Senior Platform DevOps Engineer

Salary Range: 155000 to 175000 (Currency: USD) (Pay period: per-year-salary)

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

• 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.