Senior DevOps Engineer - AI/​ML Infrastructure

About the Role

We are seeking a Senior DevOps Engineer to design, build, and operate secure, scalable CI/CD and infrastructure platforms that support production AI and ML workloads. This Senior DevOps Engineer remote role enables Machine Learning Engineers, MLOps Engineers, and Data Engineers by ensuring reliable deployment, monitoring, and operation of mission-critical systems.

What You'll Do

• Design, implement, and maintain automated CI/CD pipelines supporting application, data, and ML deployments.
• Build, operate, and scale Kubernetes-based platforms for containerized workloads.
• Manage and optimize Linux-based production systems to ensure performance, reliability, and scalability.
• Implement infrastructure as code using tools such as Terraform or equivalent frameworks.
• Support infrastructure for data and ML platforms handling TB to PB-scale datasets.

Requirements

• U.S. Citizen with an active DoD, IC, or DHS clearance, or eligibility to obtain and maintain one.
• Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent professional experience.
• 5 or more years of DevOps engineering experience supporting production environments.
• 5 or more years of Linux system administration experience, including performance tuning and troubleshooting.
• Hands-on experience with Kubernetes and Docker in production environments.
• Experience deploying and managing infrastructure in Azure, AWS, or GCP, with Azure experience strongly preferred.
• Proficiency with scripting languages such as Bash or Python.

Nice to Have

• Experience supporting AI or ML workloads in production environments.
• Experience operating in federal, defense, healthcare, or other regulated environments.
• Familiarity with monitoring and logging stacks such as Prometheus, Grafana, and ELK.
• Experience with infrastructure as code tools such as Terraform.
• Hands-on experience with bare metal provisioning or hybrid infrastructure environments.
• Kubernetes or cloud certifications such as Certified Kubernetes Administrator, AWS Certified DevOps Engineer Professional, or Microsoft Certified Azure DevOps Engineer Expert.

What We Offer

• Competitive salary and comprehensive health benefits.
• 401(k) with company matching.
• Clearance sponsorship for eligible candidates.
• Training and certification support for DevOps, Kubernetes, and cloud platforms.
• Opportunity to grow into Lead DevOps or Platform Engineering roles as programs expand.