Azure Cloud Engineer: Data & AI Infrastructure

Analytica; Bethesda (MD); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Bonus opportunities

Employer-paid health care

Training funds

401k match

Job summary

Analytica in Bethesda, MD 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 hands-on role operates within established Azure architectures to implement infrastructure, automate deployments, and ensure reliability and security for mission-critical applications.

You will work with data engineers, software engineers, architects, cybersecurity professionals, and

Qualifications

• U.S. citizenship with the ability to obtain a U.S. Federal security clearance.
• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field, or equivalent professional experience.
• 3+ years of experience in cloud engineering, DevOps, infrastructure engineering, or a related field.
• 3+ years of hands‑on experience with Microsoft Azure.
• Experience deploying and managing Azure infrastructure, networking, security, and compute resources.
• Experience with Infrastructure as Code, using Terraform, Bicep, ARM templates, or similar technologies.
• Experience developing and maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, or similar tools.
• Proficiency with Azure CLI and/or PowerShell for cloud administration and automation.
• Experience with Azure identity and security concepts including Microsoft Entra ID, RBAC, managed identities, Key Vault, private endpoints, and network security controls.
• Experience troubleshooting cloud infrastructure, deployments, networking, and application/platform issues.
• Experience working with Git-based source control and collaborative software development practices.
• Strong understanding of cloud networking concepts including VNets, subnets, routing, DNS, firewalls, load balancing, and private connectivity.

Responsibilities

• 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, AKS, Azure Monitor, and compute services.
• Build and maintain CI/CD pipelines using Azure DevOps and/or GitHub 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.
• Support the secure integration of Azure infrastructure with data platforms such as Azure Databricks, Azure Data Factory, ADLS Gen2, Synapse Analytics, and Azure SQL.
• Partner with Data Engineers to ensure the underlying cloud infrastructure supports reliable, scalable 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.
• Troubleshoot infrastructure, networking, deployment, performance, and availability issues across development, test, and production environments.
• Automate routine infrastructure and operational processes using PowerShell, Azure CLI, Python, or similar scripting tools.
• 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, code reviews, demonstrations, and troubleshooting activities.
• Support compliance and security requirements associated with federal cloud environments and applicable agency policies and standards.

Skills

Cloud engineering

Azure

Infrastructure as Code

CI/CD

Azure CLI/PowerShell

Networking

Security controls

RBAC

Git/GitHub

Agile/Scrum

Education

Bachelor's degree in CS/IT/Engineering

Tools

Terraform

Bicep

ARM templates

Azure DevOps

GitHub Actions

Jenkins

Job description

Analytica in Bethesda, MD 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 hands-on role operates within established Azure architectures to implement infrastructure, automate deployments, and ensure reliability and security for mission-critical applications.

You will work with data engineers, software engineers, architects, cybersecurity professionals, and