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DevOps Eng
LOS ANGELES CA 90001
Category: Computing, Publishing
  • Your pay will be discussed at your interview

Job code: lhw-e0-84554480

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Apple

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  Job posted:   Wed Feb 14, 2018
  Distance to work:   ? miles
       
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DevOps Eng

# DevOps Eng


Job Number: 113489019

Santa Clara Valley, California, United States

Posted: 09-Feb-2018

Weekly Hours: 40.00


**Job Summary**

Our team is looking for a talented engineer who is passionate about building systems and continuous delivery to deploy new Siri functionality to internal users and customers as soon as possible. You will play a key role in designing and building tools and systems that Siri, and other teams at Apple, will use to implement and monitor automated development pipelines.

Join the Siri team!




**Key Qualifications**

* 4+ years of JavaScript application development and testing (e.g. Node.js, JavaScript, ES6, Mocha)

* 2+ Years of development experience with server-side Java and web services

* Experience in server side scalability and concurrency

* Exposure to project builds using Gradle or Maven

* Experience with Software Version Control systems: GIT, (GitHub knowledge is a plus)

* Self-motivated, detail-oriented, excellent problem solving ability and critical thinking

* A desire to write tools and applications to automate work rather then do everything by hand*


**Description**

You will play a part in the next revolution in human-computer interaction. You will contribute to a product that is redefining mobile computing. You will create groundbreaking technology for large-scale systems, spoken language, big data, and artificial intelligence. You will also work with the people who created the intelligent assistant that helps millions of people get things done -- just by asking.




**Education**

Bachelor's degree in Computer Science or Information Systems or 5+ years equivalent experience in an engineering role.




**Additional Requirements**


- Continuous Integration and Continuous Delivery experience for JavaScript, NodeJS, ReactJS applications at large scale

- Experience with front-end internal tools

- Experience writing tools to automate repetitive tasks

- Experience using Docker or other container systems

- Linux systems experience: ssh, monitoring processes, attaching storage, cleaning disk space, tailing logs, etc.

- Experience working with server clusters consisting of hundreds or thousands of machines using tools such as: AWS, OpenStack, Mesos etc.





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