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 Senior Software Engineer - Apple Cloud Services - Cupertino, California, United States

   
Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - DB Mgmt. Systems
 
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
 
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200185008 / Latpro-3749913 
Date posted: Aug-11-2020
State, Zip: California, 95014

Description

Senior Software Engineer - Apple Cloud Services

Santa Clara Valley (Cupertino) , California , United States

Software and Services

Summary

Posted: Aug 10, 2020

Weekly Hours: 40

Role Number: 200185008

Do you love solving complex challenges? Are you an inventive self-starter who takes pride in making ideas come to life on a global scale? Are you passionate about developing big-data platforms using creative algorithms to process petabytes of data with very low latency? If so, join Apple Cloud Services (ACS) Big Data team to design and build a scalable big-data platform that is used across Apple. As part of Apple Cloud Services (ACS) you will have a meaningful role in designing, developing, and deploying high-performance systems that handle billions of queries every single day. This enormous scale brings challenges that require extraordinarily creative problem solving. By focusing on and respecting the customer's needs, you'll be responsible for helping us build the technology that works for so many customers around the world. We are looking for Engineers and Architects who are passionate about crafting big-data products. This role requires deep understanding of developing products that are highly scalable, highly available and fully fault tolerant. Understanding of various big-data technology concepts such as Parallel Processing in MapReduce or Spark, indexing technology used in searching, query processing using NoSQL technologies is a requirement. This is a small and exclusive technology team focused on addressing all the big-data processing needs for iCloud. We are developing a platform that can accomplish any task with an intuitive, simple to use user interface, and easy deployment to production. Come check us out!

Key Qualifications

  • Coding experience in Java, preferably with critical, large-scale distributed systems
  • Ability to design large-scale, complex applications with excellent run-time characteristics such as low-latency, fault-tolerance and availability
  • 5+ years experience in Hadoop/Spark ecosystems
  • A learning attitude to continuously improve self, team, and the organization
  • Deeply concerned about excellence and quality
  • Loves fast paced environment and learning new technologies
  • Fluent knowledge with at least two of the following: Spark streaming, MapReduce, HDFS,
  • Cassandra, Kafka

Description

Come join a small team writing the software which forms the foundation for some of our most exciting products and services. - Architect, design and build a framework that can ingest billions of records in a minute, can process and aggregate petabyte scale of data - Develop a big data infrastructure that is highly scalable, available with end to end monitoring capabilities - Advise data engineers and Analysts on solving their data access requirements - Develop and deploy algorithms that tackle big data problems

Education & Experience

Bachelors, Masters or PhD in Computer Science APPLE IS AN EQUAL OPPORTUNITY EMPLOYER THAT IS COMMITTED TO INCLUSION AND DIVERSITY. WE ALSO TAKE AFFIRMATIVE ACTION TO OFFER EMPLOYMENT AND ADVANCEMENT OPPORTUNITIES TO ALL APPLICANTS, INCLUDING MINORITIES, WOMEN, PROTECTED VETERANS, AND INDIVIDUALS WITH DISABILITIES. APPLE WILL NOT DISCRIMINATE OR RETALIATE AGAINST APPLICANTS WHO INQUIRE ABOUT, DISCLOSE, OR DISCUSS THEIR COMPENSATION OR THAT OF OTHER APPLICANTS.



Requirements

See job description

 

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