Lead Software Engineer, Ad Platforms

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 stories, storytellers, and events they carry – matter to millions of people globally.

• Innovation:
We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.

Ad Platforms is responsible for Disney’s industry‑leading ad technology and products – driving advertising performance, innovation, and value in Disney’s sports, news, and entertainment content, across all media platforms.

The Forecasting team is under Ad Platforms, and its mission is to support Ads Inventory Forecasting business requirements. The Inventory Forecasting Platform provides unified inventory forecasting modelling and result accessing. This is a strong cross‑domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization.

The right person for this role should have extensive experience on big data as well as solid expertise on backend services or full stack. If you are someone who is proactive, hardworking, and enthusiastic in these domains, this is a phenomenal role for you!

WHAT YOU’LL DO

• Contribute to a team of big data and backend engineers to deliver high value projects

• Build components of large‑scale data platform for batch and real‑time processing, and own features of big data applications to fit evolving business needs

• Build next‑gen cloud based big data infrastructure for batch and streaming data applications, and continuously improve performance, scalability and availability

• Balance architectural and design considerations such as performance, scalability, reusability and flexibility issues

• Advocate the best engineering practices, including the use of design patterns, CI/CD, code review and automated test

• Collaborate with researchers to productize cutting edge innovations at scale

• Collaborate with program managers, product managers, SDET, and researchers in an open and innovative environment

Minimum Qualifications

• Bachelors degree in Computer Science, Electronics Engineering, or related field

• At least 7 years of professional programming and design experience in Scala, Java, Python etc.

• 3+ years of big data development experience with technical stacks like Spark, Hive, Single Store, Airflow, Kafka, Flink and AWS

• Strong communication skills and project leading experience

• Strong knowledge of system / application design and architecture

• Experience with processing large amount of data at petabyte level

• Demonstrated ability with cloud infrastructure technologies, including Terraform, K8S, Spinnaker, etc.

• Passionate about technologies, and openness to interdisciplinary work

Preferred Qualifications

• Demonstrated ability with cloud infrastructure technologies, including Terraform, K8S, Spinnaker, etc.

• Experience with Grafana, Datadog.

• Experience in widely used Web framework (React.js, Vue.js,…