Full Stack Software Engineer, Infrastructure Services

Imagine what you could do here. At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The Infrastructure Software Development team is looking for a passionate, self-motivated and hard-working engineer to be part of a diverse, fast paced and high-energy team. You will design and implement features in applications that enable Network and Data Center operation teams to work effortlessly. You will chip in to key and innovative technology which supports major Apple applications, with all the scalability and high-availability requirements that entails. Collaborating with other group’s to lead and deliver elite products in an exciting rapidly changing environment.

Full-Stack Engineers are versatile software developers tasked with designing, building, and maintaining infrastructure operational software applications in a fast-paced, agile engineering environment. In this role, they are responsible for various essential functions across the full stack development lifecycle, iterating quickly to deliver tools that support datacenter and infrastructure operations. AI is used extensively — not only to accelerate the engineering of these products, but also to enable end users to solve operational problems directly. Experience with AI agentic applications is essential, including multi-agent systems, MCP functions, and LLM-based tool use.

Minimum Qualifications

• B.S. in Computer Science, Computer Engineering, or equivalent practical work experience.
• 5+ years of software development experience, with a strong focus on Java, Spring, and Spring Boot as a core backend framework for microservices
• Demonstrated experience designing, building, and deploying microservices architectures.
• Experience with database modeling and entity design patterns using NoSQL MongoDB or similar databases.
• Experience designing and implementing AI agentic applications leveraging large language models (LLMs).
• Practical expertise in backend web architecture, including HTTP handling (RESTful APIs), routing, and web server configuration (e.g., Nginx, cloud load balancers).

Preferred Qualifications

• Proficiency with Model Context Protocol (MCP) and function/tool calling patterns for autonomous agent behavior.
• Strong background in designing, building, and integrating high-performance RESTful APIs.
• Ability to write comprehensive test cases and debug complex issues to deliver quality products.
• Strong analytical skills and attention to detail for debugging, performance optimization, and scalable system design.
• Familiarity with modern frontend technologies such as React JS is a plus.
• Excellent communication and presentation skills.