About the role

Role overview

Principal MLOps Engineer at Raft, supporting mission-critical AI and data platforms for the Department of Defense. You will design, deploy, and mature Raft’s end-to-end machine learning platform and MLOps infrastructure across cloud and constrained operational environments.

What you’ll do

Design, build, and maintain secure, scalable MLOps infrastructure and deployment pipelines for production ML systems
Mature internal model lifecycle capabilities (model packaging, registry/catalog workflows, deployment, monitoring, and operational support)
Deploy and manage ML workloads on Kubernetes, including GPU-enabled clusters
Support model serving/inference infrastructure across ML use cases (traditional ML, computer vision, speech/audio, and LLM-based 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 operations
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 practices and secure software supply chain requirements
Work directly with customers in advanced DoD settings

What we are looking for

7+ years hands-on experience in software engineering, platform engineering, DevOps, MLOps, or related technical roles
5+ years production experience with Docker and Kubernetes
5+ years experience supporting enterprise cloud infrastructure/applications in AWS, Azure, or similar environments
Strong experience provisioning/operating production infrastructure (text truncated in provided posting)

Additional information

This role is U.S.-based and requires U.S. citizenship.
All work must be conducted within the continental U.S.

About Raft

Raft is a U.S.-based, customer-obsessed defense tech company focused on empowering U.S. military and government agencies with AI/ML and data solutions. It builds autonomous data fusion and agentic AI capabilities, including distributed data systems and cloud-native platforms that support mission-critical, real-time intelligence workflows.