Bachelor's degree in a relevant technical field with 10+ years of experience, or Master's degree with 8+ years
Active TS/SCI clearance with CI Poly
Advanced proficiency in DevOps principles and practices
Expertise in containerization using Docker and Kubernetes
Experience in architecting and managing CI/CD pipelines
Extensive experience with AI model lifecycle management
Responsibilities
Provide embedded operations support and rapid prototyping for AI tools
Design and maintain infrastructure for enterprise AI applications in cloud and classified environments
Develop and optimize workflows for AI model deployment and maintenance
Architect and manage CI/CD pipelines for AI applications
Implement containerization and orchestration solutions with Docker and Kubernetes
Ensure efficient AI model lifecycle management and scaling
Collaborate with AI/ML engineers to streamline deployment processes
Oversee system performance, security, and scalability of AI infrastructure
Benefits
Employer-paid health insurance premiums for you and your family
Employer-paid short/long term disability and basic life/AD&D insurance
401K with a 4% employer contribution
Professional development reimbursement options
Flexible and remote work policies
Flexible PTO and holiday schedule
Full Job Description
POSITION OVERVIEW
Position: Platform DevOps Engineer
Job Type: Full Time
Location: Columbia, MD
Clearance Requirement: TS/SCI, CI Poly
Salary : Senior $215K SME $240K
WHAT YOU'LL DO
SIXGEN is actively seeking candidates to be part of a team that supports the United States Cyber Command (USCC). Our team is standing up USCYBERCOM's 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 of the USCC.
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.
Required 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
Active TS/SCI clearance w/ Poly
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
Desired Qualifications:
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
COMPENSATION & BENEFITS
At SIXGEN, we are committed to fair and equitable compensation practices. Compensation for this role will be based on experience, qualifications, technical expertise, and overall alignment with the position.
Additionally, SIXGEN offers top-tier benefits for full-time employees, including:
Employer-paid health insurance premiums (medical, dental, vision) for you and your family
Employer-paid short/long term disability insurance and basic life/AD&D insurance
401K with a 4% employer contribution
Professional development reimbursement options available (training, certification, education, etc)
Flexible and remote work policies for most positions
