Principal MLOps Engineer

📋 Description

• Design, deploy, and mature Raft's ML platform and MLOps infra
• Deploy Kubernetes-based environments and GPU-enabled clusters
• Build and maintain CI/CD pipelines for ML services
• Support model serving for CV, speech/audio, and LLM use cases
• Collaborate with ML engineers, software engineers, and product teams
• Improve observability, reliability, security across ML infra

🎯 Requirements

• 7+ years in software, platform, DevOps, or MLOps
• 5+ years Docker and Kubernetes in production
• 5+ years deploying enterprise cloud infra (AWS, Azure, or similar)
• Strong experience provisioning, operating, and troubleshooting Kubernetes clusters in production
• Experience deploying ML workloads on Kubernetes
• Ability to obtain and maintain Top Secret clearance and Security+ within 90 days

🎁 Benefits

• Highly competitive salary
• Fully covered healthcare, dental, and vision
• 401(k) and company match
• Take as you need PTO + 11 paid holidays
• Education & training benefits
• Annual budget for tech/gadgets