Senior MLOps Engineer

November 23

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Description

β€’ This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S. β€’ Raft is building a real-time data platform for the Department of Defense (DoD), aimed at enhancing operators' awareness of critical events. β€’ Our system efficiently handles the processing of over a billion events daily, all achieved with millisecond-level latency. Key technologies include Kafka, Kafka Streams, Pinot, Java, Scala, and Kubernetes. β€’ Your primary responsibilities will be to deploy ML infrastructure, build MLOps pipelines, and contribute to the development of a full-lifecycle ML platform.

Requirements

β€’ 4+ years of relevant hands-on experience β€’ 3+ years' experience with Docker and Kubernetes, provisioning production clusters and maintaining their compliance. β€’ 3+ years experience supporting enterprise Cloud applications or infrastructure (AWS, Azure, etc.) β€’ Solid understanding of Helm Charts β€’ Practical experience with Machine Learning on Kubernetes β€’ Experience managing clusters with GPU machines β€’ Practical programming and scripting skills (Python preferred) β€’ Fast learner, analytical thinker, creative, hands-on, strong communication skills β€’ Able to work both independently and as part of a team β€’ Excellent problem-solving skills and attention to detail. β€’ Proven experience with modern software development and engineering practices including scrum/agile, Git, and DevOps β€’ Ability to obtain a Security+ certification within the first 90 days of employment with Raft β€’ Highly preferred: Currently Cleared or a Clearance in the past β€’ Knowledge of Istio β€’ Experience building and maintaining machine learning platforms β€’ Comfortable provisioning and debugging complex CI/CD pipelines β€’ Prior experience with Terraform

Benefits

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

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