- Architect, build, and scale core backend systems including the Audience API, Audience Kafka Topics, and User Profile API.
- Build and maintain high-volume activation platform integrations and collaborate on Databricks segmentation pipelines.
- Design and operate low-latency, high-throughput microservices using Go, gRPC, and REST/OpenAPI.
- Ensure end-to-end service observability and APM using Datadog.
- Partner with Machine Learning Engineers and Data Scientists to support AI models and segments.
- Plan and execute technical initiatives with strict adherence to data regulatory laws like GDPR and CCPA.
- Lead large-scale, cross-functional engineering initiatives from design to execution.
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