About The Position
Apple Ads is seeking a Senior Software Engineer for its Business Integration Testing (BIT) team to build intelligent developer tools, internal engineering platforms, and AI-enabled automation systems. The role focuses on improving how engineers develop, validate, debug, and deliver software across Apple Ads. The engineer will create scalable tools and automation that integrate AI into existing workflows, reduce manual effort, and help teams find and resolve issues earlier in the development lifecycle. This hands-on position combines computer science fundamentals, scalable software development, and practical AI/LLM implementation. The engineer will own technical architecture and implementation, create reusable integrations and self-service capabilities, and work with engineering teams to improve productivity, reliability, and software quality.
Requirements
- At least 8 years of hands-on software engineering experience building production systems, developer tools, or engineering platforms.
- Strong computer science fundamentals, including data structures, algorithms, software design, and problem-solving.
- Proficiency in Python or Java and the ability to write clean, maintainable, and extensible code.
- Solid understanding of backend services, APIs, distributed systems, and scalable software architecture.
- Hands-on experience designing and implementing AI/LLM-enabled software solutions, with the ability to explain technical approaches, implementation decisions, and limitations.
- Ability to independently own complex technical projects, articulate architectural tradeoffs, and deliver reliable solutions.
- Effective communication and collaboration skills across engineering teams.
Nice To Haves
- Familiarity with agent-based architectures, Model Context Protocol (MCP), or other AI-enabled automation approaches.
- Background building internal developer platforms, self-service tools, CI/CD infrastructure, or automation frameworks.
- Knowledge of software validation, debugging workflows, or shift-left quality engineering practices.
- Exposure to advertising technology or other large-scale, distributed platform environments.
- Track record of delivering engineering tools adopted across teams, with measurable improvements in efficiency, reliability, or software quality.
Responsibilities
- Build and maintain scalable internal developer tools, engineering platforms, and automation systems.
- Develop AI/LLM-enabled tools and agent-based workflows to accelerate debugging, streamline validation, and automate complex engineering processes.
- Create reusable integrations and self-service capabilities across backend services, APIs, and distributed systems.
- Own technical architecture and implementation, balancing scalability, reliability, performance, and maintainability.
- Partner with engineering teams to identify automation opportunities and deliver solutions that improve engineering efficiency and software quality.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
