Software Site Reliability Engineer - AI & Data

AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

As a Data Platform SRE, you will be responsible for developing and operating our big data platform using open source or other solutions to aid critical applications, such as analytics, reporting, and AI/ML apps. This includes working to optimize performance and cost, automate operations, and identify and resolve production issues to ensure the best data platform experience.

Minimum Qualifications:

• 3+ years in software site reliability engineering or software development roles.
• Proficient in at least one of Python, Golang, or Java.
• Skilled at coding for distributed systems and developing resilient data pipelines.
• Hands-on experience with at least one major cloud platform (AWS, Azure, or Google Cloud Platform).

Preferred Qualifications:

• Expertise in designing, building, and operating critical, large-scale distributed systems with a focus on low latency, fault-tolerance, and high availability.
• Experience contributing to open source projects is a plus.
• Experience with multiple public cloud infrastructure, managing multi-tenant Kubernetes clusters at scale, and debugging Kubernetes/Spark issues.
• Experience with workflow and data pipeline orchestration tools (e.g., Airflow, DBT).
• Understanding of data modeling and data warehousing concepts.
• Familiarity with the AI/ML stack, including GPUs, MLFlow, or Large Language Models (LLMs).
• Strong foundation in data structures and algorithms, with application experience.
• Solid understanding of distributed systems and hands-on experience managing at least one distributed system (e.g., Kafka, Spark, Flink).
• Solid understanding of software engineering best practices, including the full development lifecycle, secure coding, and experience building reusable frameworks or libraries.
• Demonstrated ability to independently troubleshoot and resolve complex technical issues.
• A track record of proposing and implementing innovative solutions to technical challenges.