• Deploy, integrate, and operate high-performance storage for GPU-accelerated compute and AI platforms • Own the storage layer where Kubernetes meets bare metal — standing up NFS-based high-performance storage • Wire storage into clusters via CSI and tune for performance • Integrate NFS-based storage into Kubernetes clusters via storage classes and persistent volumes • Tune the NFS data path for high-throughput, low-latency GPU/AI workloads • Automate storage provisioning and configuration with infrastructure-as-code and GitOps pipelines • Diagnose and resolve performance, reliability, and scaling issues across the storage stack

• Design, deploy, and maintain Azure cloud infrastructure using Terraform and Infrastructure as Code (IaC). • Ensure the reliability, scalability, security, and availability of Azure platform services. • Build and maintain monitoring, dashboards, alerts, and observability solutions. • Develop and maintain CI/CD pipelines using Azure DevOps and GitHub Actions. • Automate infrastructure provisioning and deployments following Infrastructure as Code best practices. • Troubleshoot and resolve complex production infrastructure incidents. • Collaborate with architects, developers, and platform engineers to deliver secure and scalable cloud solutions. • Manage Azure networking resources, including VNets, Private Endpoints, DNS, and connectivity services. • Continuously improve platform reliability through automation and operational excellence. • Mentor engineers and promote Site Reliability Engineering and Infrastructure as Code best practices. • Maintain technical documentation, operational runbooks, and platform standards.

• Design, configure, validate, and maintain Azure DevOps CI/CD pipelines. • Build and maintain reusable YAML templates and pipeline components. • Develop and maintain Infrastructure as Code solutions using Terraform. • Configure Policy-as-Code gates using Checkov, TFLint, and OPA/Rego. • Integrate Azure Key Vault for secure secrets management. • Configure workload identity and secure authentication for deployment pipelines. • Support infrastructure deployments, rollback procedures, and pipeline troubleshooting. • Collaborate with application teams to improve deployment workflows. • Maintain technical documentation for pipelines, infrastructure, and deployment standards. • Drive automation initiatives and continuous platform improvements while ensuring security and compliance.

• Provide support, manage, and maintain Azure data resources, including Azure SQL, Synapse, Azure Data Factory, Databricks, and Unity Catalog. • Monitor Azure workloads, data pipelines, reporting services, alerts, incidents, and performance bottlenecks. • Deliver Level 2/Level 3 support for data pipelines, reports, cloud services, platform incidents, and routine operations. • Implement and manage RBAC, IAM, identity policies, access controls, and compliance requirements for the platform. • Lead incident response, root cause analysis (RCA), problem management, and proactive remediation of platform issues. • Automate support and operational tasks using PowerShell, Azure CLI, Terraform, Python, Bash, and KQL. • Collaborate with cloud engineers, data engineers, BI developers, DevOps teams, architects, and security teams.