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Data Platform SRE, AI & Data Platforms (AiDP)

Apple· AiDP / IS&T
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Hybrid (Austin)Full-timePosted 1mo ago

About the role

Data Platform SRE responsible for developing and operating Apple’s big data platform using open source or other solutions to support analytics, reporting, and AI/ML applications. Focus on performance, cost optimization, automation, and reliability for large-scale distributed data systems.

Responsibilities

  • Develop and operate large-scale big data platforms using open source and other solutions.
  • Support critical applications including analytics, reporting, and AI/ML apps.
  • Optimize platform performance and cost efficiency.
  • Automate operational tasks for big data systems.
  • Identify and resolve production errors and issues to ensure platform reliability and user experience

Qualifications

  • 3+ years of professional software engineering experience with large-scale big data platforms, including strong programming skills in Java, Scala, Python, or Go.
  • Proven expertise in operating large-scale distributed data processing systems with a strong focus on Apache Spark.
  • Hands-on experience with table formats and data lake technologies such as Apache Iceberg, ensuring scalability, reliability, and optimized query performance.
  • Strong background in incident management, including troubleshooting, root cause analysis, and performance optimization in complex production environments.
  • Proficient with cloud technologies such as AWS and GCP
  • Experience with Unix/Linux systems and command-line tools for debugging and operational support.
  • 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 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).
  • A learning attitude to continuously improve the self, team, and the organization.
  • Solid understanding of software engineering best practices, including the full development lifecycle, secure coding, and experience building reusable frameworks or libraries.

Skills

Required:JavaScalaPythonApache SparkAWSGCPLinux/UnixKubernetesData modeling
Nice to have:GoApache IcebergAirflowDBTLLMs/AI/ML stack
Last updated Sep 4, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

AirPods Max 2Apple ArcadeApple CardApple Fitness+Apple MusicApple TVApple TV+Apple Watch Series 11
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