Senior Platform DevOps Engineer

Agile Defense, Inc.; Annapolis (MD); On-site; USD 140,000 - 210,000; Full time

Job summary

Agile Defense, Inc. seeks a Senior Platform DevOps Engineer to stand up and operate secure AI enterprise infrastructure across cloud and on‑prem environments. You will build pipelines, guardrails, and scalable platforms enabling rapid, safe AI development and deployment for mission needs.

The role requires deep expertise in Docker, Kubernetes, CI/CD, and RMF/ATO readiness, with hands‑on experience across AWS and Azure, plus strong collaboration with AI/ML teams.

Qualifications

• Bachelor’s degree in a technical field with 10+ years of experience or Master’s degree with 8+ years of experience.
• Advanced proficiency in DevOps principles and practices.
• Demonstrated expertise in containerization using Docker and Kubernetes.
• Proven experience in architecting and managing CI/CD pipelines.
• Extensive experience with AI model lifecycle management and maintenance.
• Active TS/SCI clearance w/ Poly.

Responsibilities

• Provide embedded operations support, capability integration, and rapid prototyping for AI-enabled tools in support of our customer.
• Design, implement, and maintain robust infrastructure for enterprise AI applications in cloud environments (AWS, Microsoft Azure) and on-prem/air-gapped/classified environments.
• Develop and optimize engineering workflows and processes to support AI model and agent development, deployment, and maintenance.
• Architect and manage CI/CD pipelines for continuous integration and continuous delivery of AI models, agents, and applications.
• Implement and manage containerization and orchestration solutions using Docker and Kubernetes, and build and maintain control-plane guardrails — identity, policy enforcement, approvals, audit/logging, and observability.
• Ensure efficient AI model and agent lifecycle management, including versioning, monitoring, and scaling.
• Collaborate with AI/ML engineers and data scientists to streamline deployment processes and optimize resource utilization.
• Oversee system performance, security, and scalability of AI infrastructure, and support security accreditation (RMF/ATO) of AI systems.
• Continuously research and implement new DevOps tools and practices to enhance efficiency.

Skills

DevOps

Docker

Kubernetes

CI/CD

AI model lifecycle

Cloud platforms

RMF/ATO readiness

Monitoring & logging

Infrastructure as code

Communication

Education

Bachelor's degree in a relevant technical field

Master's degree in a relevant technical field

Tools

Docker

Kubernetes

Terraform

Ansible

Prometheus

Grafana

ELK stack

Job description

About Agile Defense

At Agile Defense we know that action defines the outcome and new challenges require new solutions. That’s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next. Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility—leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation’s vital interests.

Requisition #

1919

Job Title

Senior Platform DevOps Engineer

Location

Fort Meade, MD - Onsite

Clearance Level

TS/SCI w/ Polygraph, Must Have Clearance to Start

Job Description

Our team is standing up an AI Enterprise capability — the central hub that mission teams turn to when they want to move an AI solution from prototype to a secure, governed, enterprise-scale service. As a Senior Platform / DevOps Engineer on this team, you will build and run the infrastructure, pipelines, and control-plane guardrails that let the command adopt AI safely and at scale, with significant, visible impact on the mission.

What You'll Be Doing

• Provide embedded operations support, capability integration, and rapid prototyping for AI-enabled tools in support of our customer.
• Design, implement, and maintain robust infrastructure for enterprise AI applications in cloud environments (AWS, Microsoft Azure) and on-prem/air-gapped/classified environments.
• Develop and optimize engineering workflows and processes to support AI model and agent development, deployment, and maintenance.
• Architect and manage CI/CD pipelines for continuous integration and continuous delivery of AI models, agents, and applications.
• Implement and manage containerization and orchestration solutions using Docker and Kubernetes, and build and maintain control-plane guardrails — identity, policy enforcement, approvals, audit/logging, and observability.
• Ensure efficient AI model and agent lifecycle management, including versioning, monitoring, and scaling.
• Collaborate with AI/ML engineers and data scientists to streamline deployment processes and optimize resource utilization.
• Oversee system performance, security, and scalability of AI infrastructure, and support security accreditation (RMF/ATO) of AI systems.
• Continuously research and implement new DevOps tools and practices to enhance efficiency.

Basic Qualifications

• Bachelor's degree in a relevant technical field with 10+ years of experience, or Master's degree in a relevant technical field with 8+ years of experience
• Advanced proficiency in DevOps principles and practices
• Demonstrated expertise in containerization using Docker and Kubernetes
• Proven experience in architecting and managing CI/CD pipelines
• Extensive experience with AI model lifecycle management and maintenance
• Active TS/SCI clearance w/ Poly

Preferred Skills

• Familiarity with cloud platforms (AWS, Microsoft Azure) for infrastructure deployment and management
• Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack)
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams
• Experience with infrastructure as code (IaC) tools (e.g., Terraform, Ansible)
• Understanding of machine learning concepts and their implications for infrastructure; continuous learning mindset to stay abreast of cutting-edge DevOps and AI advancements

Our Core Values

Happy

• - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.

Helpful

• - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.

Honest

• - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.

Humble

• - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.

Hungry

• - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.

Hustle

• - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.

Equal Opportunity Employer / Protected Veterans / Individuals with Disabilities

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.