
Senior Software Engineer (Observability Solutions) - Enterprise Technology Services
Required skills
- Go
- Golang
- distributed systems
- backend services
- infrastructure components
- large-scale data workloads
- petabyte-scale data workloads
- database internals
- storage engines
- query optimization
Nice to have
- observability platforms
- metrics pipelines
- Prometheus
- log aggregation
- Elasticsearch
- APM tools
Role summary
Apple IS&T is seeking a Senior Software Engineer with deep expertise in Go and distributed systems to join their Enterprise Technology Services team. This individual contributor role focuses on building the next generation of an observability platform that handles petabytes of data from billions of daily transactions. Responsibilities include designing and implementing core backend services, understanding system architecture, and owning components of mission-critical services. The role requires strong proficiency in Go, experience with distributed systems, large-scale data workloads, and database internals. Experience with observability tools like Prometheus and Elasticsearch is preferred.
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 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.
Minimum Qualifications
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.
Preferred Qualifications
Experience contributing to observability platforms — including metrics pipelines (Prometheus), log aggregation (Elasticsearch), and Application Performance Monitoring (APM) tools.
Sample Apple interview questions
- 1
Design a typeahead box for a search engine
system designmedium - 2
Design a rate limiter
system designmedium - 3
Architect a key-value store for distributed systems.
system designmedium - 4
Design a system to schedule jobs in a distributed environment
system designmedium - 5
What is an API and how does it work?
technicalmedium
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