s degree in computer science and engineering or a related field.
Hybrid work model:
In-office on Monday, Wednesday, and Friday.
Working Time:
2 PM IST to 11 PM IST
Work Location
: Pune
All your information will be kept confidential according to EEO guidelines.
