Senior Software Engineer, Retail & Marcom Engineering

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.

Retail and Marcom Engineering, an IS&T team, builds and operates the systems and experiences that connect Apples products with its customers. The team owns the technology behind both Apples online and physical stores and drives the interactive marketing experiences and tools that keep creative operations moving. Together, those functions deliver the technology behind every product story Apple tells and every purchase a customer makes. What the team does: The UniDev team builds the core developer platform and automated toolchains that empower Apple Retail engineers to build, test, and ship software with speed and confidence. From frictionless local development environments to intelligent CI/CD pipelines and pre-deploy integration testing, we eliminate friction and shift quality left so teams can innovate without fear of breaking production.

What you will be doing: In this role, you will architect and scale self-service developer tooling, modern build systems, and automated validation frameworks used daily by retail engineering teams globally. You will partner closely with engineering teams to identify delivery bottlenecks, turning complex workflows into seamless, highly reliable automated pipelines. Your work will directly elevate developer velocity and define how world-class retail experiences are built and deployed.1. Backend Service Architecture: "Design, develop, and maintain robust backend services and developer APIs in Java and Python, applying proven object-oriented design patterns to ensure modularity, extensibility, and maintainability."

2. Performance & Scalability Optimization: "Analyze and optimize core platform algorithms, data pipelines, and distributed data structures to maximize throughput, minimize latency, and scale seamlessly with enterprise demand."
3. Intelligent Workflow Automation: "Author and maintain advanced automation suites that eliminate manual developer overhead and streamline local-to-cloud workflows."
4. Build Systems & Dependency Management: "Modernize and manage enterprise build systems and dependency graphs, slashing build times and ensuring reproducible, deterministic builds across multi-language repositories."
5. Containerization & Continuous Delivery: "Architect containerized pipelines and deployment automation that govern the application lifecycle and enforce rigorous quality gates prior to production."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. Proficiency in Java web (e.g. ServiceTalk, Spring, Dropwizard, Quarkus, Micronaut, etc.) and unit testing frameworks (e.g. JUnit, Mockito, etc.).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. Solid understanding of advanced JVM internals (e.g. garbage collection, memory allocation, JIT, JNI, etc.). Experience with complementary programming languages beyond Java (e.g. Go, Python, Ruby, etc.), including practical use for automation scripting, infrastructure tooling, data processing pipelines, and build system customizations. 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). Comfortable using CI/CD tools to build, test, deploy, and release containerized software applications on cloud-based Kubernetes (e.g. AWS EKS, GCP GKE, Azure AKS, etc.).