Job Description
Summary
People at Apple don’t just build products — they craft the kind of experience that has revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Imagine what you could do here! Join Apple, and help us leave the world better than we found it.
The Apple Service Engineering(ASE) team builds and provides systems and infrastructure that power Apple’s services (such as iCloud, iTunes, Siri, and Maps). We are the foundation on which Apple’s software developers build the products that our customers love. Our services have to scale globally, stay highly available, and "just work.” If you love designing, engineering and running systems and infrastructure that will help millions of customers, then this is the place for you!
Apple Service Engineering (ASE)’s Compute team is seeking an experienced software engineer to build and enhance Kubernetes clusters and associated infrastructure that can scale to meet the demands of Apple’s Services offerings. You will work with world-class engineers on core components of Kubernetes, customize it to help fit Apple’s diverse needs with an emphasis on GPUs, and engage with the upstream community to drive Apple’s requirements. Ultimately, you will help build the platform that delivers our applications at scale to our end users.
The Apple Service Engineering(ASE) team builds and provides systems and infrastructure that power Apple’s services (such as iCloud, iTunes, Siri, and Maps). We are the foundation on which Apple’s software developers build the products that our customers love. Our services have to scale globally, stay highly available, and "just work.” If you love designing, engineering and running systems and infrastructure that will help millions of customers, then this is the place for you!
Apple Service Engineering (ASE)’s Compute team is seeking an experienced software engineer to build and enhance Kubernetes clusters and associated infrastructure that can scale to meet the demands of Apple’s Services offerings. You will work with world-class engineers on core components of Kubernetes, customize it to help fit Apple’s diverse needs with an emphasis on GPUs, and engage with the upstream community to drive Apple’s requirements. Ultimately, you will help build the platform that delivers our applications at scale to our end users.
Description
As part of the ASE Compute organization, you will:
- Partner with teams across Apple to develop features and functionality that enable Kubernetes clusters to meet their needs around container orchestration and efficient usage of GPUs.
- Improve the scalability, availability, and performance of our services centered around Kubernetes
- Evolve the design and architecture to support continued growth while ensuring customer satisfaction and smooth operations
- Partner with SRE to triage, investigate, and remediate production issues
- Partner with teams across Apple to develop features and functionality that enable Kubernetes clusters to meet their needs around container orchestration and efficient usage of GPUs.
- Improve the scalability, availability, and performance of our services centered around Kubernetes
- Evolve the design and architecture to support continued growth while ensuring customer satisfaction and smooth operations
- Partner with SRE to triage, investigate, and remediate production issues
Minimum Qualifications
- Bachelor’s Degree in an engineering-related field, or equivalent related experience.
- Strong experience with building and scaling core components of Kubernetes or similar orchestration systems
- Highly proficient in Golang
- Experience building and operating large-scale distributed systems
Preferred Qualifications
- Ability to drive a project from a simple idea to production
- Excellent verbal and written communication skills to effectively collaborate with multidisciplinary teams.
- Ability to articulate complex technical concepts to both technical and non-technical stakeholders.
- Experience with enabling GPUs and related networking and scheduling infrastructure on Kubernetes clusters is preferred.
Pay & Benefits
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