Disney Entertainment & ESPN Technology
Senior Software Engineer
Disney Entertainment & ESPN Technology, Seattle, Washington, us, 98127
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. 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.
Ad Platforms organization within Disney Entertainment and ESPN Technology is fully responsible for building, enhancing and maintaining the high-performance, distributed, microservice-based Advertising Platform across all of Disney online properties, including Hulu and ESPN+. We build and maintain proprietary technology, ranging from ad serving and ad delivery, campaign management, reporting as well as all the integrations internal and external that come with evolving and maintaining a best-in-class video advertising business. The Ad Intelligence team is under Ad Platforms and its mission is to transform advertising and Disney's Ad platform with data and AI across TV and streaming video. We build solutions to measure and optimize every aspect of the advertising life cycle. Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. Our team is seeking a senior software engineer who will be a core team member for our advertising data platform engineering group. This engineering group focuses on big data infrastructure, operational data, audience solution, inventory forecasting and full funnel measurements as a foundation layer for Disney’s addressable Ad Platforms. The right person for this role should have extensive experience on big data as well as solid expertise on backend services or full stack. If you are someone who is proactive, hardworking, and enthusiastic in these domains, this is a phenomenal role for you! What You'll Do
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
Build next-gen cloud based big data infrastructure for batch and streaming data applications, and continuously improve performance, scalability and availability
Contribute to the best engineering practices, including the use of design patterns, CI/CD, code review and automated test
Chip in ground-breaking innovation and apply the state-of-the-art technologies
As a key member of the team, contribute to all aspects of the software lifecycle: design, experimentation, implementation and testing.
Collaborate with program managers, product managers, SDET, and researchers in an open and innovative environment
What To Bring
5+ years of professional programming in Java, Scala, Python, and etc.
3+ years of big data development experience with technical stacks like Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies
Knowledge of system, application design and architecture
Experience of building industry level high available and scalable service
Passion about technologies, and openness to interdisciplinary work
Required Education Bachelor degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering or comparable field of study
Nice To Haves
Experience with processing large amount of data at petabyte level
Demonstrated ability with cloud infrastructure technologies, including Terraform, K8S, Spinnaker, IAM, ALB, and etc.
Experience with ClickHouse, Druid, Snowflake, Impala, Presto, Kinesis, etc.
Experience in widely used Web frameworks (SpringBoot, React.js, Vue.js, Angular, etc.)
Additional Information
#DISNEYTECH The hiring range for this position in Santa Monica, CA is $138,900 to $186,200 per year, in San Francisco, CA is $152,100 to $203,900 per year, in Seattle, WA is $145,400 to $195,000 per year, and in New York, NY is $145,400 to $195,000 per year. 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. 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.
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. 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.
Ad Platforms organization within Disney Entertainment and ESPN Technology is fully responsible for building, enhancing and maintaining the high-performance, distributed, microservice-based Advertising Platform across all of Disney online properties, including Hulu and ESPN+. We build and maintain proprietary technology, ranging from ad serving and ad delivery, campaign management, reporting as well as all the integrations internal and external that come with evolving and maintaining a best-in-class video advertising business. The Ad Intelligence team is under Ad Platforms and its mission is to transform advertising and Disney's Ad platform with data and AI across TV and streaming video. We build solutions to measure and optimize every aspect of the advertising life cycle. Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. Our team is seeking a senior software engineer who will be a core team member for our advertising data platform engineering group. This engineering group focuses on big data infrastructure, operational data, audience solution, inventory forecasting and full funnel measurements as a foundation layer for Disney’s addressable Ad Platforms. The right person for this role should have extensive experience on big data as well as solid expertise on backend services or full stack. If you are someone who is proactive, hardworking, and enthusiastic in these domains, this is a phenomenal role for you! What You'll Do
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
Build next-gen cloud based big data infrastructure for batch and streaming data applications, and continuously improve performance, scalability and availability
Contribute to the best engineering practices, including the use of design patterns, CI/CD, code review and automated test
Chip in ground-breaking innovation and apply the state-of-the-art technologies
As a key member of the team, contribute to all aspects of the software lifecycle: design, experimentation, implementation and testing.
Collaborate with program managers, product managers, SDET, and researchers in an open and innovative environment
What To Bring
5+ years of professional programming in Java, Scala, Python, and etc.
3+ years of big data development experience with technical stacks like Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies
Knowledge of system, application design and architecture
Experience of building industry level high available and scalable service
Passion about technologies, and openness to interdisciplinary work
Required Education Bachelor degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering or comparable field of study
Nice To Haves
Experience with processing large amount of data at petabyte level
Demonstrated ability with cloud infrastructure technologies, including Terraform, K8S, Spinnaker, IAM, ALB, and etc.
Experience with ClickHouse, Druid, Snowflake, Impala, Presto, Kinesis, etc.
Experience in widely used Web frameworks (SpringBoot, React.js, Vue.js, Angular, etc.)
Additional Information
#DISNEYTECH The hiring range for this position in Santa Monica, CA is $138,900 to $186,200 per year, in San Francisco, CA is $152,100 to $203,900 per year, in Seattle, WA is $145,400 to $195,000 per year, and in New York, NY is $145,400 to $195,000 per year. 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. 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.