Software Engineer, Reliability Engineering, AiDP

The Applied Machine Learning team in AI and Data Platform org has been at the forefront of accelerating digital transformation through machine learning across Apples enterprise ecosystem. We build and operate ML GenAI Inference and Data Platforms and Services to provide a comprehensive suite of capabilitiesserving business-critical needs across Apples enterprise. We work on interesting and hard challenges related to scale and performance across diverse set of open-source and cutting edge technologies.

We are looking for a talented engineer to join our team and bring passion for building and operating large scale platform and distributed systems leveraging cutting edge open source technologies across hybrid cloud a software engineer in AiDP reliability engineering you will work on one or many projects related to GenAI ML Inference and Big data platform.

Build enhance and maintain multi-tenant systems leveraging diverse with cross-functional teams to deliver impactful customer projects through full lifecycle from design discussions to release scale and optimize high-throughput and highly concurrent resolve and prevent production and operational challenges.

BS/MS in computer science or equivalent experience.n2 years experience programming skills in one of the following areas: Python Java or Go.n2 years experience in Kubernetes Docker or other container orchestration framework.

Ability to read and explain open source deploying and managing CI/CD expertise in troubleshooting complex production be able to understand complex architectures and be comfortable working with multiple to conduct performance analysis and troubleshoot large scale distributed be highly proactive with a keen focus on improving uptime/availability of our mission-critical with big data technologies - Spark Flink Iceberg or emerging GenAI/ML like Ray/MLflow/model serving) of Linux database and security concepts.