Description

Lead end-to-end deployment, automation, and operational enablement of enterprise-scale cloud, data, and AI platforms across Azure and AWS.

This role is remote.

Responsibilities

• Own deployment architecture and operational readiness for non-production and production environments across Azure and AWS.
• Design and optimize enterprise-grade CI/CD pipelines for application, data, and AI workloads using Azure DevOps or GitHub Actions.
• Deploy and manage containerized platforms on AKS, handling cluster configuration, scaling, and workload isolation.
• Operationalize Databricks and Microsoft Fabric environments, supporting lake house architectures and analytics pipelines.
• Implement Infrastructure as Code (Terraform, ARM/Bicep) and enforce security, monitoring, and compliance standards.

Required Skills

• 8+ years of experience in Cloud, DevOps, or Deployment Engineering.
• Deep expertise in Azure Cloud (compute, networking, security, governance).
• Production deployment and operations of Azure Kubernetes Service (AKS).
• Experience deploying solutions using Azure OpenAI Service.
• Hands-on deployment and operational understanding of AWS Cloud.
• Proficiency with CI/CD platforms such as Azure DevOps, GitHub Actions, or Jenkins.
• Strong command of Infrastructure as Code tools: Terraform, ARM templates, Bicep, or CloudFormation.
• Experience with Databricks enterprise deployment and Microsoft Fabric.
• Familiarity with monitoring tools like Azure Monitor, Log Analytics, CloudWatch, or Prometheus.

Preferred Skills

• Experience in regulated or audit-driven environments.
• Proven track record supporting production enterprise systems at scale.

Key Skills

Education

Any Graduate