Disney Entertainment and ESPN Product & Technology is seeking a Lead Software Engineer to join their Audience Targeting team within Ad Platforms. This role sits at the intersection of big data, machine learning, and advertising technology, working on systems that help deliver personalized, optimized experiences to millions of users worldwide.
The position offers an opportunity to work with cutting-edge technology at massive scale, building and maintaining the technological backbone for Disney's global media business. The Audience Targeting Platform provides unified solutions for audience data exchange and enrichment, featuring high-concurrency, low-latency services powered by advanced data technologies.
As a Lead Software Engineer, you'll be responsible for architecting and building large-scale data platforms handling both real-time and batch processing workflows. The role involves working with modern big data technologies including Spark, Flink, Kafka, and various AWS services. You'll be part of a dynamic, cross-domain team delivering end-to-end solutions across diverse technical areas.
The position offers competitive compensation ranging from $152,200 to $223,600 depending on location, with additional benefits and bonus potential. This is an excellent opportunity for an experienced engineer passionate about big data and distributed systems to make a significant impact at one of the world's leading entertainment companies.
Working at Disney means being part of a team that's building the future of media technology, with unprecedented reach and scale. You'll be contributing to products that serve millions of users through brands like Disney+, Hulu, ESPN, ABC, and ABC News. The role combines technical challenges with the opportunity to shape industry norms and solve complex problems in innovative ways.
The ideal candidate will bring strong expertise in big data technologies, backend services, and distributed systems, along with excellent communication skills and the ability to collaborate across teams. This role offers the perfect blend of technical challenge, scale, and impact for a senior engineer looking to advance their career in big data and advertising technology.