2 days ago
Responsibilities
- Build and operate Apple’s internal Kubernetes platform for automation and testing infrastructure.
- Improve Kubernetes scalability, debuggability, observability, end-to-end error tracking, and log aggregation.
- Design and build internal-tools APIs with versioning, multi-tenancy, authentication, and capacity planning.
- Collaborate on SDK and self-service onboarding experiences for platform adopters.
- Manage MongoDB query optimization, indexing strategy, sharding, and large-scale data ingestion.
- Own and improve ETL pipelines and build self-service query tools for client teams.
- Explore query builders, query templates, interactive query interfaces, and LLM-assisted query construction.
Requirements
- At least 1 year of professional software engineering experience, including internships or co-ops.
- Proficiency in Python and experience with at least one additional language such as Go, Java, or C++.
- Experience with relational or document databases and non-trivial queries.
- Experience building and shipping a backend service or API.
- Strong computer science fundamentals in operating systems, databases, and distributed systems.
- Willingness to learn Kubernetes and MongoDB in production.
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
- Preferred experience includes Kubernetes or cloud platforms such as AWS or GCP, MongoDB aggregation pipelines, self-service data products, LLM-assisted query construction, MCP-based tooling, and observability or monitoring systems.
Tech Stack
Categories
Data EngineeringDevOps
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.