Software Development Engineer

Apple Inc

Quick summary

Work type: On-site
Location: Mesa, AZ
Posted: 29 days ago

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Salary context

How this pay compares to similar roles

Similar $179k

$133k most similar roles pay here $229k

This listing doesn't post a salary. Most similar roles pay $142,437–$214,950.

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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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At a glance

TL;DR · Software Development Engineer

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As a Software Engineer focused on Data and Intelligence within Apple's Fleet Operations Engineering Organization, you will design and build data workflows and analytical systems to provide clear visibility into the health of Apple’s infrastructure fleet. Your day-to-day responsibilities include contributing to Python pipelines for ingesting and transforming data, supporting interactive notebooks in Jupyter/Snowflake, integrating APIs to enrich datasets, deploying applications on cloud infrastructure, and exploring AI capabilities such as LLMs and autonomous agents. You will work closely with Fleet Operations, Datacenter Operations, and Infrastructure Services teams to deliver solutions that enhance intelligence and efficiency. The role requires proficiency in Python, SQL, and experience with APIs, along with a strong curiosity for new technologies and a full-stack sensibility to make data accessible to all relevant teams.

Skills

Python SQL Jupyter Snowflake APIs Docker AWS GCP Azure MCP LLMs RAG CI/CD

What you'll do

Design and build Python workflows for ingesting, transforming, and displaying fleet infrastructure data.
Maintain interactive notebooks in Jupyter/Snowflake for exploration, prototyping, and team analysis.
Integrate APIs to enhance datasets, ensuring efficient data ingestion and synchronization across systems.
Deploy and manage applications on cloud infrastructure, focusing on reliability and observability.
Investigate AI capabilities like LLMs and autonomous agents to improve system intelligence.

What we're looking for

Software engineering experience focusing on data and full-stack development.
Proficiency in SQL and Python for data manipulation and workflow automation.
Experience with API integration to enhance dataset enrichment and synchronization.
Familiarity with cloud deployment tools like Docker and major cloud platforms.
Knowledge of Generative AI concepts, including LLMs and prompt engineering.
Ability to work collaboratively in a cross-functional team environment.

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