Sr. Software Engineer, Enterprise Technology Services (Forge)

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.Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.

At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences. Bring passion and dedication to your job and there's no telling what you could accomplish. That same passion for innovation that goes into our products also applies to our practices, strengthening our dedication to leave the world better than we found it!

Most software engineering roles hand off testing to one team and operations to another. Here you own all of it. As a Software Engineer on Forge, you'll design, build, test, ship, and run the platform Apple's engineering teams build on, working closely with those teams to find where the infrastructure beneath them gets in the way and fixing it.

Forge is part of Enterprise Technology Services (ETS), within Apple's Information Systems and Technology (IS&T) organization, the engine behind everything Apple does for customers and for the people who build for them. Forge is building the platform Apple's engineering organizations can use to take a service from code to running in production. That path has traditionally run through a series of separate specialist systems. We are bringing it together on a common platform with a shared core, so a team goes from allocated capacity to a live production service without assembling the pieces themselves. Our job is to get teams to production quickly, on a platform that stays secure and reliable without them having to think about it.

Our charter is deliberately wide and still growing, reaching from the physical fleet in the data center to the surfaces engineering teams build against, and extending into new environments and new classes of infrastructure as Apple's needs evolve. We are a small team with outsized reach, bringing an AI-first mindset to how the platform operates and improves itself, and the best work we do takes one team's hardest problem and turns it into a capability every team inherits.

Description

You will work with product owners, infrastructure owners, and partner engineers to turn ambiguous, high-impact problems into clean solutions. You'll own products that ETS teams depend on every day. You will also help define how AI agents work in production alongside humans, in the same codebases our engineers ship to daily.

The role mixes product engineering with hands-on integration work. You may start closer to one than the other, and you should be comfortable moving between them as the work changes.

We are looking for strong full-stack engineers who have owned work through production, have built something with LLMs or agents, can design securely and for scale, and want to grow into leading designs and mentoring others.

Minimum Qualifications

B.S. in Computer Science, Computer Engineering, or a related field, or equivalent professional experience

5+ years of professional software development, with a track record of owning features or integrations through production

Full-stack experience: a backend language such as Java (Spring Boot or similar) and a modern web UI framework such as React or Angular

Experience designing features with security principles (threat modeling, authentication and authorization, least privilege, secure data handling) and scalable patterns (stateless services, caching, asynchronous messaging, retries, circuit breakers, back-pressure), and explaining your trade-offs in design reviews

Have built an LLM- or agent-based feature, whether in production, as a prototype, or as a significant project, and can describe how you designed it and evaluated its reliability

Strong fundamentals in data structures, design patterns, REST API design, and relational databases

Hands-on observability experience: instrumenting applications with metrics, logs, and traces, and building dashboards and alerts

A record of learning new technologies quickly, working through ambiguity, and communicating clearly across teams

Preferred Qualifications

Shipped agentic features to production, including tool integrations, retrieval pipelines, evaluation, and guardrails

- Python, including LLM APIs or agent frameworks

- Daily use of GenAI coding tools (Claude, Copilot, Codex) to speed up development, testing, and debugging

- Schema design, query optimization, and performance tuning on PostgreSQL, Oracle, or MySQL

- Data modeling and reconciliation across multiple sources, including data-quality measurement

- Web accessibility (WCAG) and building accessible enterprise UIs

- CI/CD, Docker, Kubernetes, and cloud or virtualization platforms

- Secure software practices: security design reviews, dependency and vulnerability management, compliance

- Experience leading a project or mentoring other engineers, and contributing to inner-source or open-source projects