Senior Software Engineer - Audience Targeting

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.

Ad Platforms organization within Disney Entertainment and ESPN Technology is fully responsible for building, enhancing and maintaining the high-performance, distributed, microservice-based Advertising Platform across all of Disney online properties, including Hulu and ESPN+. We build and maintain proprietary technology, ranging from ad serving and ad delivery, campaign management, reporting as well as all the integrations internal and external that come with evolving and maintaining a best-in-class video advertising business.

The Audience Targeting team is part of Ad Platforms, with a mission to help advertisers reach the right audience and deliver personalized, optimized experiences tailored to customer needs and interests. Our Audience Targeting Platform offers a unified solution for audience data exchange and enrichment, as well as high-concurrency, low-latency audience targeting services powered by advanced data technologies.

This is a dynamic, cross-domain team delivering end-to-end solutions across diverse technical areas, including machine learning, big data, microservices, and data visualization.

We are currently seeking a Senior Software Engineer to join our team. The ideal candidate will have extensive experience in big data, along with strong expertise in backend services or full-stack development. If you are proactive, dedicated, and passionate about these fields, this role offers an incredible opportunity to make an impact!

Responsibilities

• Build components of large-scale data platform for real-time and batch 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

• 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

• 5+ years of professional programming in Java, Scala, Python, and etc.

• 3+ years of big data development experience with technical stacks like Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies

• Knowledge of system, application design and architecture

• Experience of building industry level high available and scalable service

• Passion about technologies, and openness to interdisciplinary work

Preferred Qualifications

• Experience with processing large amount of data at petabyte level

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

• Experience with ClickHouse, Druid, Snowflake, Impala, Presto, Kinesis, etc.

• Experience in widely used Web frameworks (SpringBoot, React.js, Vue.js, Angular, etc.)