The Engineer, Cloud specializes in architecting and automating secure, scalable Azure environments. Cloud Engineer supports enterprise data platform initiatives, including Azure Data Lake Storage Gen2, Azure Databricks, and related analytics services. This role is responsible for designing and operating the cloud infrastructure, networking, security, identity, governance, and platform services that enable scalable, secure, and compliant lake house and AI workloads. The Engineer supports the organization's analytics, machine learning, and AI initiatives by implementing and operating cloud infrastructure, networking, security, identity, and platform services that enable secure, scalable, and compliant data, analytics, and AI workloads. The role assists in supporting Azure Databricks, Azure Data Lake Storage Gen2, Azure Machine Learning, Azure OpenAI, and related cloud-native platform services under the guidance of senior engineering staff.
The Engineer, Cloud focuses on designing infrastructure-as-code solutions and is responsible for deploying core Azure services, managing hybrid workloads, and implementing infrastructure-as-code using Terraform, Bicep, and ARM templates. Ensures network security, cost optimization, and high availability across IaaS and PaaS resources. The Engineer ensures high availability, performance, and security across IaaS and PaaS services, including Azure App Services, AKS, SQL, and networking components. Supports observability, incident response, and compliance with regulatory standards through advanced monitoring, security tooling, and ITSM practices. In addition, the Engineer supports observability through telemetry, monitoring, and alerting strategies using Azure-native tools. The Engineer plays a key role in incident response, disaster recovery, and continuous compliance with industry and regulatory standards (e.g., HIPAA, SOC 2, ISO 27001). This position requires cross-functional collaboration with DevOps, Security, Software Engineering, and Compliance teams to drive operational excellence, automation maturity, and audit readiness.
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