Engineering Manager, Web & Image Indexing – Large‑Scale Infra

Apple Inc.; Santa Clara (CA); On-site; USD 206,000 - 356,000; Full time

Benefits offered by this job

Comprehensive medical and dental

retirement benefits

discounted products and free services

educational expense reimbursement

Job summary

Apple is seeking an Engineering Manager to lead the indexing infrastructure team powering web and image search. You will oversee offline batch pipelines and near-real-time indexing, coordinating across distributed computing, data processing, and storage to turn content into production-ready indexes.

You will partner with crawling, ranking, ML, and infrastructure teams, shape architecture tradeoffs, and guide multi-team initiatives while reporting to senior leadership on strategy and risks.

Qualifications

• BS in CS or related field, or equivalent experience.
• Experience leading software teams and engineering management.
• Strong grasp of distributed systems, large-scale data processing, and storage.
• Experience with multi-team initiatives and influencing without direct authority.
• Strong communication skills for technical topics with senior leadership.

Responsibilities

• Lead and grow a team building large-scale web and image indexing infrastructure.
• Own architecture and execution for both offline batch pipelines and near-real-time indexing systems.
• Drive improvements in freshness, throughput, scalability, reliability, and efficiency.
• Enable rapid experimentation for search quality and ML teams introducing new signals.
• Build strong cross-team partnerships and align on architecture and milestones.

Skills

Distributed systems

Large-scale data processing

Leadership

Cross-functional collaboration

Communication with senior leadership

Education

BS in CS or related field

Tools

MapReduce-style models

Spark

Beam

Flink

Kafka

Bigtable

HBase

Cassandra

Job description

Apple is seeking an Engineering Manager to lead the indexing infrastructure team powering web and image search. You will oversee offline batch pipelines and near-real-time indexing, coordinating across distributed computing, data processing, and storage to turn content into production-ready indexes.

You will partner with crawling, ranking, ML, and infrastructure teams, shape architecture tradeoffs, and guide multi-team initiatives while reporting to senior leadership on strategy and risks.