Active Top Secret (TS) security clearance with SCI eligibility
Bachelor's degree in Computer Science, Engineering, Data Science, or related field; Master's preferred
8+ years of architecture or DevSecOps experience
Experience with CI/CD, Kubernetes, and automation platforms
Experience with MLOps frameworks and AI deployment pipelines
Ability to obtain and maintain required security clearance
Responsibilities
Design DevSecOps reference architectures and deployment pipelines
Define container governance and orchestration standards
Develop AI/ML deployment, testing, and promotion workflows
Architect model registry and model governance solutions
Implement automated AI testing and compliance controls
Support architecture governance and platform modernization efforts
Benefits
Top Secret clearance required, indicating a high-security environment
Opportunity to work on cutting-edge AI and DevSecOps technologies
Engagement in enterprise modernization efforts
Potential for professional development through certifications
Collaboration with DoD cloud and AI initiatives
Full Job Description
Solutions Architect Job ID: 26-1130 Clearance: Top Secret with SCI eligibility Location: DC Metro
What You'll Do: The Solutions Architect develops DevSecOps and MLOps architectures supporting secure software delivery, AI deployment, and enterprise modernization efforts.
Responsibilities will include but are not limited to:
Design DevSecOps reference architectures and deployment pipelines.
Define container governance and orchestration standards.
Develop AI/ML deployment, testing, and promotion workflows.
Architect model registry and model governance solutions.
Implement automated AI testing and compliance controls.
Support architecture governance and platform modernization efforts.
What You'll Need:
Active Top Secret (TS) security clearance with SCI eligibility.
Bachelor's degree in Computer Science, Engineering, Data Science, or related field, Master preferred
8+ years of architecture or DevSecOps experience.
Experience with CI/CD, Kubernetes, and automation platforms.
Experience with MLOps frameworks and AI deployment pipelines.
Ability to obtain and maintain required security clearance.
Set Yourself Apart With:
AWS or Azure DevOps certification preferred.
Kubernetes (CKA/CKAD) certification preferred.
DoD 8140.03 qualification preferred.
Experience supporting DoD cloud and AI initiatives.
Salary Range: $100k - $145k
The salary range listed reflects our standard market pay structure. Final compensation will be determined based on multiple factors, including, but not limited to, the candidate's unique qualifications, skills required for the position, professional experience, education, and business needs, at the time of hire.
