Cloud Infrastructure & Automation

• Lead the design, deployment, and maintenance of Azure infrastructure supporting unclassified and classified spectrum management systems.
• Develop reusable Infrastructure as Code using tools such as Terraform, Bicep, or ARM templates.
• Configure and maintain container platforms using Kubernetes, Docker, and Helm.
• Implement secure networking, identity and access controls, secrets management, and environment configuration.
• Improve infrastructure consistency, scalability, reliability, and cost efficiency across development, test, and production environments.

CI/CD & Secure Software Delivery

• Build and maintain Azure DevOps pipelines that automate application builds, testing, security scanning, and deployments.
• Integrate code, dependency, container image, and infrastructure security checks into delivery workflows.
• Establish repeatable release processes, approval controls, and artifact management.
• Support deployments within restricted environments, accounting for connectivity, tooling, and software dependency constraints.
• Partner with development teams to resolve deployment issues, improve delivery speed and quality, and promote consistent DevOps practices across the program.

Security & Compliance

• Implement and maintain technical controls aligned with applicable Department of Commerce, NTIA, and federal security requirements.
• Apply secure configuration baselines and STIGs where required; identify and remediate infrastructure and application vulnerabilities.
• Support Risk Management Framework (RMF), Authority to Operate (ATO), and continuous monitoring activities through technical documentation, configuration evidence, and remediation tracking.
• Work with government and program security personnel to translate control requirements into practical infrastructure and pipeline safeguards.

Reliability & Operations

• Implement monitoring, centralized logging, and actionable alerts for infrastructure, containers, pipelines, and applications.
• Troubleshoot production issues, support incident response, and address root causes.
• Develop and validate backup, recovery, and rollback procedures.
• Maintain architecture diagrams, deployment documentation, and operational runbooks, and brief government stakeholders on infrastructure status, risks, and recommendations.

• Active Secret security clearance or higher.
• Current CompTIA Security+ certification, or ability to obtain it within 30 days of hire.
• Bachelor’s degree in Computer Science, Engineering, or a related field and five or more years of relevant DevOps/cloud engineering experience, or eight or more years of relevant experience in lieu of a degree.
• Hands-on experience designing and operating infrastructure in Azure Commercial and Azure Government.
• Experience building and maintaining Azure DevOps YAML pipelines for automated builds, testing, and deployments.
• Experience delivering software or infrastructure in classified or similarly restricted federal environments.
• Proficiency with Infrastructure as Code, including Terraform, Bicep, ARM templates, or comparable tools.
• Practical experience with Docker, Kubernetes, and Helm, including deployment and troubleshooting.
• Strong scripting skills using Python, PowerShell, Bash, or similar languages.
• Experience with Git-based version control, branching strategies, pull requests, and code reviews, including reviewing and guiding the work of junior engineers.
• Working knowledge of Linux administration, cloud networking, identity and access management, and secrets management.
• Ability to troubleshoot across infrastructure and application layers, document solutions clearly, and work effectively with technical and nontechnical stakeholders, including government customers.

• Experience supporting Azure Government Secret environments.
• Experience leading DevOps efforts on federal system modernization programs, including production transitions.
• Familiarity with NIST SP 800-53 controls, RMF, ATO processes, and STIG implementation.
• Experience integrating security tools such as Nessus, SonarQube, Microsoft Defender for Cloud, Aqua Security, or comparable products.
• Experience with Azure Monitor, Log Analytics, Application Insights, Prometheus, or Grafana.
• Experience supporting database platforms or search services such as SQL Server, PostgreSQL, Elasticsearch, or OpenSearch.
• Familiarity with data engineering and machine learning platforms, including Databricks, Apache Spark, or related technologies.
• Relevant Microsoft Azure administration, DevOps, or security certifications.