Software Development Engineer - PMO - Apple Ads

At Apple, we work every day to create products that enrich people's lives. Our Apple Ads group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy.

The Apple Ads PMO team is looking for a software engineer who will design and develop scalable systems for the ads engineering organization. We are looking for a results-oriented and versatile engineer who can excel in an Agile environment.

Description

You will support the team responsible for driving fiscal planning, headcount strategy, and vendor management while building the frameworks and dashboards that inform VP-level decisions. In this role, you will:

-Design and develop scalable systems for program and portfolio management

-Partner with EPMs (Engineering Program Managers), finance analysts, product, and engineers to design, develop, and implement solutions, tools, frameworks and components that will enable us to improve operational efficiency.

-Build dashboards and tools that provide real-time insight into spend, staffing, and operational health

-Continuously improve processes to increase predictability and efficiency in how we plan and track work

Success in this role means delivering and maintaining a scalable Program Portfolio Management system, enabling data-driven VP-level decisions, and becoming a trusted technical partner to the PMO team.

Minimum Qualifications

5+ years experience in designing and maintaining full-stack web applications using TypeScript, JavaScript, and SQL

BS in Computer Science or equivalent degree/experience

Strong coding skills in Java, Node.js, and React, with backend data store experience in PostgreSQL and Redis

Experience building and maintaining dashboards and backend data processing pipelines

Ability to stay updated on emerging technologies like AI/ML, Model Context Protocol (MCP), and Agentic AI, and apply them to build innovative internal tools

Excellent communication skills and ability to work cross functionally

Preferred Qualifications

Strong Infrastructure and DevOps containerization experience with Docker

Experience building integrations with large language model (LLM) APIs - AI assistant functionality

Proven experience developing internal tools, automation scripts, and workflow integrations