Senior DevOps Engineer

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.
• Bachelors 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.