Lead Software Engineer

Job Posting Title:

Lead Software Engineer

Req ID:

10100844

Job Description:

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.

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.

About The Big Data Infrastructure team

The 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 Do

• Develop, 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 availability

• Handle 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 implementation

• Collaborate 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 Qualifications

• Experience in building in-house/cloud big data environment

• At least 7 years of professional programming and design experience

• Experience 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 Qualifications

• Experience in building architecture of big data environments based on container technologies

• Experience in developing and optimizing K8s-related components       

• Experience in developing and optimizing Hadoop-related components (