Principal MLOps Engineer

Summary

Join Raft, a customer-obsessed company specializing in distributed data systems, as a Principal MLOps Engineer. You will contribute to a real-time data platform for the Department of Defense, handling over a billion events daily with millisecond latency. Key responsibilities include deploying ML infrastructure, building MLOps pipelines, and developing a full-lifecycle ML platform. This role requires extensive experience with Kubernetes, Docker, cloud applications, and machine learning. The position is remote, with a preference for candidates local to Tampa, FL, and may involve up to 30% travel. Raft offers a highly competitive salary and benefits package.

Requirements

• 7+ years of relevant hands-on experience
• 5+ years experience with Docker and Kubernetes, provisioning production clusters and maintaining their compliance
• 5+ years experience supporting enterprise Cloud applications or infrastructure (AWS, Azure, etc.)
• Solid understanding of Helm Charts
• Practical experience with Machine Learning on Kubernetes
• Experience managing clusters with GPU machines
• Experience building and maintaining machine learning platforms and pipelines
• Practical programming and scripting skills (Python preferred)
• Fast learner, analytical thinker, creative, hands-on, strong communication skills
• Able to work both independently and as part of a team
• Excellent problem-solving skills and attention to detail
• Proven experience with modern software development and engineering practices including scrum/agile, Git, and DevOps
• Ability to obtain a Security+ certification within the first 90 days of employment with Raft
• Ability to obtain and maintain a Top Secret clearance

Responsibilities

• Deploy ML infrastructure
• Build MLOps pipelines
• Contribute to the development of a full-lifecycle ML platform

Preferred Qualifications

• Currently Cleared or a Clearance in the past
• Experience with or managing KubeFlow deployments
• Knowledge of Istio
• Comfortable provisioning and debugging complex CI/CD pipelines
• Prior experience with Terraform
• Remote (Local to Tampa, FL is highly preferred)

Benefits

• Highly competitive salary
• Fully covered healthcare, dental, and vision coverage
• 401(k) and company match
• Take as you need PTO + 11 paid holidays
• Education & training benefits
• Annual budget for your tech/gadgets needs
• Monthly box of yummy snacks to eat while doing meaningful work
• Remote, hybrid, and flexible work options
• Team off-site in fun places!
• Generous Referral Bonuses