Senior MLOps Engineer

closed
Raft Logo

Raft

πŸ’΅ $110k-$180k
πŸ“Remote - United States

Summary

Join Raft, a customer-obsessed company specializing in distributed data systems, as a Senior 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 remote position, preferably local to Tampa, FL, may require up to 30% travel. The ideal candidate possesses 4+ years of relevant experience, expertise in Docker and Kubernetes, and a strong understanding of machine learning on Kubernetes. A Security+ certification is required within 90 days of employment, and the ability to obtain and maintain a Top Secret clearance is necessary.

Requirements

  • 4+ years of relevant hands-on experience
  • 3+ years' experience with Docker and Kubernetes, provisioning production clusters and maintaining their compliance
  • 3+ 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
  • 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
  • Knowledge of Istio
  • Experience building and maintaining machine learning platforms
  • Comfortable provisioning and debugging complex CI/CD pipelines
  • Prior experience with Terraform

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
This job is filled or no longer available