DevOps Engineer – AI & Data Science
Core
Design, automate, and operate cloud infrastructure and engineering platforms supporting AI, machine learning, data science, and generative AI solutions within a Federal Government environment.
Role type
DevOps Engineer (AI & Data Science)
Builds
Cloud infrastructure, CI/CD pipelines, containerized applications, and MLOps/LLMOps capabilities for AI and ML workloads.
Domain
Federal Government, Cloud Infrastructure, AI/ML Operations
Deliverable
infrastructure
Required skills
AWS cloud architecture, Infrastructure as Code (Terraform, AWS CDK, CloudFormation), CI/CD pipeline design, Docker, Kubernetes (EKS), observability, security controls, troubleshooting complex infrastructure
Preferred skills
MLOps/LLMOps experience, Amazon Bedrock, generative AI and RAG solutions, cloud security and compliance automation
Technologies
AWS, Terraform, AWS CDK, CloudFormation, Docker, Kubernetes, Amazon EKS, Amazon Bedrock
Responsibilities
Design and maintain AWS cloud infrastructure for AI/ML workloads; Develop and maintain CI/CD pipelines; Implement Infrastructure as Code; Deploy and support applications using Docker and Kubernetes; Manage cloud environments across development, testing, and production; Implement monitoring, logging, and observability solutions; Troubleshoot complex infrastructure and deployment issues; Support security controls, IAM, and secrets management; Contribute to MLOps and LLMOps capabilities including model deployment and lifecycle management; Develop technical documentation and operational runbooks.
Seniority
Experienced, hands-on IC
