Sr Software Engineer - Data Platform

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 our 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 enhance 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 here:

• Building the future of Disney’s media: DE&E Technologists are designing and building the infrastructure that will power our 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 implement groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.
   

The Ads & Data Platform team is responsible for building and delivering the technology that supports Disney’s industry-leading, multi-billion dollar advertising business. Working across all of Disney’s streaming and linear channels, this team’s scope is multifaceted – they impact everything from core infrastructure development to the viewer-first ad formats subscribers see on their screens. Award-winning technologies, like the proprietary Disney Ad Server or DRAX, Disney’s programmatic advertising solution, are the backbone of Disney’s ad business and a key driver of Disney’s future success. What sets Disney’s advertising business apart, and what makes working here such a cool opportunity, is a combination of: world-class advertising technology built in-house, and the most beloved brands, franchises, and content!

Responsibilities:

• Build next-gen high-scalable and high-available microservice engines for advertising targeting, decisioning
• Build a next-gen experiment platform with cloud based big data solutions for fostering more innovations and speeding-up KPI improvement iterations to fit evolving business needs
• Design scalable distributed systems with established partition tolerance, consistency, and availability guarantees
• Collaborate with researchers to productize cutting edge innovations at scale
• Contribute to the best engineering practices, including the use of design patterns, CI/CD, code review and automated test
• Chip in ground-breaking innovation and apply the state-of-the-art technologies
• As a key member of the team, contribute to all aspects of the software lifecycle: design, experimentation, implementation and testing.
• Collaborate with program managers, product managers, SDET, and researchers in an open and innovative environment

Basic Qualifications:

• Bachelor or above in computer science or EE
• 4+ years of professional programming in Java, Scala, Python, and etc.
• 3+ years high-performance, high-scalable service development experience
• Demonstrated ability with cloud infrastructure technologies, at least two of Terraform, K8S, Spinnaker, IAM, ALB, and etc.
• Knowledge of system, application design and architecture
• Passion about technologies, and openness to interdisciplinary work

Preferred Qualifications:

• Domain knowledge about advertising
• Experience with a widely used Web framework (React.js, Vue.js, Angular, etc.) and good knowledge of Web stack HTML, CSS, Webpack.
• Experience with processing large amount of data at petabyte level
• Experience with Click House, Impala, Presto, Redshift etc.

The hiring range for this position in Santa Monica, California is $136,038 to $182,490 per year, in San Francisco, California is $149,000 to $199,000 per year, and in Seattle, Washington is $142,516 to $191,180 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.