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 teams.

Required 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 :

- Hands-on experience with RedHat OpenShift

- Certification in Azure (AZ-104, AZ-400), AWS (DevOps Engineer, Solutions Architect)

- Familiarity with serverless architectures and event-driven cloud services

- Experience with agile methodologies and DevOps culture