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Skills: Engineering Management, Distributed Systems, Data Infrastructure, Batch Processing, Scalability
Santa Clara, California, United States · Remote OK
$167k–$291k/yr
Senior+$4.1B raised
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Santa Clara, California, United States · Hybrid
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Full-time
bachelor degree
Posted 2d ago
~40 hrs/week
Responsibilities
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.
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 job 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
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own.
Apple is an equal opportunity employer that is committed to inclusion and diversity. Visit apple.com/careers to learn more.
Offices: 1 Apple Park Way, Cupertino, California 95014, US
How much do Data & Analytics jobs in Santa Clara, CA pay?
Based on 862 listings with disclosed salaries, most data & analytics jobs in Santa Clara, CA pay between $131k–$334k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in Santa Clara, CA right now?
There are currently 951 open data & analytics positions in Santa Clara, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Santa Clara, CA?
Companies currently hiring include NVIDIA, Applied Materials, ServiceNow, Pure Storage, Amazon, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Santa Clara, CA?
Yes — 265 of the 951 open data & analytics positions offer remote or hybrid work (55 remote, 210 hybrid).
How do I apply for Data & Analytics jobs in Santa Clara, CA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.