- 7+ years programming experience in languages such as Golang, Python, Java, Rust, C/C++ etc.
- Proven track record of building large scale, cloud based complex distributed large-scale Kubernetes based systems; identifying shortcomings and optimization opportunities; and making data driven cost performance tradeoffs to influence design decisions
- Experience managing cloud environments (AWS, Google Cloud Platform) infrastructure as code (IaC)
- Experience building and operating infrastructure and tools that empower developers/product teams to deliver business value
- Experience leading strong technical teams that balance operational excellence, collaboration and user needs
- B.S., M.S., or Ph.D. in Computer Science, Computer Engineering, or equivalent practical experience.
- 10+ years of experience in cloud infrastructure and distributed systems engineering
- Strong Proficiency in Go or Rust with experience in building automation tools and distributed systems
- Proficiency in Kubernetes controller development and automating cluster management
- Strong knowledge of CI/CD frameworks and DevOps practices
- Familiarity with monitoring and observability tools to ensure high availability and performance
- Strong problem-solving skills, capable of debugging issues that span heterogenous compute environments
- Excellent communication and collaboration skills, with a proven ability to work across engineering teams and influence architectural decisions
Company
Location
No Office Location - United States of America
Job type
Full-Time
Golang Job Details
Are you a passionate software engineer eager to design and build cloud-native infrastructure platforms at Apple scale for Siri, Search, and AI/ML products? We're seeking a talented software engineering leader with deep expertise in infrastructure and distributed systems to architect and develop scalable, cloud-native platforms that leverage cutting-edge technologies, machine learning, and open source to power seamless and intelligent experiences for billions of Apple users. If you're excited about driving innovation and building resilient systems that support Apple's global AI/ML initiatives, we'd love for you to join our team!
Description The MLPT Cloud Infrastructure Team at AI/ML is responsible for designing, building, and scaling the foundational platforms and services that power Siri, Search, and other cutting-edge products. Whether it's streamlining service delivery through CI/CD pipelines, automating infrastructure management or optimizing performance across multi-cloud environments, we are committed to building the next-generation platform for Apple's most innovative products. Key Responsibilities: Architect and develop scalable cloud-native platforms to support the deployment and operation of Apple's AI/ML services and applications. Lead the design and implementation of distributed systems that are resilient, secure, and optimized for high performance. Collaborate with AI/ML teams and other infrastructure engineers to ensure seamless integration of platform solutions into machine learning workflows. Drive the adoption of cloud-native technologies across the organization, influencing architectural decisions and best practices. Troubleshoot complex infrastructure issues, ensuring optimal performance and reliability across multi-cloud environments. Mentor junior engineers and contribute to the team's overall growth and technical excellence.
Minimum Qualifications
Preferred Qualifications
Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
Description The MLPT Cloud Infrastructure Team at AI/ML is responsible for designing, building, and scaling the foundational platforms and services that power Siri, Search, and other cutting-edge products. Whether it's streamlining service delivery through CI/CD pipelines, automating infrastructure management or optimizing performance across multi-cloud environments, we are committed to building the next-generation platform for Apple's most innovative products. Key Responsibilities: Architect and develop scalable cloud-native platforms to support the deployment and operation of Apple's AI/ML services and applications. Lead the design and implementation of distributed systems that are resilient, secure, and optimized for high performance. Collaborate with AI/ML teams and other infrastructure engineers to ensure seamless integration of platform solutions into machine learning workflows. Drive the adoption of cloud-native technologies across the organization, influencing architectural decisions and best practices. Troubleshoot complex infrastructure issues, ensuring optimal performance and reliability across multi-cloud environments. Mentor junior engineers and contribute to the team's overall growth and technical excellence.
Minimum Qualifications
Preferred Qualifications
Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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