Senior Software Engineer, Ad Platforms - The Walt Disney Company

Disney Entertainment & ESPN Technology

On any given day at Disney Entertainment & ESPN Technology, we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming Disney’s media business for the future. Whether that’s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.

A few reasons why we think you’d love working for Disney Entertainment & ESPN Technology

• Building the future of Disney’s media business: DE&E Technologists are designing and building the infrastructure that will power Disney’s media, advertising, and distribution businesses for years to come.
• Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
• Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.

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.

Our team is seeking a Senior Software Engineer. 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

• Bachelor's degree in Computer Science, Electronics Engineering, or related field
• 5+ years of professional programming in Java, Scala, Python, etc.
• 3+ years of big data development experience with technical stacks such as Spark, Hive, SingleStore, Airflow, and AWS
• Strong knowledge of system/application design and architecture
• Experience building industry level high available and scalable service
• Experience with processing large amounts of data at petabyte level
• 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, Angular, etc.) and good knowledge of Web stack HTML, CSS, Webpack
• Ads domain knowledge

The hiring range for this position in Santa Monica/LA, CA is $138,900.00 to $186,200.00 per year, in San Francisco, CA is $152,100.00 to $203,900.00 per year, and in Seattle, WA is $145,400.00 to $195,000.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.