Job Description

Disney Entertainment & ESPN TechnologyOn any given day at Disney Entertainment & ESPN Technology, wexe2x80x99re reimagining ways to create magical viewing experiences for the worldxe2x80x99s most beloved stories while also transforming Disneyxe2x80x99s media business for the future. Whether thatxe2x80x99s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disneyxe2x80x99s 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 youxe2x80x99d love working for Disney Entertainment & ESPN TechnologyBuilding the future of Disneyxe2x80x99s media business: DE&E Technologists are designing and building the infrastructure that will power Disneyxe2x80x99s 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 xe2x80x93 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 Product & Data Engineering team is responsible for end to end development for Disneyxe2x80x99s 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.About The Big Data Infrastructure teamThe Big Data Infrastructure team manages big data services such as Hadoop, Spark, Flink, Presto, Hive, etc. Our services are distributed across the data center and Cloud, supporting a large scale of data amount and thousands of physical resources. We focus on the virtualization of big data environments, cost efficiency, resiliency, and performance.The right person for this role should have proven experience with working in mission-critical infrastructure and enjoy building and maintaining large-scale data systems with the challenge of varied requirements and large storage capabilities. If you are someone who enjoys building large-scale big data infrastructure, then this is a great role for you!What You'll DoDevelop, scale, and improve in-house/cloud Kubernetes and Hadoop-related systems (e.g. Yarn, Mesos, Kubernetes, EKS, EMR, etc)Investigate new big data technology, and apply it to the Disney Streaming production environment.Build next-gen big data infrastructure for batch and streaming data applications, and continuously improve performance, scalability, and availabilityHandle architectural and design considerations such as performance, scalability, reusability, and flexibility issues.Advocate engineering best practices, including the use of design patterns, code review, and automated unit/functional testing.Work together with other engineering teams to influence them on big data system design and optimization.Define and lead the adoption of best practices and processes. Collaborate with senior internal team members and external stakeholders to gather requirements and drive implementationCollaborate efficiently with Product Managers and other developers to build datastores as a service.Collaborate with senior internal team members and external stakeholders to gather requirements and drive implementation.Basic QualificationsExperience in building in-house/cloud big data environmentAt least 7 years of professional programming and design experienceExperience with containerized service or Bigdata-related components (e.g. Yarn, K8s, Mesos, EKS, Openshift, HDFS, HBase, Yarn, Hive, Spark, Flink, Presto, Impala, Terraform, EKS, Spinnaker, IAM, EMR, etc)Preferred QualificationsExperience in building architecture of big data environments based on container technologiesExperience in developing and optimizing K8s-related componentsExperience in developing and optimizing Hadoop-related components (e.g. HDFS, HBase, Yarn, Hive, Spark, Flink, Presto, Impala)Demonstrated ability with cloud infrastructure technologies, including Terraform, K8S, Spinnaker, IAM, ELB, and etcExperience in managing a big data cluster with over 1000 nodes.Required EducationBachelorxe2x80x99s Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering or comparable field of studyAdditional Information#disneytech
The hiring range for this position in Santa Monica, California is $152,200 to $204,100 per year, in Bristol, Connecticut is $152,200 to $204,100 per year, in Seattle, Washington is $159,500 to $213,900 per year. in New York City, NY is $ $159,500 to $213,900 per year, and in San Francisco, California is $166,800 to $223,600 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidatexe2x80x99s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Disney Entertainment & ESPN Technology