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# Sr Software Engineer (Java) - Ops and Sales Engineering

- **Company:** Apple Inc.
- **Location:** Cupertino, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Spring Security, Artificial Intelligence, Cloud Computing Security, Software Quality, Code Review, Databases, Computer Engineering, Continuous Integration, D3.Js, Data Structures, Software Debugging, Dependency Injection, Software Design Patterns, Distributed Systems, Memory Management, Fault Tolerance, PostgreSQL, Machine Learning, MongoDB, MySQL, Natural Language Processing, NoSQL, Oracle (Applications), Performance Tuning, Query Optimization, Tensorflow, Oop Languages, Microsoft Copilot, Software Engineering, Data Streaming, TypeScript, Management of Software Versions, Pinecone, Spring Cloud, Pytorch, Spring-mvc, ReactJS, System Availability, Large Language Models, Snowflake, Concurrency, Prompt Engineering, Spring-boot, Generative AI, Backend, Spring Data, Pgvector, Scikit Learn, Information Technology, Cassandra, Weaviate, Apache Kafka, Reactive Programming, Claude, Model Inference, Unsupervised Learning, Microservices
- **Published:** October 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/sr-software-engineer-java-ops-and-sales-engineering-cupertino-ca--efbf7805-3959-4c02-8e3d-4f80fd935362

## About the Role

workflows for automated schedule generation and feasibility validation. Build 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 time. Model flexible, performant relational schemas and append-only event stores for comprehensive auditability, state diffing, and scenario sandboxing. Establish technical benchmarks, CI/CD automation, testing frameworks, and observability telemetry across the entire platform ecosystem. Mentor 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. 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.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).

## Description

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.Lead the end-to-end architecture and implementation of our next-generation supply chain planning platform, ensuring high availability, horizontal scalability, and sub-second responsiveness. Architect distributed backend microservices using Java and Python to handle complex temporal data modeling, multi-dimensional milestone dependencies, and state versioning workflows. Design and implement real-time collaborative planning workspaces using React, TypeScript, and custom timeline visualizations (such as D3.js) to support concurrent multi-user planning. Partner closely with Operations Research Data Scientists to integrate mathematical optimization solvers (such as OR-Tools) and AI inference engines into production