Azure Cloud & Data Engineer

The JAAW Group•Patrick Space Force Base, FL

5d•Onsite

About The Position

The JAAW Group LLC, a Service-Disabled Veteran-Owned Small Business (SDVOSB), is seeking an Azure Cloud & Data Engineer to support secure, mission-critical cloud and data environments at Patrick Space Force Base, FL. This role will support the design, deployment, administration, security, and continuous improvement of Microsoft Azure cloud environments, with an emphasis on cloud infrastructure, data lifecycle management, automation, and emerging artificial intelligence technologies. The Azure Cloud & Data Engineer will work across cloud engineering, data management, cybersecurity, DevSecOps, and automation while collaborating with technical teams to deliver reliable, secure, and scalable cloud and data capabilities. The role may also support the integration and use of generative AI technologies, including Claude, within enterprise applications and workflows.

Requirements

Active Secret security clearance required prior to onboarding.
U.S. citizenship required.
Experience or demonstrated technical knowledge in Microsoft Azure, cloud engineering, data engineering, data management, DevOps, or a related technical discipline.
Familiarity with Microsoft Azure services and cloud computing concepts.
Understanding of data lifecycle management concepts, including data storage, organization, protection, movement, retention, and disposition.
Familiarity with scripting, automation, or programming using Python, PowerShell, Bash, SQL, or similar technologies.
Working knowledge of cloud security, networking, identity and access management, and data protection principles.
Strong troubleshooting, communication, collaboration, and problem-solving skills.
Ability to work onsite at Patrick Space Force Base, Florida.
Ability to work effectively in a fast-paced, mission-focused technical environment.

Nice To Haves

Bachelor's degree in Computer Science, Information Technology, Information Systems, Engineering, Data Science, Cybersecurity, or a related technical field. Relevant professional experience, military experience, technical training, or industry certifications may be considered in lieu of a degree.
Prior experience supporting DoD, federal government, or other highly regulated environments.
Experience with Microsoft Azure Government or secure Azure environments.
Experience with Azure data technologies such as Azure Data Factory, Azure SQL, Azure Storage, Azure Data Lake, Microsoft Fabric, Azure Databricks, or similar technologies.
Experience with data lifecycle management, data governance, data retention, data classification, or records management.
Experience with Infrastructure as Code, CI/CD, DevSecOps, containerization, or cloud automation.
Experience with generative AI and large language model technologies, including Claude, Claude APIs, or similar AI platforms.
Experience integrating APIs, AI services, or automated workflows with enterprise applications and data sources.
Familiarity with RMF, NIST, STIGs, or other DoD cybersecurity and compliance requirements.
Microsoft Azure certifications or other relevant cloud, data, cybersecurity, or DevOps certifications.

Responsibilities

Design, deploy, configure, administer, monitor, and maintain Microsoft Azure cloud environments.
Support Azure compute, storage, networking, identity, access, security, and data services.
Support data lifecycle management activities, including data ingestion, storage, organization, access, retention, archival, and secure disposal.
Develop and maintain cloud-based data workflows, integrations, and automated processes.
Support Azure-based data platforms, storage solutions, databases, and associated infrastructure.
Develop and maintain Infrastructure as Code using Terraform, Bicep, ARM templates, or similar technologies.
Automate cloud, data, and operational tasks using Python, PowerShell, Bash, SQL, or similar technologies.
Support CI/CD pipelines, DevSecOps processes, and cloud automation.
Support the integration of generative AI technologies, including Claude and other large language model technologies, into enterprise applications and workflows.
Implement and maintain cloud security, identity and access management, data protection, and governance controls.
Monitor cloud and data environments, troubleshoot technical issues, perform root-cause analysis, and support remediation activities.
Collaborate with cloud, data, cybersecurity, software development, DevSecOps, and AI/ML teams on technical requirements and solutions.
Develop and maintain technical documentation, system configurations, runbooks, and operational procedures.
Participate in Agile delivery activities and continuous process improvement.