Principal MLOps Engineer

Role overview

Raft is hiring a Principal MLOps Engineer to design, deploy, and mature mission-critical AI and data platforms. The role focuses on building secure, scalable end-to-end ML platforms and MLOps infrastructure that support model development, evaluation, deployment, monitoring, and lifecycle management across cloud and constrained environments.

Responsibilities

• Design, build, and maintain secure, scalable MLOps infrastructure and deployment pipelines for production ML systems
• Mature internal ML platform capabilities: model packaging, model registry/catalog workflows, deployment, monitoring, and operational support
• Deploy and manage ML workloads on Kubernetes, including GPU-enabled clusters
• Support model serving/inference infrastructure for multiple ML use cases (traditional ML, computer vision, speech/audio, and LLM systems)
• Build and maintain CI/CD workflows for ML services, model artifacts, and platform components
• Partner with ML engineers, software engineers, and product teams to move models from experimentation to reliable production deployment
• Improve observability, reliability, security, and maintainability across ML infrastructure and services
• Evaluate and standardize runtime patterns, serving frameworks, and deployment architectures for production workloads
• Contribute to infrastructure decisions across edge, on-prem, and cloud deployment environments
• Support compliance-driven deployment and secure software supply chain practices for defense environments

Requirements

• 7+ years hands-on experience in software engineering/platform engineering/DevOps/MLOps or related technical roles
• 5+ years experience with Docker and Kubernetes in production
• 5+ years experience supporting enterprise cloud infrastructure or applications in AWS, Azure, or similar

Nice-to-haves / implied by the posting

• Experience provisioning and operating GPU-enabled infrastructure and production model serving systems
• Familiarity with secure production operations, supply-chain security, and defense compliance practices