Platform & Data Engineer
Core
Build and operate the compute platform and data layer for Apple's internal automation and testing infrastructure, enabling thousands of engineers to move faster.
Role type
Senior Platform & Data Engineer (Kubernetes & Data Systems)
Builds
Internal tools APIs, observability stack, self-service query layer, and ETL pipelines for internal automation.
Domain
Internal Infrastructure / Data Engineering
Required skills
Kubernetes cluster operations at scale, MongoDB (document databases), Python, ETL pipeline design, API design (versioning/multi-tenancy), observability stack management, query optimization, sharding strategies.
Preferred skills
LLM-assisted query construction, Model Context Protocol (MCP), self-service data product design, sustainable operations practices.
Technologies
Kubernetes, MongoDB, Python, MCP wrappers.
Responsibilities
Lead scalability and debuggability of the Kubernetes footprint; design and build internal-tools APIs under real load; own and improve ETL pipelines feeding the MongoDB estate; design and ship a self-service query layer for client teams; shape the adopter-facing surface of the platform including SDKs.
Seniority
Senior, hands-on IC
