Java Programming Online Jobs in Princeton Junction, NJ

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Disney Entertainment & ESPN Technology

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.

The Product & Data Engineering team is responsible for end to end development for Disney's world-class consumer-facing products, including streaming platforms Disney+, Hulu, and ESPN+, and digital products & experiences across ESPN, Marvel, Disney Studios, NatGeo, and ABC News. The team drives innovation at scale for millions of consumers around the world across Apple, Android, Smart TVs, game consoles, and the web, with our platforms powering core experiences like personalization, search, messaging and data.

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.

The Data Transformation team builds systems that provide data to teams across Disney Streaming. We implement reliable services that deliver data that helps power user experiences for Disney Streaming clients including Hulu, Disney+ and ESPN+, across web, mobile, and living room devices.

Job Summary for the DataIngestion&DataStore(DIDS) Team:

The DIDS Team is part of the derivative authority distribution platform (ADDP), which derives new types based on business rules and consumer needs. The DIDS team is responsible for ingesting data from root authorities and making it available for both offline and online transformation.

As a Software Engineer on the team, they would collaborate closely with engineers, project managers, and product managers to find the best solution for our viewers. They would be responsible for building high-performance, stable, and scalable systems in which the code is easy to read, well tested, and adheres to best practices.

Responsibilities and Duties of the Role:

• Write code to implement new features or optimize existing services.

• Test code through various means: unit tests, integration tests, performance tests, etc.

• Participate in the code review process by providing feedback on pull requests

• Participate in on-call rotation, supporting systems and services during production incidents.

• Actively participate in team ceromancies and activities like stand-ups, scrum-ceremonies, high-level architecture discussions and breakdown and estimation of tasks.

Required Education, Experience/Skills/Training:

Basic Qualifications:

• 3+ years of experiencein software engineering

• Proficient in Java and at least one other OOP language such as Kotlin, Scala, Python, Go, JavaScript or TypeScript

• Experience using source control systems and CI/CD pipelines.

• Able to design backend architectures.

• Knowledge of caching technologies.

• Strong grasp of computer science fundamentals (data structures, algorithms, databases, etc.)

• Strong understanding of design patterns and principles.

• Knowledge of asynchronous programming.

• Strong communication skills and a desire to share your knowledge with team members and others at Disney.

Preferred Qualifications:

• Experience deploying and scaling within a cloud infrastructure.

• Experience with messaging technologies (e.g., Kafka, Kinesis, SQS, etc.).

• Experience with functional programming patterns.

Experience with:

• Datadog, New Relic or similar application monitoring software

• Interacting with relational databases as well as NoSQL databases

• Understanding of async programming models (events, callbacks, promises, async/await)

• Understanding of source control concepts and exposure to Git

• Build and deployment technologies such as Jenkins and Docker

Required Education

• BA/BS degree in Computer Science or equivalent technical experience.

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