Software Engineer (Observability Solutions) - Enterprise Technology Services

Apple IS&T’s infrastructure powers billions of transactions every day. At this scale, the systems we build must be resilient, observable, and extraordinarily efficient. We are looking for a Software Engineer with deep expertise in Go and distributed systems to join our team and help build the next generation of Observability Platform.

Enterprise Technology Services (ETS) is part of IS&T and delivers global-scale platforms and services that keep Apple's operations secure and running. The team manages identity, device security, and anti-abuse platforms — covering everything from manufacturing and repairs to software updates and activations.

ETS also oversees supply chain, manufacturing, and partner integration platforms, protecting data on more than 2.5 billion devices worldwide. And when Apple prepares for a global product launch, ETS owns the systems that ramp factory production — managing serial numbers, network credentials, and verified software.

This is an individual contributor role where you'll take ownership of significant components of a mission-critical service, working with growing independence alongside senior engineers and architects to solve increasingly complex and ambiguous problems.

Our team is building an observability platform that supports some of Apple IS&T’s most critical and high-traffic services. We are designing a platform that must remain consistent and performant even as it grows to handle petabytes of data resulting from billions of daily transactions.

As a Software Engineer, you will contribute directly to the design and implementation of core backend services. You'll work alongside senior engineers to understand system architecture, take ownership of well-scoped components, and build the skills to tackle increasingly complex problems across the stack.

Bachelor's degree in Computer Science, Computer Engineering, or a related engineering discipline. Strong proficiency in Go (Golang) with production experience building backend services or infrastructure components. Solid experience designing and operating components of distributed systems — including replication, fault tolerance, and distributed coordination.

Hands-on experience contributing to systems that handle large-scale or petabyte-scale data workloads. Good understanding of database internals — including storage engines, query optimization, and indexing strategies. 4 -12 years of overall experience.

Experience contributing to observability platforms — including metrics pipelines (Prometheus), log aggregation (Elasticsearch), and Application Performance Monitoring (APM) tools.