900 jobs for "Production Systems Expert"

Data Platform SRE, AI & Data Platforms (AiDP)

At Apple - Austin

Posted on Oct 17

View job Apply on company site

Downstream Planning Leader

At Schneider Electric - Red Oak · Goodyear

Posted on Oct 20

View job Apply on company site

Electrician Journeyperson - Rochester

At General Motors - Rochester

Posted on Oct 17

View job Apply on company site

ML Infrastructure Engineer - ML Compute Capacity

At Apple - Santa Clara

Posted on Oct 17

View job Apply on company site

Staff Cybersecurity Software Engineer - Authorization Services

At General Motors - Austin · Mountain View

Posted on Oct 17

View job Apply on company site

Lead SRE (NSX-T) - Infrastructure & Networking

At JPMorgan Chase - Ciudad Autonoma Buenos Aires

Posted on Oct 20

View job Apply on company site

Machine Learning Engineer, Information Security

At Apple - Seattle

Posted on Oct 16

View job Apply on company site

Entry-Level - AI and Machine Learning for Automation Researcher

At General Motors - Warren

Posted on Oct 12

View job Apply on company site

Senior Software Engineer (Casualty / Claims Intelligence)

At CCC Intelligent Solutions - Remote / Flexible

Posted on Nov 3

View job Apply on company site

Maintenance Technician

At CRH - Franklin

Posted on Nov 5

View job Apply on company site

Systems Engineering Associate

At DTCC - Hyderabad

Posted on Oct 27

View job Apply on company site

Senior Data Management Engineer - Electricity Market

At Hitachi Energy - Santa Clara

Posted on Nov 6

View job Apply on company site

Principal Engineer

At Aristocrat - Las Vegas

Posted on Oct 22

View job Apply on company site

Senior Production Support Engineer

At MarketAxess - London

Posted on Oct 28

View job Apply on company site

Senior Mainframe Systems Programmer - ISV

At Ensono - Remote / Flexible

Posted on Nov 5

View job Apply on company site

Industrial Engineer Technician I, Sun - Tues, Sun - Wed, 6:00 AM - 6:00 PM)

At Jabil - Florence

Posted on Nov 6

View job Apply on company site

Senior Manufacturing Engineer I

At Altria Group, Inc. - Richmond

Posted on Nov 6

View job Apply on company site

Mongo DB Administrator

At Kyndryl - Remote / Flexible

Posted on Nov 5

View job Apply on company site

Senior Embedded Software Engineer - Automotive Systems

At Aptiv - Chennai

Posted on Nov 6

View job Apply on company site

Webcast Producer (Contract Talent)

At Robert Half - CA SAN RAMON CORP

Posted on Nov 6

View job Apply on company site

Apple

Data Platform SRE, AI & Data Platforms (AiDP)

Austin, TXPosted 22 days ago

Apply on company site View full job

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple's Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It's Apple's central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless. Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.

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.

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

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 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 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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology

View company profile