Principal Cloud Platform Engineer
Core
Architect and technical owner of the ML infrastructure platform powering Nearmap's AI innovation, serving internal product teams.
Role type
Principal Cloud Platform Engineer (ML Infrastructure)
Builds
Scalable ML infrastructure including workflow orchestration, distributed GPU training, batch inference, and real-time model serving.
Domain
Cloud Infrastructure / Machine Learning / Geospatial
Deliverable
production ML models
Required skills
Kubernetes (GPU scheduling), Python, Cloud Infrastructure (AWS/GCP), Infrastructure as Code, Distributed Systems, MLOps/LLMOps, Team Leadership
Preferred skills
Workflow orchestration frameworks (Argo, Kubeflow, Ray), Multi-cloud GPU capacity strategy, Vector databases, Open-source contributions
Responsibilities
Define technical roadmap for core ML infrastructure, make critical design calls for new technologies, lead and mentor a team of engineers, spearhead high-risk platform work, write production code for shared platform, establish MLOps best practices, manage service level objectives and GPU costs.
Seniority
Principal, hands-on IC with leadership
