Senior Full Stack Engineer - Ad Decisioning

Job Posting Title: Sr Product Software Engineer - Ad Decisioning Engineering Req ID: 10152769 Job Description: Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you’d love working here: Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched [... source excerpt omitted ...] k on integrations with critical services responsible for the entitlements, correct pacing, targeting, selection of ads, and third-party systems. As part of the Decisioning Fleet, you will directly contribute to optimizing ad qualification and selection to make sure viewers always see the right ad at the right time. You will also help build tools that analyze what ads are competing for slots for ad breaks across Hulu, Disney+, ESPN, and others. As a Senior Software Engineer of our team, you will apply your knowledge and skills to help us deliver scalable, performant, maintainable, and testable software. Daily, you should bring: A willingness and desire to effectively communica [... source excerpt omitted ...] g, and why they are important. An understanding of how to define technical and operational metrics to measure system health and to manage risk. Kindness and pragmatic optimism. Responsibilities: Designing, implementing, and testing solutions to various engineering problems in a high-throughput, low-latency microservices environment. Enhancing systems’ observability with proper metrics, monitors, and alerts. Reading and understanding product user stories, and then translating them into actionable tasks, including identifying where AI/ML-driven solutions may be applicable. Taking ownership of one or more of the team's domain areas. Understanding and using automated tools (AI) wh