Reliability Engineer, Ai & Data Platforms
@ Apple

Austin, Texas, United States
$150,000
On Site
Full Time
Posted 23 days ago

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Job Details

Overview

Join the AI and Data Platforms team at Apple as a Reliability Engineer, Ai & Data Platforms. You will build and manage cloud-based data platforms handling petabytes of data at scale. This role targets a passionate, independent software engineer with deep expertise in reliability engineering, data, and ML systems.

Key Responsibilities

  • Develop and operate big data platforms for analytics, reporting, and AI/ML applications.
  • Optimize performance and cost while automating operations.
  • Identify and resolve production errors, ensuring a superior data platform experience.
  • Contribute to building resilient data pipelines and distributed systems.
  • Leverage Unix/Linux systems and command-line tools for debugging and operational support.

Minimum Qualifications

At least 3 years in software engineering with large-scale big data platforms and proficiency in Java, Scala, Python, or Go. Demonstrated expertise in Apache Spark, data lake technologies like Apache Iceberg, and experience in incident management with root cause analysis.

Preferred Qualifications

  • Experience in low latency, fault-tolerant, and highly available distributed systems.
  • Hands-on contribution to Open Source projects.
  • Familiarity with public cloud infrastructure and multi-tenant Kubernetes clusters.
  • Knowledge of data pipeline orchestration tools such as Airflow and DBT.
  • Understanding of data modeling, warehousing, and the AI/ML stack.

Key skills/competency

  • Reliability Engineering
  • Big Data Platforms
  • Cloud Computing
  • Apache Spark
  • Data Lake Technologies
  • Distributed Systems
  • Incident Management
  • Programming (Java/Scala/Python/Go)
  • Unix/Linux
  • Kubernetes

How to Get Hired at Apple

🎯 Tips for Getting Hired

  • Customize your resume: Tailor your skills to reliability engineering.
  • Highlight big data expertise: Emphasize Apache Spark and cloud experience.
  • Prepare for technical tests: Practice coding in Java, Scala, Python, or Go.
  • Research Apple culture: Understand mission, values, and team dynamics.

📝 Interview Preparation Advice

Technical Preparation

Review Apache Spark documentation.
Practice coding in Java and Python.
Study cloud platform architectures.
Familiarize with Unix/Linux troubleshooting.

Behavioral Questions

Describe a time you handled a production incident.
Explain teamwork in solving technical challenges.
Discuss handling tight project deadlines.
Share examples of self-driven project improvements.

Frequently Asked Questions