Rust & Cloud: Distributed Systems Engineer

Apple Inc.

Seattle (WA)

On-site

USD 142,000 - 263,000

Full time

8 days ago

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Benefits offered by this job

Healthcare benefits
Retirement benefits
Employee stock purchase plan
Relocation assistance

Job summary

Apple Inc. in Seattle, Washington, seeks software engineers to join a small, high-impact team delivering distributed systems built with Rust and C++.

You will own core services with strong emphasis on performance, reliability, and code quality. Responsibilities include designing, deploying large-scale data fabrics on AWS/GCP, containerization with Docker/Kubernetes, and end-to-end feature ownership from design through production.

Qualifications

  • Experience designing, implementing, and supporting highly scalable applications and web services.
  • Experience with Rust (async/await, Sync/Send).
  • Experience with distributed system concepts (consensus, replication, failure detection).
  • Bachelor's or Master's degree in Computer Science or related field or equivalent experience.

Responsibilities

  • Design, develop, and deploy large-scale data fabrics on cloud infrastructure (AWS, GCP).
  • Build and maintain reliable, distributed systems using Rust and C++.
  • Collaborate with cross-functional teams to determine data storage needs for training and inference.
  • Implement and manage containerization/orchestration with Docker and Kubernetes.
  • Architect scalable applications with low latency, fault tolerance, and high availability.

Skills

Rust
C++
Distributed systems
Async/await
Concurrency

Education

Bachelor's or Master's in CS

Tools

Docker
Kubernetes
AWS
GCP
Linux
Blob storage

Job description

Apple Inc. in Seattle, Washington, seeks software engineers to join a small, high-impact team delivering distributed systems built with Rust and C++.

You will own core services with strong emphasis on performance, reliability, and code quality. Responsibilities include designing, deploying large-scale data fabrics on AWS/GCP, containerization with Docker/Kubernetes, and end-to-end feature ownership from design through production.

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