Top Tech Jobs & Startup Jobs in Charlotte, NC

Build and maintain scalable batch and real-time data pipelines, model data to power analytics and ML, and operate distributed data systems. Collaborate with business, engineering, and data science teams to ensure data quality, documentation, and debugging while adopting new technologies and working in an ambiguous, fast-changing environment.

Design, build, and operate cloud-native, large-scale distributed data infrastructure (Spark, Presto/Trino, Druid, Iceberg). Improve performance, scalability, and reliability, collaborate cross-functionally, and contribute to open-source projects.

Design and build scalable training platform infrastructure for large distributed ML model training. Improve performance, reliability, and cost-effectiveness of training jobs. Build APIs/UX for ML engineers, diagnose GPU/communication/memory bottlenecks, and implement observability, fault tolerance, and on-call practices while partnering with ML researchers and infrastructure teams.

Design and build high-volume, low-latency Conversion APIs and audience onboarding systems to ingest consented advertiser events (server-to-server, pixel, batch). Develop streaming and batch pipelines (Kafka, Flink), enable deduplicated identity-enriched datasets for retargeting, optimization, measurement, and reporting while ensuring privacy and regulatory compliance. Collaborate cross-functionally and provide technical leadership.

Lead and grow a backend engineering team building high-scale, low-latency consumer authorization platforms. Provide technical vision, partner with product, security, and data teams, balance short-term needs with long-term strategy, and hire, mentor, and retain diverse engineering talent.