Own end-to-end product strategy and delivery for a high-throughput data platform powering AI model training. Design and optimize ingestion pipelines, improve onboarding and file-transfer reliability, ensure data quality, partner with engineers and operations, use analytics to prioritize features, and support client delivery and reconciliation.

Design, build, and operate scalable backend microservices on Kubernetes. Own production services, Elasticsearch indexing and tuning, CI/CD and GitOps pipelines, observability, and reliability. Drive distributed-systems architecture, troubleshoot clusters and services, mentor engineers, and collaborate with platform teams to improve developer experience.