Senior DevOps Engineer – AI/Cloud Modernization

Responsibilities

• Design, develop, and maintain CI/CD pipelines using Jenkins, GitLab, or Azure DevOps for software development, DevOps, and ML Ops initiatives.
• Establish and manage automated workflows for build, test, and deployment processes.
• Configure and maintain cloud infrastructure (AWS, Azure) to support new capability development.
• Develop and manage microservices, containerization, and declarative APIs.
• Implement data pipelines (Apache Kafka) and automated data validation routines.
• Support HUD in maturing architectures, technology stacks, coding standards, version control strategies, software integration points, and milestone plans.
• Embed security in DevOps workflows in coordination with the Senior Security Engineer.
• Document all processes, configuration management, and privacy/security compliance activities.
• Participate in AI/ML proofs of concept and scale pilots into enterprise-ready systems.

Requirements

• 7+ years of DevOps engineering experience, including CI/CD, cloud infrastructure, and automation.
• 5+ years supporting federal IT modernization projects preferred.
• Experience developing AI/ML-enabled solutions and scaling POCs to production-ready systems.
• Expertise with microservices, containerization (Docker/Kubernetes), and API design.
• Hands‑on experience with infrastructure‑as‑code tools (Ansible, Terraform).
• Knowledge of federal security and compliance frameworks (FedRAMP, NIST RMF, OMB M‑Memos).
• Previous experience in regulated/federal government environments is a plus.
• Previous experience supporting HUD OCIO preferred.
• Ability to pass required Federal background screening and obtain and maintain both government clearance and customer approval.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.