Senior Software Engineer, Intelligent Automation & Developer Platforms

Apple Inc

Cupertino, CA

JOB DETAILS
SKILLS
Advertising, Android, Apache Hadoop, Apache Hive, Apache Kafka, Apache Spark, Apple, Application Programming Interface (API), Artificial Intelligence (AI), Automation, Automation System Development, Automation Systems, Building Systems, Communication Skills, Cross-Functional, Debugging Skills, Distributed Computing, Ecosystems, Engineering, HDFS (Hadoop Distributed File System), Home Automation, Integration Testing, Java, Large-Scale Systems, Leadership, MCP - Microsoft Certified Professional, Machine Tool, Mobile Applications, Programming Tools, Python Programming/Scripting Language, Quality Engineering, Quality Management, Risk, Scalable System Development, Software Engineering, Technical Leadership, User Interface/Experience (UI/UX), iOS
LOCATION
Cupertino, CA
POSTED
30+ days ago

At Apple, we work every day to create products that enrich people's lives. The Apple Ads team builds privacy-focused advertising platforms that operate at massive scale across Apple Services.

We are seeking a Senior Software Engineer to help build intelligent internal platforms, automation frameworks, and developer tools that improve quality, and engineering productivity across Apple Ads.

This is a hands-on engineering role focused on building AI/LLM-powered internal tooling and automation systems across mobile, backend, API, and data platform ecosystems. The ideal candidate combines strong software engineering fundamentals with experience building scalable automation, developer infrastructure, and full-stack engineering platforms.

You will join the Business Integration Testing team responsible for validating high-impact advertising experiences across Apple Services. This role focuses on building scalable internal platforms, automation frameworks, and intelligent developer tooling that improve quality, efficiency, and engineering productivity across Apple Ads.

You will help evolve a unified automation ecosystem that leverages AI/LLM technologies to detect risk patterns earlier, accelerate debugging and test execution. This work spans frontend, mobile, backend, API, device, and data platform environments and is focused on building intelligent internal tooling rather than developing or training AI/ML models.

We are looking for a hands-on engineer who enjoys building systems directly through coding, architecture, debugging, and framework development while collaborating across cross-functional engineering teams to drive scalable technical solutions.

In this role, you will:

  • Build scalable end-to-end automation frameworks across frontend, mobile, backend, API, and device ecosystems
  • Develop intelligent developer tooling and automation systems using AI/LLM technologies
  • Design agent-based and MCP-enabled workflows that improve automation efficiency and reduce manual effort
  • Partner with engineering teams across Apple Ads to improve automation coverage, debugging workflows, and developer productivity
  • Drive technical direction for scalable internal tooling and automation infrastructure
  • Contribute directly through architecture, coding, debugging, and framework development

8+ years of hands-on software engineering experience building scalable platforms, developer tools, or automation frameworks

Proficiency in Python or Java with the ability to design clean, maintainable, and extensible systems

Experience with modern automation technologies such as Playwright, Selenium, XCTest, or XCUITest

Hands-on experience building or validating applications within mobile ecosystems, including iOS or Android client-side environments

Familiarity with large-scale distributed systems or data platforms such as Kafka, Spark, Hadoop, Hive, or HDFS

Understanding of distributed systems, APIs, backend services, and data-driven workflows

Applied experience leveraging AI/LLM technologies to build internal tooling, automation, or developer workflows

Ability to debug complex system-level issues across interconnected services and platforms

Proven success collaborating across engineering organizations and communicating technical concepts clearly

Built AI-driven, agent-based, or MCP-enabled automation and developer workflow solutions

Familiarity with large-scale distributed systems or data platforms such as Kafka, Spark, Hadoop, Hive, or HDFS

Experience creating internal developer platforms, self-service tools, or scalable engineering infrastructure

Exposure to advertising technology or other high-scale platform ecosystems

Demonstrated ability to lead technical initiatives across cross-functional teams

About the Company

A

Apple Inc

We bring amazing people together to make amazing things happen.

We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.

About Apple

There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Computer/IT Services
FOUNDED
1976
WEBSITE
https://www.apple.com/jobs