Staff Data Platform Engineer: AI/ML-Powered Streaming

Global Sports Jobs Limited; Phoenix (AZ); Presencial; USD 140 000 - 220 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

A Great Place to work

Fast track growth opportunities

Resumo da oferta

The Staff Software Engineer will shape technical direction for Warner Bros Discovery’s data platform powering streaming services and content businesses, spanning pipelines, data lakes, and serving infra. This hands-on role combines architecture, coding, and mentoring to raise the engineering bar across the organisation.

You'll collaborate with data science and ML teams to productionize models, build feature pipelines, and enable GenAI-powered capabilities, setting standards for reliability and

Qualificações

• 10+ years of experience in software engineering.
• Experience designing and shipping production-grade, large-scale data platforms.
• Strong programming skills in Python, Scala, or Java.

Responsabilidades

• Drive the architecture and design of large-scale data platform systems — pipelines, data lakes, and serving infrastructure that process billions of events.
• Build the foundations that power AI and ML: feature platforms, training data pipelines, and model-serving infrastructure.
• Partner with data science and ML teams to productionize models and enable AI/GenAI-powered capabilities on top of the platform.
• Set technical standards and best practices in data modeling, system design, reliability, and applied AI.
• Mentor engineers and influence technical strategy and decisions beyond your immediate team.

Conhecimentos

Python

Scala

Java

Distributed data processing

Ferramentas

Spark

Flink

Kafka

AWS

GCP

Descrição da oferta de emprego

The Staff Software Engineer will shape technical direction for Warner Bros Discovery’s data platform powering streaming services and content businesses, spanning pipelines, data lakes, and serving infra. This hands-on role combines architecture, coding, and mentoring to raise the engineering bar across the organisation.

You'll collaborate with data science and ML teams to productionize models, build feature pipelines, and enable GenAI-powered capabilities, setting standards for reliability and