Senior Cloud Engineer, Special Projects

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $184,700–$324,800 / yr
Posted: 108 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $174k

This role $255k

$95k $349k

below market most similar roles pay here above market

This role pays more than 95% of similar roles. Most pay $145,000–$202,120 — the blue band above. At the midpoint, this role pays about $255k versus about $174k for comparable roles.

Based on 240 similar postings.

Employer

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 3552 open roles on FindRole.

Listed pay typically runs $166,600–$277,600 across 2753 roles with salary data.

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At a glance

TL;DR · Senior Cloud Engineer, Special Projects

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The Senior Cloud Engineer – Special Projects joins a team operating at the intersection of hardware, software, and intelligence. This role involves designing and maintaining scalable cloud infrastructure, building intelligent data pipelines for multi-modal data, and implementing inference platforms for live and offline model evaluation. You will develop metrics dashboards, KPIs, and evaluation frameworks to measure data quality and system health while collaborating with robotics, ML, and design teams. Required skills include proficiency in Python, Go, or Swift, along with experience in AWS, GCP, Kubernetes, and CI/CD automation. You will also manage ETL/ELT pipelines, SQL/NoSQL systems, and scalable storage architectures. The work focuses on bridging the gap between on-device data and cloud intelligence to power distributed AI experiences and advanced developer tooling.

What does a Cloud Engineer earn?

Median $142450 from 47 postings across 13 companies.

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Skills

Python Go Swift AWS GCP Kubernetes CI/CD ETL ELT SQL NoSQL Data Pipelines Containerization Data Warehousing Observability Inference Serving Model Lifecycle Management

What you'll do

Design, build, and maintain scalable cloud infrastructure and services for AI-driven products.
Develop data pipelines to process and transform large volumes of multi-modal data.
Implement inference platforms to host models for live inference, batch annotation, and large-scale evaluation.
Build metrics dashboards, KPIs, and evaluation frameworks to measure data quality and system health.
Establish best practices for data integrity, privacy, and secure compute during architecture reviews.
Bridge the gap between on-device data and cloud intelligence using evolving hardware.
Prototype novel approaches to data-driven performance analysis from experiment to production.

What we're looking for

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
5+ years of industry experience.
Proven experience building distributed backend systems, web services, and data pipelines.
Strong proficiency in one or more modern languages such as Python, Go, or Swift.
Experience deploying, managing, and optimizing scalable cloud infrastructure on AWS, GCP, or other modern cloud platforms.
Experience architecting and orchestrating resilient, distributed applications using Kubernetes or similar container orchestration frameworks.
Experience designing and operating ETL/ELT pipelines for large-scale data, including device telemetry, logs, or model outputs.
Experience with multi-modal data systems, robotics, or simulation pipelines (preferred).

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