This role pays more than
84%
of similar roles. Most pay
$157,500–$235,750
— the shaded band above.
At the midpoint, this role pays about
$255k
versus about
$197k
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
3513 open roles
on FindRole.
Listed pay typically runs
$165,800–$277,600
across 2730 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 for business integrity workflows, and develop tools for debugging and test data setup. The work focuses on creating a unified intelligence layer to replace bespoke tooling with scalable systems accessible via prompts, APIs, and MCP servers. Required skills include Python or Java expertise, experience with Playwright, Selenium, XCTest, and XCUITest, along with knowledge of Hadoop, Hive, HDFS, Kafka, and Spark. You will solve complex problems in the advertising technology domain to enhance developer confidence and reliability.
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 and developer productivity.
Develop intelligent tooling for debugging, test data setup, and actionable failure analysis.
Integrate fragmented systems into a single intelligence layer accessible via prompts, APIs, and MCP servers.
Drive the testing strategy for user-critical flows across web, mobile, and TV platforms.
Build scalable validation strategies for data platforms including streaming systems like Kafka and Spark.
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 designing AI-driven automation, building data platform validation strategies (Kafka, Spark), or working in advertising technology (preferred).
Distributed Systems
Microsoft Azure
AWS
Python
C#
Java
C++
JavaScript
Cloud Computing
Service-Oriented Architecture
Observability
Reliability Engineering
AI
Web Technologies