Multi-Cloud Solutions Architect

Weekly Hours: 40

Role Number: 200626058-0157

Summary

Would you call yourself cloud native and does cloud solutions architecture excite you? Do you love crafting elegant solutions to complex challenges? Do you understand the business aspects of building and operating cutting edge cloud services?

The Cloud Infrastructure Business Operations team sits at the intersection of business and technology and we enable Apple’s engineers to deliver incredible experiences to our customers. We collaborate with engineers and business partners from across Apple and provide cloud infrastructure guidance and decision support.

Description

In this role, you will help Apple engineering teams design and implement solutions for complex technical challenges. You will provide strategic direction, mitigate risks, and deliver solutions tailored to business needs. Whether migrating existing workloads or building advanced cloud-native architectures, you will play a critical role in improving agility, enhancing security, optimizing costs, and ensuring efficient cloud utilization.

You bring a balance of technical depth and strong interpersonal skills to drive collaboration across the organization. You will work closely with engineering, infrastructure, platform, and operations teams to align on architecture and best practices. Your focus will be on guiding teams through key architectural decisions and ensuring the effective use of cloud computing services to maximize business value.

Minimum Qualifications

• Bachelor's Degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.

• Experience designing and deploying scalable solutions architectures, with a focus on distributed systems and cloud-native technologies.

• Experience with major cloud platforms (AWS, GCP, Azure) and their core services, including security and cost optimization best practices.

• Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes) for pod-based service deployment and operations.

• Experience with cloud migrations, including refactoring existing workloads and designing new cloud-native applications.

Preferred Qualifications

• Advanced Degree (Master’s or PhD) in Computer Science, Engineering, or a related discipline.

• Strong problem-solving and risk mitigation skills, with the ability to assess trade-offs in architectural decisions.

• Ability to collaborate effectively across multiple teams to drive alignment on architecture and operations.

• Excellent communication and consulting skills, with the ability to influence stakeholders at all levels.

• Experience leading technical engagements and guiding teams through complex cloud transformations.

• Experience as a solutions architect covering major cloud service providers and their infrastructure and platform service portfolios.

• Experience optimizing cloud infrastructure to balance cost, security, and performance while meeting utilization targets.

• Ability to analyze large data sets to provide insights that drive architectural and operational decisions.

• Deep understanding of GPU acceleration and high-performance computing, including experience with NVIDIA GPUs like A100, H100, L40, and emerging architectures, as well as cloud-specific accelerators like AWS Inferentia, AWS Trainium, and Google TPUs.

• Familiarity with large language models (LLMs), transformer architectures, and generative AI frameworks.

• Understanding of data lake architectures and real-time analytics platforms, including open-source solutions like Apache Hadoop, Apache Iceberg, and Trino.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .