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.
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, or a related engineering discipline.
- Proficiency in Go (Golang) with production experience building backend services or infrastructure components.
- Proven experience designing and operating distributed systems — including consensus, replication, fault tolerance, and distributed coordination.
- Hands-on experience building or scaling systems that handle petabyte-scale data workloads Strong understanding of database internals — including storage engines, query optimization, transaction management, indexing strategies, and consistency models.
- 8 years of overall experience.
Preferred Qualifications
- Experience building or operating observability platforms — including metrics pipelines (Prometheus), log aggregation (Elasticsearch), and Application Performance Monitoring (APM) tools.
