Disney Parks and Resorts
Job Summary:
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. 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. The Personalization and Recommendations team builds systems that provide distinctly tailored experiences to viewers across our streaming products around the globe. We use Machine Learning and Artificial Intelligence to create powerful content discovery experiences across web, mobile, and living room devices. The Data and Infrastructure team is central to that mission: we provide the data to our Machine Learning models and downstream client teams that enable the most relevant content to viewer matching possible. As a Senior Software Engineer in this role, you'll apply your passion for data, along with your previous experience working with large scale, low-latency backend distributed systems and data stores to help our team meet this goal. What You'll Do: Design, build and maintain large-scale, low-latency data stores
that power personalized content recommendations at global scale Develop and optimize backend APIs and services
that reliably deliver personalization data to downstream clients for our hundreds of millions of streaming subscribers Craft and evolve data production and ingestion pipelines
to ensure timely, performant and economical persistence of foundational personalization data Collaborate with machine learning engineers
to design and implement elegant solutions used for feature storage, retrieval, and online inference Champion operational excellence
by leading observability best practices and participating in an on-call rotation for our tier one critical services What You'll Bring: Basic Qualifications Bachelor's degree in Computer Science (or related field), or equivalent work experience 5+ years of related experience working with large scale distributed systems and data at scale Strong grasp of computer science fundamentals (data structures, algorithms, design patterns, etc.) Strong programming skills in Java, Python, or comparable object-oriented language Hands-on experience with NoSQL data stores (e.g. DynamoDB, Cassandra, ScyllaDB, or other) Familiarity with Databricks or equivalent large-scale data processing platforms Demonstrated knowledge of caching technologies Demonstrated knowledge of operating within a Public Cloud Provider (e.g. AWS, Microsoft Azure, Google Cloud) Demonstrated knowledge of source control systems and CI/CD pipelines Strong communication skills, both written and verbal Preferred Qualifications Experience designing performant database schemas at scale Proficiency working in Databricks to build data pipelines Experience with distributed data processing frameworks, such as Apache Spark Demonstrated knowledge of messaging technologies (e.g. Kafka, Kinesis, SQS, or other) Familiarity with recommendation systems industry architectures and best practices Hands-on experience using AI to accelerate design and development Disney Streaming Technology LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law.
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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. 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. The Personalization and Recommendations team builds systems that provide distinctly tailored experiences to viewers across our streaming products around the globe. We use Machine Learning and Artificial Intelligence to create powerful content discovery experiences across web, mobile, and living room devices. The Data and Infrastructure team is central to that mission: we provide the data to our Machine Learning models and downstream client teams that enable the most relevant content to viewer matching possible. As a Senior Software Engineer in this role, you'll apply your passion for data, along with your previous experience working with large scale, low-latency backend distributed systems and data stores to help our team meet this goal. What You'll Do: Design, build and maintain large-scale, low-latency data stores
that power personalized content recommendations at global scale Develop and optimize backend APIs and services
that reliably deliver personalization data to downstream clients for our hundreds of millions of streaming subscribers Craft and evolve data production and ingestion pipelines
to ensure timely, performant and economical persistence of foundational personalization data Collaborate with machine learning engineers
to design and implement elegant solutions used for feature storage, retrieval, and online inference Champion operational excellence
by leading observability best practices and participating in an on-call rotation for our tier one critical services What You'll Bring: Basic Qualifications Bachelor's degree in Computer Science (or related field), or equivalent work experience 5+ years of related experience working with large scale distributed systems and data at scale Strong grasp of computer science fundamentals (data structures, algorithms, design patterns, etc.) Strong programming skills in Java, Python, or comparable object-oriented language Hands-on experience with NoSQL data stores (e.g. DynamoDB, Cassandra, ScyllaDB, or other) Familiarity with Databricks or equivalent large-scale data processing platforms Demonstrated knowledge of caching technologies Demonstrated knowledge of operating within a Public Cloud Provider (e.g. AWS, Microsoft Azure, Google Cloud) Demonstrated knowledge of source control systems and CI/CD pipelines Strong communication skills, both written and verbal Preferred Qualifications Experience designing performant database schemas at scale Proficiency working in Databricks to build data pipelines Experience with distributed data processing frameworks, such as Apache Spark Demonstrated knowledge of messaging technologies (e.g. Kafka, Kinesis, SQS, or other) Familiarity with recommendation systems industry architectures and best practices Hands-on experience using AI to accelerate design and development Disney Streaming Technology LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law.
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