Software Engineer/Senior Software Engineer, Data & ML Platform

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• BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience
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• Hands-on experience operating production Kubernetes clusters — node lifecycle, upgrades, troubleshooting — plus GitOps and infrastructure-as-code experience
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• Experience with GPU or ML workload scheduling, queueing and priorities, fractional GPU sharing, autoscaling, or multi-tenant resource management
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• Self-driven with a strong sense of ownership: a quick learner who is eager to take responsibility and drive projects forward end to end

Preferred Skills

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Experience with Ray or Kubeflow

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Experience with lakehouse technologies such as Delta Lake or Apache Iceberg

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Experience operating large-scale distributed data-processing and workflow systems, with hands-on depth in a system such as Apache Spark and working knowledge of Argo Workflows or an equivalent orchestrator