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Apple

Engineering Manager, Web Indexing

Apple Santa Clara, California, United States

Computers and Electronics Manufacturing · 10,001+ employees

7 h ago
engineering-manager Principal (10+ yrs) Full-time United States
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About the role

You will lead the engineering team responsible for building and scaling web and image indexing infrastructure, including both batch and near-real-time systems. You will also define technical strategy, manage cross-functional dependencies, and act as a liaison to senior leadership regarding system architecture and resource planning.

What they look for

Engineering Management Distributed Systems Data Infrastructure Batch Processing Scalability System Architecture Reliability Engineering Information Retrieval Search Infrastructure Technical Leadership Cross-functional Collaboration Strategic Planning Distributed Storage Performance Optimization Mentorship

Requirements

The role requires significant experience in building large-scale distributed systems and data infrastructure, along with a proven track record in engineering management. Candidates must possess strong technical depth in distributed computing and the ability to influence multi-team initiatives without direct authority.

Full description

We’re looking for an Engineering Manager to lead the team that builds and scales the indexing infrastructure powering web and image search. The team runs both petabyte-scale offline batch pipelines and near-real-time indexing systems that turn web documents, images, and metadata into production-ready indexes. You’ll lead engineers across distributed computing, data processing, and storage, while partnering with crawling, ranking, ML, retrieval, and infrastructure teams to shape the long-term indexing strategy. This is a cross-functional leadership role requiring strong technical depth, organizational influence, and the ability to drive complex, multi-team initiatives.

Description

You’ll own both technical direction and execution for two core systems: large-scale offline indexing (distributed pipelines processing petabytes of content into production indexes) and fresh/near-real-time indexing (low-latency propagation of new or updated content). Responsibilities span architecture, scalability, reliability, and efficiency across billions of documents and images. Success requires close collaboration across teams to resolve dependencies, make architecture tradeoffs, and drive large programs to completion, while acting as a key liaison to senior leadership on strategy, risks, and resourcing.

Minimum Qualifications

Significant experience building large-scale distributed systems or data infrastructure Engineering management experience leading software teams Strong grasp of distributed systems, large-scale data processing, and storage Experience with distributed batch processing (e.g., MapReduce-style models) Track record leading multi-team technical initiatives and influencing without direct authority Strong communication skills for technical topics with senior leadership BS in CS or related field, or equivalent experience

Preferred Qualifications

Experience with batch/streaming frameworks (Spark, Beam, Flink, Kafka, etc.) Experience with distributed storage systems (Bigtable, HBase, Cassandra) Background in search, information retrieval, or large-scale content processing Experience with image processing, computer vision, or multimodal systems Experience optimizing distributed systems for cost, latency, and throughput Experience driving cross-org programs and presenting strategy to executive leadership Track record developing senior engineers into technical leadership roles

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