DevOps Engineer - Azure / AWS Platform

Description :

Key Responsibilities :

• Design, implement, and manage cloud infrastructure on Azure (IaaS, PaaS) and AWS (IaaS, PaaS).
• Build and manage CI / CD pipelines using Azure DevOps, AWS CodePipeline, and other DevOps tools.
• Implement Infrastructure as Code (IaC) using Terraform, ARM / Bicep, AWS CloudFormation.
• Deploy, scale, and manage containerized applications using Kubernetes (AKS, EKS) and Docker.
• Work with RedHat OpenShift (nice to have) for enterprise container orchestration.
• Configure and manage cloud networking including VNets, VPCs, firewalls, load balancers, and VPNs.
• Implement security best practices including IAM, RBAC, secrets management, and compliance monitoring.
• Monitor, log, and optimize cloud applications using Azure Monitor, AWS CloudWatch, Grafana, Prometheus, and Log Analytics.
• Handle incident management, troubleshooting, and root cause analysis for cloud services.
• Automate operational tasks using PowerShell, Bash, and Python scripting.
• Support MLOps workflows, including ML model deployment, monitoring, and automation.
• Design and implement multi-region, high-availability architectures for critical workloads.
• Provide cloud solution architecture guidance and advisory to development and operations Skills :
• Strong expertise in Microsoft Azure (IaaS, PaaS) and AWS (IaaS, PaaS)
• Hands-on experience with Azure DevOps and AWS DevOps tools / CodePipeline
• Proficient in Infrastructure as Code (Terraform, ARM / Bicep, CloudFormation)
• Experience with Kubernetes (AKS, EKS) and Docker
• Strong understanding of cloud networking, firewalls, VPNs, and load balancing
• Knowledge of security best practices (IAM, RBAC, secrets management, compliance)
• Experience with CI / CD automation pipelines
• Monitoring and observability expertise with Azure Monitor, AWS CloudWatch, Grafana, Prometheus, Log Analytics
• Strong incident management and troubleshooting skills
• Scripting experience in PowerShell, Bash, Python
• Exposure to MLOps for model deployment and monitoring
• Experience designing multi-region, high availability cloud architectures
• Strong cloud solution architecture and advisory skills

Good to Have :

(ref : hirist.tech)