Beatdapp delivers the most advanced streaming integrity and recommendation technology worldwide. The company combats streaming fraud with its Trust & Safety Operating System, powering a new era of personalized discovery. It builds recommendation engines on verified, clean data by filtering manipulated signals before they affect models. This infrastructure supports trillions of data points ingested, processed, and served as real-time recommendations at global scale.
As a Data Platform Engineer at Beatdapp, you will design and maintain scalable data pipelines that transform high-volume streaming data. You will manage multi-cluster Kubernetes environments, implementing autoscaling for high-availability ML workloads. Additionally, you will orchestrate deployments with A/B testing strategies and ensure end-to-end observability across services.
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