Full Stack Software Engineer, Infrastructure Services

Worky; Austin (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Apple is seeking a Full-Stack Engineer to join the Infrastructure Software Development team in a fast-paced environment. You will design and implement features that enable Network and Data Center operation teams to work effortlessly.

AI is used extensively to accelerate engineering and enable end users to solve operational problems. You will collaborate with other groups to deliver elite products in a rapidly changing environment.

Qualifications

• B.S in Computer Science/Computer Engineering or equivalent.
• 3+ years of programming experience (HTML/CSS, JavaScript, React, Java with Spring).
• Experience with NoSQL databases (MongoDB or similar).
• Experience designing AI agentic apps using large language models (LLMs).
• Full-Stack web development with RESTful APIs, HTTP routing, and web server config (Nginx, cloud load balancers).

Responsibilities

• Design and implement features for infrastructure operational software used by data center teams.
• Collaborate with other groups to deliver scalable, high-availability products.
• Work in a fast-paced, AI-enabled development environment.
• Iterate quickly across full stack to deliver tools for operational efficiency.

Skills

HTML/CSS

JavaScript

React

Java with Spring

NoSQL MongoDB

LLMs

RESTful APIs

HTTP handling

Nginx/cloud load balancers

Education

B.S in Computer Science/Computer Engineering

Job description

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.

Minimum Qualifications

• B.S in Computer Science, Computer Engineering or similar or equivalent related work experience.
• 3 years of minimum experience in programming Languages (eg. HTML/CSS, JavaScript, React and Java with Spring).
• Experience with database modeling and entity design patterns using NoSQL Mongodb or similar.
• Experience designing and implementing AI agentic applications leveraging large language models (LLMs).
• Full-Stack Web Development experience building and deploying web applications, with practical expertise in HTTP handling (e.g., RESTful APIs), routing (e.g., dynamic URLs), and web server configuration (e.g., Nginx, cloud load balancers).

Preferred Qualifications

• Strong background in designing, building, and integrating RESTful APIs
• Ability to write test case and debug issues to deliver quality products.
• Strong analytical skills and attention to detail for debugging, optimizing performance, and designing scalable solutions.
• Familiarity with micro-services architecture and how to break down applications into smaller, lighter services.
• Proficiency with Model Context Protocol (MCP) and function/tool calling patterns for autonomous agent behavior.
• Good communication and presentation skills.