Sr Software Engineer

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 our 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 enhance 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 here:

• Building the future of Disney's media: DE&E Technologists are designing and building the infrastructure that will power our 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 implement groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.

SUMMARY

The Big Data Infrastructure team is seeking a senior software developer who will be an exceptional addition to our Big Data Infrastructure team. The right person for this role should have proven experience with working in mission-critical infrastructure, enjoys 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-scaled big data infrastructure, then this is a great role for you.

Responsibilities:

• Develop, scale, and improve in-house/cloud and open-source big data systems for query engine, storage, or resource management (e.g. Hive, Spark, Flink, Presto, HDFS, HBase, Yarn, Kubernetes, EMR, EKS, etc)
• Investigate new big data technology, and apply it to the DisneyStreaming production environment
• Build next-gen big data infrastructure with up-to-date technologies and continuously improve performance, scalability and availability
• Handle architectural and design considerations to evolute the system, focusing on security, efficiency, and flexibility
• Advocate engineering best practices, including the use of design patterns, code review and automated unit/functional testing
• Work closely with other engineering teams to influence their big data system designs and optimization efforts. Foster a culture of collaboration and knowledge-sharing
• Collaborate with senior internal team members and external stakeholders to gather requirements and drive the implementation of big data solutions that support our business goals

Basic Qualifications:

• BS or MS degree in a CS-related major
• 5+ years of professional programming and design experience
• Familiar with one or more open-source big data systems, including Hive, Spark, Flink, Presto, HDFS, Yarn, HBase, Kubernetes, etc. And customize at least one of the above-mentioned systems at code level

Additional Qualifications:

• Experience in building in-house big data infrastructure
• Experience in developing and optimizing Hadoop-related components (e.g. HDFS, HBase, Yarn, Hive, Spark, Flink, Presto)
• Demonstrated ability with cloud infrastructure technologies, including Terraform, K8S, IAM, ELB, Ranger, KMS, etc.
• Experience in managing a big data cluster with over 1000 nodes
• Willing to dive deep and become an expert in one or more big data systems, ready to open up code of open-source software systems to fix bugs, add new features, improve performance, and contribute back to the community
• With great technical passion, terrific problem-solving skills, drive for results, and the ability to work independently
• Good communication and collaboration skills

The hiring range for this position in Santa Monica, California is $136,038 to $182,490 per year, in San Francisco, California is $149,000 to $199,000 per year, and in Seattle, Washington is $142,516 to $191,180 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.