Senior Software Engineer - Audience Targeting

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.

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.)

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