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 Senior Infrastructure Engineer - 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 - Other
Engineering - Other
Computers - Software Engineer
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: 200147086 / Latpro-3738414 
Date posted: Apr-22-2020
State, Zip: California, 95014


Senior Infrastructure Engineer

Santa Clara Valley (Cupertino) , California , United States

Software and Services


Posted: Feb 3, 2020

Role Number: 200147086

The security engineering team at Apple creates services that protect over 1 billion users by sequencing the DNA of millions of iOS & macOS binaries. We're seeking full stack engineers to build high-availability & low latency systems, using Python, cloud services, and distributed databases.

Key Qualifications

  • Excellent programming skills in Python. Go experience is a plus.
  • Familiarity with JavaScript and frameworks such as React or Vue.js, sufficient to build web UI for internal systems
  • Highly experienced with building cloud services and distributed systems (AWS, Kubernetes, etc.)
  • Experience with high-availability operations management, including deployment automation and rollback strategies.
  • Effective communication of complex technical concepts
  • Passionate about engineering perfection, performance, and quality
  • Enthusiasm for new technologies and growth


Our team cares deeply about protecting Apple's customers from apps that might compromise their security and privacy. We build systems that scan every binary that developers upload to the App Store and notary service. Here are examples of the kinds of projects you will be working on with us. Restructure a monolithic pipeline into a set of microservices Create a machine learning training/test/validate workflow using Spark and SageMaker to continuously deploy new models Design and build dashboards for analysts to visualize malware behavior Analyze telemetry and optimize performance Automate releases via continuous integration and delivery

Education & Experience

BS in Computer Science or equivalent experience/skills.


See job description


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