Reliability Engineer, Ai u0026 Data Platforms

Apple • Austin, TX

74d

About The Position

Join the AI and Data Platforms team at Apple, where we build and manage cloud-based data platforms handling petabytes of data at scale. We are looking for a passionate and independent Software Engineer specializing in reliability engineering for data platforms, with a strong understanding of data and ML systems. If you thrive in a fast-paced environment, love crafting solutions that don't yet exist, and possess excellent communication skills to collaborate across diverse teams, we invite you to contribute to Apple's high standards in an exciting and dynamic setting. As part of our team, 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 identifying and resolving production errors and issues to ensure the best data platform experience.

Requirements

• Expertise in designing, building, and operating critical, large-scale distributed systems with a focus on low latency, fault-tolerance, and high availability.
• Experience with contribution to Open Source projects.
• Experience with multiple public cloud infrastructure and managing multi-tenant Kubernetes clusters at scale.
• 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).
• Solid understanding of software engineering best practices, including the full development lifecycle and secure coding.

Nice To Haves

• A learning attitude to continuously improve the self, team, and the organization.
• Experience building reusable frameworks or libraries.

Responsibilities

• Develop and operate big data platform using open source or other solutions.
• Optimize performance and cost of data platforms.
• Automate operations and identify production errors.
• Resolve issues to ensure the best data platform experience.

What This Job Offers

• Career Level: Mid Level
• Industry: Computer and Electronic Product Manufacturing
• Number of Employees: 5,001-10,000 employees