Apple
Internship - Distributed Build System
🌎
London, England, United Kingdom
1d ago
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Job Description
Description
Description
As an intern in SWE Developer Productivity, you’ll learn how Apple builds & releases software and you’ll be encouraged to research established distributed system techniques to apply to our unique domain in order to achieve high performance, reliability and long-term maintainability. You’ll have space to perform experiments, make recommendations, and ultimately changes, to our infrastructure to realise its full potential. You’ll then ultimately have a chance to present your work to our leadership team. In your role as an intern on our team you will: * Spend the majority of your time building distributed services & tooling in Swift, deploying frequently with Kubernetes & profiling changes with Xcode or distributed tracing tooling. * Contribute to engineering a high-performance system through algorithm design, optimization, and performance testing, helping scale to ever-increasing problem sizes. * Have access to the engineers who create Apple’s full technology, tools, and operating systems stack. Here you’ll find that we: * Provide a supportive, respectful, and balanced work environment. * Value curiosity, and obsess over the customer experience. * Have a wide range of experience, from new engineers to Apple veterans.
Minimum Qualifications
Minimum Qualifications
- Enrolled in a course of a related field, aiming towards a Bachelor’s degree or higher.
- Experience with high-performance, strongly typed languages such as Swift, Rust, C++, Scala, or others.
- Familiarity with distributed storage and/or distributed compute systems.
- Interest in distributed systems, reliability, and cloud services.
Key Qualifications
Key Qualifications
Preferred Qualifications
Preferred Qualifications
- Familiarity with cloud compute/storage technologies like Kubernetes and Cassandra.
- Familiarity with application and service monitoring tools and techniques.
- Familiarity with virtualisation/containerisation technology.
- Understanding of distributed systems’ problems & algorithms.
Education & Experience
Education & Experience
Additional Requirements
Additional Requirements
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