Sr. DevSecOps

Infrastructure & Cloud Management:

• Design, deploy, and manage Azure Cloud architecture within DoD guidelines

• Manage Infrastructure as Code (IaC) deployments

• Ensure compliance with DoD security requirements and best practices

• Lead cross-functional teams in defining secure infrastructure requirements

CI/CD Pipeline Development:

• Develop and maintain secure CI/CD pipelines

• Implement deployment strategies aligned with DoD security protocols

• Automate build, test, and deployment processes using Azure DevOps Pipelines

• Ensure code security through pipeline integration

Security & Compliance:

• Implement and maintain security controls per DoD requirements

• Conduct security assessments and vulnerability remediation

• Collaborate with security teams on RMF documentation

• Ensure continuous compliance with DoD security standards

System Reliability:

• Monitor system performance and security

• Implement logging and monitoring solutions Lead incident response and problem resolution

• Ensure resilience and high availability for mission-critical systems
• Eligible for Secret clearance

• Current Security+ certification (or must obtain within 30 days)

• One of the following:

• Bachelor’s degree in Computer Science, Engineering, or related field with 5+ years of DevOps experience

• 8+ years of relevant DevOps/Cloud engineering experience

• Experience with Azure DevOps implementing DevSecOps pipelines in commercial and classified environments.

• Experience with the container ecosystem - Kubernetes, Helm, Docker, etc.

• Infrastructure as Code (IaC) automation

• Experience with Azure Commercial Cloud and Azure Government Cloud

• Strong scripting skills in Python or other languages
• Experience implementing DoD Security Technical Implementation Guides (STIGs)

• Strong understanding of the Risk Management Framework (RMF)

• Knowledge of DoD security documentation requirements

• Experience with security scanning tools (Nessus, SonarQube, Aqua Security, or similar) and remediation

• Database administration (SQL, NoSQL, Vector, etc.)

• Elasticsearch/OpenSearch administration

• Version control

• Linux administration

• Experience in data engineering tools and technologies like Databricks, Spark, Hadoop, and data warehousing solutions

• Familiarity with machine learning concepts and tools

• Experience with data visualization tools like Power BI or Tableau

• Relevant cloud security certifications (e.g., Azure Security Engineer Associate)