Sr Software Engineer (Java) - Ops and Sales Engineering
Senior technical lead on Apple's IS&T Sales & Operations Engineering team, designing and delivering the next-gen operations/supply chain platform: high-throughput Java/Spring microservices and cloud distributed systems, with AI/ML (TensorFlow, PyTorch, LLMs, RAG) applied to global scheduling and readiness pipelines.
- Compensation
- Not disclosed
- Location
- Cupertino
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Sales
- Posted
Skills
Must have
- B.S. in Computer Science, Computer Engineering, or related technical field, or equivalent professional work experience
- 5+ years proven experience developing software in a professional capacity (longer preferred)
- 2+ years proven experience with Java, including concurrency, memory management, and performance optimization
- Proficiency in OOP principles, data structures, algorithms, and design patterns (e.g. GoF), with focus on testable, maintainable, extensible backend code
- Production experience with the Spring ecosystem (Spring Boot, MVC, Security, Data, Cloud), including dependency injection, auto-configuration, WebFlux reactive programming, and Spring-based microservi
- 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 with frameworks like TensorFlow, PyTorch, scikit-learn, and applying supervised/unsupervised learning
Nice to have
- Track record of leading software projects as a tech lead while mentoring engineers
- Hands-on experience leveraging GenAI coding tools (e.g. Claude, Copilot, Codex) in the software development lifecycle
- Experience with NLP and Generative AI systems: LLMs, RAG architectures, embedding pipelines, vector databases (e.g. Pinecone, Weaviate, pgvector), fine-tuning, and prompt engineering
- Experience with relational (Oracle, Postgres, MySQL) and NoSQL (Cassandra, MongoDB) databases, including schema design, query optimization, and performance tuning
Full description
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.
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.