Data Platform SRE, AI & Data Platforms (AiDP)

Apple Inc.
Austin, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 221K

Job location

Austin, United States of America

Tech stack

Query Performance
Java
Artificial Intelligence
Airflow
Apache HTTP Server
Application Frameworks
Big Data
Command-Line Interface
Computer Programming
Data Infrastructure
Data Warehousing
Software Debugging
Distributed Computing Environment
Distributed Systems
Fault Tolerance
Python
Open Source Technology
Performance Tuning
Systems Development Life Cycle
Reliability Engineering
Scala
Secure Coding
Software Construction
Software Engineering
Graphics Processing Unit (GPU)
System Availability
Large Language Models
Spark
Data Lake
Kubernetes
Free and Open-Source Software
Data Management
Machine Learning Operations
Data Pipelines

Job description

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 identifying and resolving production errors and issues to ensure the best data platform experience.","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

Requirements

Do you have experience in UNIX?, 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., 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.

Minimum 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 designing, building, and 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.

Skilled at coding for distributed systems and developing resilient data pipelines.

Strong background in incident management, including troubleshooting, root cause analysis, and performance optimization in complex production environments.

Proficient with Unix/Linux systems and command-line tools for debugging and operational support.

Benefits & conditions

Pulled from the full job description

  • Employee stock purchase plan
  • Health insurance
  • Retirement plan
  • Dental insurance
  • RSU, At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $220,900, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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