Staff Senior Core Infrastructure Engineer, AI, Search & Knowledge Platforms

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
San Francisco, CA
Posted
9 days ago
Freshness
Confirmed live 2 days ago
Nearby
99+ roles within 25 mi

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How this pay compares to similar roles

Similar $188k
$100k most similar roles pay here $249k

This listing doesn't post a salary. Most similar roles pay $144,350–$231,037.

Based on 240 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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TL;DR · Staff Senior Core Infrastructure Engineer, AI, Search & Knowledge Platforms

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The Staff/Sr. Core Infrastructure Engineer, AI, Search & Knowledge Platforms joins the Core Infra team to develop infrastructure for information intelligence and search features. This role involves designing, developing, and operating large-scale backend infrastructure and optimizing massive-scale data pipelines to process trillions of links and petabytes of data. The engineer will collaborate with product, search, and machine learning teams to deliver robust solutions while monitoring performance and troubleshooting complex issues during on-call rotations. Required skills include expertise in distributed systems, cloud platforms like AWS or GCP, container orchestration via Kubernetes, and networking protocols such as TCP/IP, DNS, and HTTP. The work focuses on the technical challenges of information retrieval, ranking systems, and data extraction to improve link selection and freshness for search features within a complex, high-volume environment.

Skills

Distributed Systems Cloud Infrastructure AWS GCP Kubernetes Data Pipelines TCP/IP DNS HTTP System Design Algorithms Data Structures Information Retrieval Ranking Systems Machine Learning

What you'll do

  • Design and develop large-scale backend infrastructure for information intelligence and search features.
  • Optimize massive-scale data pipelines to process high volumes of data.
  • Build distributed systems and backend services using cloud platforms and container orchestration.
  • Apply statistical analysis to improve link selection, freshness, retrieval rates, and extraction quality.
  • Monitor key metrics and troubleshoot complex issues to ensure infrastructure health and performance.
  • Participate in an on-call rotation to maintain critical system availability.

What we're looking for

  • 10+ years of experience in software development for large-scale cloud infrastructure.
  • Experience designing, building, and operating distributed systems and backend services using platforms like AWS/GCP or Kubernetes.
  • Solid understanding of networking protocols such as TCP/IP, DNS, and HTTP.
  • Strong software engineering fundamentals in data structures, algorithms, and system design.
  • Excellent communication and collaboration skills for cross-functional team environments.
  • BS, MS, or Ph.D. in Computer Science or a related field, or equivalent experience.
  • Experience with large-scale data processing, information retrieval, web search, or ranking systems.

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