This role pays more than
67%
of similar roles. Most pay
$162,000–$228,950
— the shaded band above.
At the midpoint, this role pays about
$214k
versus about
$195k
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
3562 open roles
on FindRole.
Listed pay typically runs
$166,200–$277,600
across 2758 roles with salary data.
Senior Tools Engineer - Intelligent Productivity and Automation - Ads Platform joins the team to build intelligent internal platforms, automation frameworks, and developer tools that improve quality and engineering productivity across Apple Ads. This hands-on role involves building AI/LLM-powered internal tooling and automation systems for mobile, backend, API, and data platform ecosystems. You will design multi-agent testing frameworks, architect end-to-end automation solutions to streamline business integrity workflows, and develop tools for debugging and test data setup. The work focuses on creating a unified intelligence layer and scalable validation platforms using existing AI models rather than training new ones. Required skills include Python or Java expertise, experience with Playwright, Selenium, XCTest, and XCUITest, as well as distributed systems like Hadoop, Hive, and HDFS. You will also leverage emerging technologies such as MCP and agentic systems to enhance developer confidence across advertising ecosystems.
Design and implement multi-agent testing frameworks for UI, API, mobile, and data pipeline validations.
Build AI/LLM-powered internal tools to detect risk patterns and enable autonomous validation workflows.
Architect end-to-end automation solutions to streamline business integrity workflows and improve engineering productivity.
Develop a unified intelligence layer and scalable ecosystem accessible through prompts, APIs, and MCP servers.
Create tools for debugging, test data setup, and actionable failure analysis across multiple product lines.
Drive the testing strategy for user-critical flows across web, mobile, and TV platforms.
Build self-service developer tools to enhance confidence, speed, and reliability across various domains.
What we're looking for
BS in Computer Science or related field.
10+ years of experience building scalable test automation frameworks and leading QE strategy across complex distributed systems.
Strong programming expertise in Python or Java with experience in Playwright, Selenium, XCTest/XCUITest, and distributed systems like Hadoop, Hive, and HDFS.
Proven ability to drive adoption of emerging technologies such as AI/LLMs, MCP, and agentic systems for intelligent automation.
Expertise in debugging complex system-level issues, validating APIs, and performing root cause analysis across integrated platforms.
Demonstrated ability to influence engineering standards and collaborate with senior leadership in ambiguous environments.
Experience with data platform validation (Kafka, Spark), advertising technology, or leading cross-org initiatives (preferred).
Distributed Systems
Microsoft Azure
AWS
Python
C#
Java
C++
JavaScript
Cloud Computing
Service-Oriented Architecture
Observability
Reliability Engineering
AI
Web Technologies