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Staff engineer who owns AeroVect's cloud data infrastructure for its autonomous ground-handling platform: designing scalable on-prem-to-cloud data pipelines, managing AWS/Kubernetes/Terraform infrastructure, and building CI/CD and observability tooling. Requires 7+ years with Python, Kafka, gRPC, and deep AWS expertise.
Builds and maintains data pipelines to ingest autonomous vehicle sensor data (ROS bags, telemetry) and curates datasets for ML/perception teams, optimizing cloud workflows and tooling for efficiency.
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