Senior 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 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. Youll collaborate across teams, mentor engineers, and take end-to-end ownership of a mission-critical service.

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 wont just write code - youll define how we build, shape our architectural direction, and raise the engineering bar across every layer of the stack. Youll partner directly with peer architects to translate ambiguous, high-stakes problems into concrete, elegant solutions. Architect and deliver highly available, fault-tolerant distributed system that operate reliably at petabyte scale. Design and build core backend services in Go, with a deep focus on performance, correctness, and operational simplicity. Drive technical strategy and architecture decisions. Lead technical design reviews and establish engineering best practices across the team. Identify performance bottlenecks and drive systematic improvements across the stack. Mentor and grow engineers across experience levels through code reviews, design discussions, and 1:1 coaching.Bachelors 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.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.