About The Position
The Senior Tools Engineer will build intelligent internal platforms, automation frameworks, and developer tools to improve quality and engineering productivity across Apple Ads. This is a hands-on engineering role focused on AI/LLM-powered internal tooling and automation across mobile, backend, API, and data-platform ecosystems. The role combines software engineering with scalable automation, developer infrastructure, and full-stack engineering platforms. The engineer will help develop tools that continuously interpret product signals, detect risk patterns early, and enable autonomous validation and recovery workflows. The work includes unifying fragmented solutions across Apple Ads business lines into an intelligence layer integrated with a unified validation platform, replacing bespoke tools with a scalable, adaptive ecosystem accessible through prompts, APIs, and MCP servers. The role uses existing AI models and platforms to build internal developer tools; it does not involve developing or training AI/ML models. The successful candidate will work effectively in ambiguous environments, bring clarity to complex problem spaces, and influence cross-functional teams through technical leadership and communication, including partnership with senior engineers and engineering leadership.
Requirements
- Bachelor of Science in Computer Science or a related field.
- 10+ years of experience building scalable test automation frameworks and leading quality engineering strategy across complex distributed systems spanning web, mobile, APIs, and data platforms.
- Strong programming expertise in Python or Java.
- Deep experience with modern automation frameworks such as Playwright or Selenium.
- Experience with mobile testing ecosystems, including iOS/XCTest/XCUITest.
- Experience with distributed systems such as Hadoop, Hive, and HDFS.
- Ability to drive adoption of emerging technologies such as AI/LLMs, MCP, and agentic systems for intelligent automation and self-serve developer workflows.
- Expertise in debugging complex system-level issues, validating APIs and data pipelines, and driving root-cause analysis across integrated services and platforms.
- Demonstrated ability to influence engineering standards, operate effectively in ambiguous environments, and collaborate with senior engineers and engineering leadership across cross-functional teams.
- Strong technical leadership and communication skills.
Nice To Haves
- Master’s degree.
- Experience designing AI-driven or agent-based automation systems, including MCP-aligned architectures.
- Experience building scalable validation strategies for data platforms, including streaming systems such as Kafka and Spark.
- Strong background in API testing, data validation, and building self-service quality engineering platforms.
- Experience in advertising technology or similar large-scale, high-complexity ecosystems.
- Track record of leading cross-organizational initiatives and driving alignment across multiple teams.
Responsibilities
- Build AI/LLM-powered internal tools and automation systems across mobile, backend, API, and data-platform ecosystems.
- Develop internal platforms, automation frameworks, and developer tools that improve quality and engineering productivity across Apple Ads.
- Create tools that interpret signals across products, identify risk patterns early, and enable autonomous validation and recovery workflows.
- Unify fragmented solutions across Apple Ads business lines into an intelligence layer integrated with a unified validation platform.
- Replace bespoke tooling with a scalable, adaptive ecosystem accessible through prompts, APIs, and MCP servers.
- Use existing AI models and platforms to build intelligent internal developer tools rather than developing or training AI/ML models.
- Debug complex system-level issues, validate APIs and data pipelines, and drive root-cause analysis across integrated services and platforms.
- Influence engineering standards and collaborate with senior engineers, engineering leadership, and cross-functional teams.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
