Senior Platform DevOps Engineer - AI & Secure Cloud

SIXGEN; Columbia (MD); On-site; USD 215,000 - 240,000; Full time

Benefits offered by this job

Health insurance

401K with company match

Professional development

Remote-friendly policies

Paid time off

Job summary

SIXGEN is seeking a Senior Platform/DevOps Engineer in Columbia, MD to build and run the AI-enabled infrastructure and guardrails that enable secure enterprise-scale AI. You will own CI/CD pipelines, containerization, and RMF/ATO readiness, with significant impact on US Cyber Command initiatives.

You will collaborate with AI/ML teams, optimize deployment, and advance engineering workflows for AI models and agents across cloud and on‑prem environments.

Qualifications

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

Responsibilities

• Provide embedded operations support and rapid prototyping for AI-enabled tools.
• Design and maintain robust infrastructure in cloud and on-prem environments.
• Develop workflows for AI model development, deployment, and maintenance.
• Architect and manage CI/CD pipelines for AI models and apps.
• Implement containerization/orchestration with Docker and Kubernetes; guardrails.
• Oversee AI system performance, security, and accreditation readiness.
• Collaborate with AI/ML teams to optimize deployment and resources.
• Continuously research DevOps tools to improve efficiency.

Skills

DevOps principles

Containerization

CI/CD pipelines

AI model lifecycle management

Security clearance

Education

Bachelor's degree with 10+ years

Master's degree with 8+ years

Tools

Docker

Kubernetes

CI/CD tools

IaC (Terraform, Ansible)

Cloud platforms (AWS, Azure)

Job description

SIXGEN is seeking a Senior Platform/DevOps Engineer in Columbia, MD to build and run the AI-enabled infrastructure and guardrails that enable secure enterprise-scale AI. You will own CI/CD pipelines, containerization, and RMF/ATO readiness, with significant impact on US Cyber Command initiatives.

You will collaborate with AI/ML teams, optimize deployment, and advance engineering workflows for AI models and agents across cloud and on‑prem environments.