Senior Software Engineer (Observability Solutions) - Enterprise Technology Services

Summary

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 Senior Software Engineer with deep expertise in Go and distributed systems to join our team and help architect the next generation of Observability Platform.
This is a senior individual contributor role where your technical judgment will directly shape system architecture, team direction, and engineering culture. You'll collaborate across teams, mentor engineers, and take end-to-end ownership of a mission-critical service.

Description

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 Senior Software Engineer, you will be a technical anchor for the team. You won't just write code — you'll define how we build, shape our architectural direction, and raise the engineering bar across every layer of the stack. You'll partner directly with peer architects to translate ambiguous, high-stakes problems into concrete, elegant solutions.

Preferred Qualifications

Experience building or operating observability platforms — including metrics pipelines (Prometheus), log aggregation (Elasticsearch), and Application Performance Monitoring (APM) tools.
Experience designing and operating distributed systems
Strong understanding of database internals — including storage engines, query optimization, transaction management, indexing strategies, and consistency models.
Proficiency in Go (Golang) with production experience building backend services or infrastructure components.

Minimum Qualifications

Bachelor's degree in Computer Science, Computer Engineering, or equivalent.
3 or more years of experience in Go.
Hands-on experience building or scaling systems that handle large data workloads
Hands-on experience on RDBMS or NoSQL.
10 years or more of overall experience.