Platform Engineer

Apple Inc.•Cupertino, CA

34d

About The Position

We seek a Platform Engineer with a strong product and systems mindset to architect, design, and deliver the next-generation platform powering Apple's global supply chain. In this high-impact, ownership-driven role, you'll define a scalable, data-driven ecosystem's technical blueprint, setting the foundation for data flow and decision-making. You'll assess our current technical landscape, design a modern, future-proof solution ready for emerging technologies like MCP and Agentic AI, and work cross-functionally with product managers, data engineers, software development, and operations teams.- Propose a modern architecture that scales with business growth and is ready for emerging technologies.

Requirements

Proven track record of designing and implementing scalable platforms, including architectural planning and end-to-end execution.
Strong proficiency in backend (Python, Java, or Go, API design and services), frontend (React, Next.js, equivalent frameworks), and database (relational and non-relational models like Postgres, MongoDB, Redis, Snowflake).
Experience with data modeling, ETL design, and API-first integration patterns.
Solid understanding of cloud-native architectures with a focus on AWS, familiarity with infrastructure-as-code concepts (Terraform, CDK, or equivalent).
Proven experience assessing existing systems and driving architectural modernization or platform migrations for improved scalability, maintainability, and performance.
Excellent communication and leadership skills to align stakeholders and translate complex technical decisions into actionable plans.
A strong sense of ownership, curiosity, and pragmatism to balance ideal architecture with business realities.
Utilizes emerging technologies like GenAI, Frontier models, or LLM-enabled services to accelerate and drive continuous improvement of design processes.

Responsibilities

Own the end-to-end design process, leading architectural decisions across frontend, backend, and data layers.
Drive hands-on implementation, from defining APIs and data contracts to building core services and tools.
Design and implement data models that accurately represent complex supply chain entities.
Collaborate with teams to ensure the platform delivers measurable business impact and supports critical workflows.
Build for observability, reliability, and maintainability, ensuring systems scale and evolve with changing demands.
Design systems for resilience and scalability, incorporating principles like horizontal scaling, redundancy, and disaster recovery.
Provide technical guidance and mentorship to engineering teams, fostering best practices in system design, code quality, and documentation.

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