Full Stack Software Engineer, Infrastructure Services
Oct 2, 2026
About us
Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.
- Size: 10,000+ employees
- Industry: Technology: Manufacturing
Why you should apply for a job to Apple:
Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity
Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›
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.
Description
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.
","responsibilities":"Design, develop, and maintain secure and scalable server-side applications using Java and Spring Boot.
Architect and integrate scalable RESTful APIs and microservices architectures.
Design and implement robust database models and entity design patterns using NoSQL MongoDB or similar databases.
Conduct thorough code reviews, debugging, integration testing, and deploy robust solutions to production environments.
Collaborate closely with customers, product managers, designers, and other developers to translate user requirements into functional and efficient applications.
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.
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).
Description
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.
","responsibilities":"Design, develop, and maintain secure and scalable server-side applications using Java and Spring Boot.
Architect and integrate scalable RESTful APIs and microservices architectures.
Design and implement robust database models and entity design patterns using NoSQL MongoDB or similar databases.
Conduct thorough code reviews, debugging, integration testing, and deploy robust solutions to production environments.
Collaborate closely with customers, product managers, designers, and other developers to translate user requirements into functional and efficient applications.
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.
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).
Additional Information
- Posted: Oct 2, 2026