DevOps Engineer 4- 4P/421

This role focuses on designing, deploying, and maintaining cloud-based infrastructure and CI/CD pipelines to support machine learning, data, and web application workflows., * Design, implement, and maintain infrastructure as code (IaC) using Azure Resource Manager (ARM), Bicep, or Terraform.

• Automate deployment, monitoring, and scaling of cloud resources using Azure CLI, PowerShell, and Python scripts.
• Build and maintain CI/CD pipelines to support ML models, data workflows, and web applications.
• Manage and optimize containerized applications using Docker and Kubernetes.
• Ensure observability and performance monitoring using Azure Monitor, Log Analytics, and Application Insights.
• Collaborate with development, security, and infrastructure teams to ensure reliable, scalable, and secure deployments.
• Support incident response, troubleshooting, and root cause analysis for production systems.
• Implement and enforce DevOps best practices, including version control, release management, and configuration automation.

DevOps, DevOps, Machine Learning, Cloud Computing, Internet Application, Continuous Integration, Continuous Deployment/Delivery, Microsoft Windows Azure, ARM (Advanced RISC Machine), Scripting (Scripting Languages), The ideal candidate will have strong hands-on experience with Azure environments, automation scripting, and infrastructure-as-code tools such as ARM, Bicep, or Terraform.

The position requires excellent technical knowledge, problem-solving abilities, and the ability to collaborate effectively across cross-functional teams including software, data, and operations., * Bachelor’s degree in Computer Science, Information Technology, or related field.

• Proven experience as a DevOps Engineer or in a similar role supporting cloud-based web applications.
• Strong expertise with Microsoft Azure (preferred) or other cloud platforms (AWS/GCP).
• Proficiency in scripting languages such as Python and PowerShell.
• Experience with automation and configuration management tools.
• Working knowledge of containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with CI/CD tools and version control systems (e.g., Git, GitHub Actions, Azure DevOps).
• Solid understanding of networking, security, and performance optimization principles.
• Excellent problem-solving, analytical, and communication skills., * Azure Resource Manager (ARM), Bicep, or Terraform for IaC.
• Azure CLI, PowerShell, Python for scripting deployments.
• CI/CD pipeline design for ML, data, and application workflows.
• Azure Monitor, Log Analytics, Application Insights for observability.