Principal Software Engineer

About The Job

Disney Streaming is a premium streaming TV destination that seeks to captivate and connect viewers with the stories they love. We create amazing experiences that celebrate the best of entertainment and technology. We’re looking for exceptional individuals who are passionate about redefining TV through innovation, unconventional thinking, and embracing fun. It’s a mission that takes serious intelligence, intense curiosity, and unwavering determination to be the best. Come join the team that's powering play.

The Big Data Infrastructure team at Disney Streaming is in search of a Principal Software Engineer who will be a vital addition to our Big Data Infrastructure team. The ideal candidate for this role should have a proven track record of working on mission-critical infrastructure, demonstrating expertise in building and maintaining large-scale data systems that can handle diverse requirements and substantial storage needs. If you thrive on developing large-scale big data infrastructure, then this role is an exciting opportunity for you.

What You'll Do

• Develop, scale, and enhance in-house and cloud-based big data systems, including but not limited to Hadoop-related technologies (e.g., Spark, Flink, Presto, HDFS, Hive), Kubernetes, EMR, EKS, Glue, and IAM.
• Explore and evaluate new big data technologies, and apply them to enhance Disney Streaming's production environment.
• Engineer next-generation cloud-based big data infrastructure for batch and streaming data applications while continually improving performance, scalability, and availability.
• Address architectural and design considerations, focusing on performance, scalability, reusability, and flexibility.
• Promote engineering best practices, including the use of design patterns, code review processes, and automated unit/functional testing.
• Collaborate closely with other engineering teams to influence their approach to big data system design and optimization.
• Define and lead the adoption of best practices and streamlined processes within the team.
• Work efficiently with Product Managers and fellow developers to develop data stores as a service.
• Collaborate with senior internal team members and external stakeholders to gather requirements and drive implementation.
  
  
  

What To Bring

• Bachelor's degree in a computer science-related field.
• At least 10 years of professional programming and design experience.
• 7+ years of experience with big data. Proficiency in one or more open-source big data systems, including HDFS, Yarn, HBase, Hive, Spark, Flink, Presto, Kubernetes, etc. You should be able to customize at least one of these systems at the code level.
• A willingness to dive deep and become an expert in one or more big data systems, including a readiness to contribute to open-source software systems by fixing bugs, adding new features, improving performance, and giving back to the community.
• Strong technical passion, exceptional problem-solving skills, a results-driven attitude, and the ability to work independently.
• Excellent communication and collaboration skills.
  
  
  

Nice To Haves

• Master's degree in a computer science-related field.
• xperience in building in-house big data infrastructure.
• Proficiency 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 more.
• Experience in managing a big data cluster with over 1000 nodes.
  
  
  

The hiring range for this position in Seattle, WA is $189,300 to $253,800 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.

Location: Seattle, WA, US

Posted Date: 12/7/2023