Sr Software Engineer (Java) Business Process Reengineering (BPR) and Sales Engineering

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world Join Apples Information Systems and Technology (ISu0026T) organization. nnISu0026T is the engine behind everything Apple does for customers and for the people who build for them. Its Apples 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 ISu0026T makes the impossible feel effortless. nnSales and Operations Engineering is part of ISu0026T and drives the technology behind Apples 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 Apples technology and business priorities move in lockstep.

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 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.

Lead the end-to-end architecture and implementation of our next-generation supply chain planning platform ensuring high availability horizontal scalability and sub-second distributed backend microservices using Java and Python to handle complex temporal data modeling multi-dimensional milestone dependencies and state versioning and implement real-time collaborative planning workspaces using React TypeScript and custom timeline visualizations (such as ) to support concurrent multi-user closely with Operations Research Data Scientists to integrate mathematical optimization solvers (such as OR-Tools) and AI inference engines into production workflows for automated schedule generation and feasibility event-driven data streaming pipelines and integration contracts using Apache Kafka and Snowflake to synchronize upstream operational inputs with downstream enterprise execution systems in real flexible performant relational schemas and append-only event stores for comprehensive auditability state diffing and scenario technical benchmarks CI/CD automation testing frameworks and observability telemetry across the entire platform software engineers through architectural reviews code reviews and design sessions while aligning technical roadmaps with global business objectives.

B.S. in Computer Science Computer Engineering or a related technical field or equivalent professional work experience.n5years proven experience developing software in a professional capacity. Longer experience preferred.n2years proven experience with Java including proficiency in concurrency memorymanagement and performance optimization in OOP principles data structures algorithms and software design patterns (e.g. GoF) with a proven focus on implementing testable maintainable and extensible backend codenExperience 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 designing implementing and shipping high-scale high-performance highly available fault-tolerant and secure cloud-based distributed 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.

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