Software Engineer - Distributed Systems, Insights & Release Technologies

Do you want to help define the future of delivering Apple software to customers? Join the Insights & Release Technologies team to develop productivity products and release technologies focused on optimizing engineering workflows, so that we can deliver amazing software and experiences to millions of Apple users faster.

Our team has a passion for innovation and is looking for individuals with a genuine excitement to collaborate with others to solve complex problems with a focus on the user experience.

Description

We are looking for a passionate and experienced Backend / DevOps Engineer who cares deeply about architectural excellence and writing scalable, reliable code that is as beautiful as the products it powers.

As a member of the team, you will lead technical discussions, mentor other engineers, and drive features from concept to launch.

Minimum Qualifications

2+ years of experience working in a distributed system with focus on designing, deploying and observability of system

Technologies: Experience with Swift on Server, Go or equivalent.

Infrastructure: Knowledge of containerization, orchestration technologies, networking, observability tools, and security.

System Reliability: Expertise in scaling systems, performance analysis, and capacity planning for global, distributed systems.

Collaboration: Excellent communication skills and a genuine interest in mentoring others and collaborating with teams across a wide range of technologies and disciplines.

Preferred Qualifications

Experience with databases (relational and NoSQL, such as Cassandra), scalability and performance improvements to read centric databases.

Experience with server-side development and systems programming.

Demonstrated ability to lead incident response for high-impact outages.

Familiarity with using Generative AI (GenAI) or Large Language Models (LLMs) to accelerate operational tasks, such as automating runbooks, generating scripts, or analyzing incident data.