Accelerating agile federal innovation through open source DevSecOps, data analytics, and human-centered design.
51 - 200
April 5
🇺🇸 United States – Remote
⏰ Full Time
đźź Senior
đź–Ą DevOps & Production Engineering
đź—˝ H1B Visa Sponsor
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Accelerating agile federal innovation through open source DevSecOps, data analytics, and human-centered design.
51 - 200
• Raft is building a real-time data platform for the Department of Defense (DoD), aimed at enhancing operators' awareness of critical events, including instances like the Chinese balloon and Cessna over the White House incidents. • Key technologies include Kafka, Kafka Streams, Pinot, Java, Scala, and Kubernetes. • Your primary responsibilities will be to build MLOps pipelines and contribute to the development of a full-lifecycle ML platform.
• 3+ years of relevant hands-on experience • 3+ years' experience with Docker and Kubernetes, provisioning production clusters and maintaining their compliance. • Practical experience with Machine Learning on Kubernetes • Experience with AWS and/or other cloud computing solutions • 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 • Highly preferred: Experience with data processing frameworks (Apache Spark preferred) • Solid understanding of Helm Charts
• U.S. based position requiring U.S. citizenship • Work conducted within the continental U.S.
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