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: 55 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 $171k

This role $255k

$95k most similar roles pay here $349k

This role pays more than 95% of similar roles. Most pay $149,500–$192,750 — the shaded band above. At the midpoint, this role pays about $255k versus about $171k 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 1984 open roles on FindRole.

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

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At a glance

TL;DR · Senior Cloud Engineer - Special Projects

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As a Senior Cloud Engineer – Special Projects, you will join a team operating at the intersection of hardware, software, and intelligence to build infrastructure for distributed AI experiences. You will design and maintain scalable cloud infrastructure, develop data pipelines for multi-modal data, and implement inference platforms for model hosting and evaluation. Your daily work involves building metrics dashboards, ensuring data integrity, and prototyping performance analysis tools. The role requires proficiency in Python, Go, or Swift, along with experience in AWS, GCP, Kubernetes, and CI/CD automation. You will manage ETL/ELT pipelines involving device telemetry and logs while utilizing SQL/NoSQL systems. This position solves complex problems regarding the integration of on-device data with cloud intelligence, specifically focusing on model lifecycle management, robotics simulation pipelines, and large-scale distributed computation for advanced AI-driven products.

Skills

Python Go Swift AWS GCP Kubernetes CI/CD SQL NoSQL ETL ELT Data Pipelines Inference Serving Data Visualization

What you'll do

Design and maintain scalable cloud infrastructure to support AI-driven products and experiments.
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 evaluation.
Build metrics dashboards and evaluation frameworks to measure data quality and model performance.
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 new approaches for data-driven performance analysis from experimentation 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.
Proficiency in at least one modern programming language such as Python, Go, or Swift.
Experience deploying and optimizing scalable cloud infrastructure on AWS, GCP, or other modern platforms.
Experience architecting and orchestrating distributed applications using Kubernetes or similar container frameworks.
Experience designing and operating ETL/ELT pipelines for large-scale data including device telemetry and logs.
Familiarity with SQL/NoSQL systems, data warehousing, and scalable storage architectures.

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