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Salary
≈ $192k – $388k per year (Estimated)
Location
In office (Cupertino)
Seniority
Senior · 5+ years exp
Visa
H-1B filings in 12 months: 6,350 · for this role: 276 · green card filings: 37

Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Oct 6, 2026. Apple scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Apple is an American multinational technology company founded in 1976 by Steve Jobs, Steve Wozniak and Ronald Wayne, and headquartered in Cupertino, California. It designs and sells consumer hardware including the iPhone, Mac, iPad, Apple Watch, AirPods and Vision Pro, together with the operating systems and silicon that run them. A growing services division built around the App Store, iCloud, Apple Music, Apple TV+ and Apple Pay now contributes a large share of profit, making Apple one of the most valuable companies in the world.

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization.

IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless.

Sales and Operations Engineering is part of IS&T and drives the technology behind Apple's global operations, sales, and supply chain. The team connects the systems that move products from factory to customer - bridging sales platforms with the operational infrastructure that keeps Apple running at scale and ensuring Apple's technology and business priorities move in lockstep.

Description

Our team builds mission-critical enterprise platforms that coordinate complex global operations across worldwide cross-functional organizations. We operate at the intersection of supply chain domain complexity, modern distributed architecture, and cutting-edge artificial intelligence, solving hard engineering problems around temporal dependency modeling, real-time collaboration, and automated schedule optimization.

As the Senior Technical Lead for our next-generation operations and supply chain platform, you will lead the technical design, evolution, and delivery of high-throughput distributed systems that coordinate complex, multi-tier operational schedules and readiness pipelines worldwide.

Minimum Qualifications

B.S. in Computer Science, Computer Engineering, or a related technical field, or equivalent professional work experience.

5+ years proven experience developing software in a professional capacity. Longer experience preferred.

2+ years proven experience with Java, including proficiency in concurrency, memory management, and performance optimization techniques.

Proficiency in OOP principles, data structures, algorithms, and software design patterns (e.g. GoF), with a proven focus on implementing testable, maintainable, and extensible backend code

Experience building production applications with the Spring ecosystem (e.g. Spring Boot, Spring MVC, Spring Security, Spring Data, Spring Cloud, etc.), including proficiency in dependency injection, auto-configuration, reactive programming with WebFlux, and designing microservices using Spring-based patterns.

Experience designing, implementing, and shipping high-scale, high-performance, highly available, fault-tolerant, and secure cloud-based distributed systems.

Experience with AI/ML technologies, including building and deploying production ML models using modern frameworks (e.g. TensorFlow, PyTorch, scikit-learn, etc.) and applying supervised/unsupervised learning techniques to real-world problems.

Preferred Qualifications

Track record of leading software projects within a team as a tech lead (TL), while mentoring software engineers.

Hands-on experience leveraging GenAI coding tools (e.g., Claude, Copilot, Codex) to accelerate the software development lifecycle, enhance code quality, and streamline debugging and testing processes.

Experience with Natural Language Processing and Generative AI systems, including Large Language Models (LLMs), Retrieval Augmented Generation (RAG) architectures, embedding pipelines, vector databases (e.g. Pinecone, Weaviate, pgvector, etc.), fine-tuning, and prompt engineering for production applications.

Experience using relational (e.g. Oracle, Postgres, MySQL, etc.) and NoSQL (e.g. Cassandra, MongoDB, etc.) databases, including proficiency in schema design, query optimization, performance tuning (e.g. execution plan analysis, indexing strategy, and query rewriting).

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