Software Engineer II - Scala
Listed on 2026-03-04
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Software Development
Cloud Engineer - Software, Software Engineer
Software Engineer II - Scala
Job
Location New York, New York, United States / Santa Monica, California, United States / San Francisco, California, United States
Business Disney Entertainment and ESPN Product & Technology
Date posted Mar. 02, 2026
Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.
The team marries technology with creativity to build world‑class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.
Here are a few reasons why we think you’d love working here:
Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally.
Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity.
- You work diligently with team members and project management to understand requirements and provide technical solutions and direction.
- You are comfortable with ambiguity and being part of conversations where discordant views are present.
- You have an intermediate understanding of software development fundamentals and architecture, and you aren't dogmatic about technology choices.
- You preferably are interested in learning about/have experience with web technologies and web system architecture.
- You have experience with Java, Scala, and associated technologies.
- You have experience building and maintaining highly automated systems that leverage tools such as Jenkins, Cloud Formation, Terraform, Kubernetes, and Spinnaker.
- You preferably have knowledge/experience with AWS products and services (EC2, S3, Lambda, Dynamo
DB, Elasti Cache, Cloud Front, etc.) or other cloud providers.
- Be a part of a team of big data and backend engineers to deliver high value projects.
- 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.
- Participate in building next generation service platform on cloud‑based big data infrastructure for batch and streaming data applications, and continuously improve performance, scalability and availability.
- Participate in sprint planning, backlog refinement, and retrospectives as a team.
- Build automated tests to ensure application reliability.
- Participate in code reviews.
Education Required:
Bachelor’s degree in Computer Science or related field, or equivalent training or work experience.
Required Years ofWork Experience:
3 years of experience in a technical field.
#Disney TECH
The hiring range for this position in New York, NY is $ - $ per year, in San Francisco CA is $ - $ per year and in Santa Monica, CA is $ - $. 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.
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