Cloud Engineer

Analytica is seeking a Mid-Level Cloud Engineer (Azure) to design, deploy, and maintain secure, scalable cloud infrastructure supporting federal data, analytics, and AI modernization initiatives. This role is hands-on and delivery-focused, working within established Azure architectures to implement cloud infrastructure, automate deployments, manage environments, and support the reliability and security of mission-critical applications and data platforms. The Cloud Engineer will work closely with data engineers, software engineers, architects, cybersecurity professionals, and government stakeholders to provision and operate Azure resources that support data pipelines, analytics platforms, applications, and AI/ML workloads.

The ideal candidate is comfortable working in a regulated environment and has strong experience with Azure infrastructure, Infrastructure as Code, CI/CD, networking, security, and cloud operations.

Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match.

• Design, deploy, configure, and maintain Azure cloud infrastructure supporting data engineering, analytics, application, and AI/ML workloads.
• Provision and manage Azure resources including Azure Virtual Networks, subnets, NSGs, storage accounts, Azure Key Vault, Azure SQL, Azure Kubernetes Service (AKS), Azure Monitor, and Azure Compute services
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• Build and maintain CI/CD pipelines using Azure Dev Ops and/or Git Hub Actions to automate infrastructure and application deployments.
• Configure and manage Azure networking, including VNets, private endpoints, DNS, routing, firewalls, load balancing, and connectivity between cloud resources and external environments.
• Implement cloud security controls including RBAC, managed identities, secrets management, encryption, network segmentation, and least-privilege access
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• Support the secure integration of Azure infrastructure with data platforms such as Azure Databricks, Azure Data Factory, ADLS Gen2, Synapse Analytics, and Azure SQL
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• Partner with Data Engineers to ensure the underlying cloud infrastructure supports reliable, scalable, and performant data pipelines and analytics workloads.
• Support Databricks infrastructure and workspace integrations, including networking, identity, access controls, compute configuration, and connectivity to Azure resources.
• Configure monitoring, logging, alerting, and operational dashboards using Azure Monitor, Log Analytics, Application Insights, and related Azure services
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• Troubleshoot infrastructure, networking, deployment, performance, and availability issues across development, test, and production environments.
• Automate routine infrastructure and operational processes using Power Shell, Azure CLI, Python, or similar scripting tools
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• Implement cloud cost-management and optimization practices, including resource monitoring, right-sizing, tagging, and appropriate use of compute and storage.
• Support disaster recovery, backup, high availability, and business continuity requirements for cloud-hosted workloads.
• Maintain technical documentation for cloud environments, infrastructure configurations, deployment processes, and operational procedures.
• Contribute to cloud architecture and engineering standards and help identify opportunities to improve scalability, reliability, security, and automation.
• Work within Agile teams and participate in sprint planning, technical discussions,…