Manager, Software Engineering - Ads Data Infrastructure and Devops

$156,300 - $209,600/Yr

Hulu - Seattle, WA

Full-time - Manager

Seattle, WA

Motion Picture and Sound Recording Industries

About the position

The Manager of Software Engineering for Ads Data Infrastructure and DevOps at Disney Entertainment & ESPN Technology is responsible for leading a team that builds and maintains the cloud infrastructure necessary for data engineering teams. This role involves coordinating team efforts, troubleshooting technical issues, mentoring engineers, and ensuring that technical solutions align with business needs. The position plays a crucial role in the development of innovative products and services that enhance the viewing experience for millions of consumers.

Responsibilities

• Lead team planning and coordination within each sprint
• Coordinate with other Ad Platform Infrastructure teams
• Coordinate with Ad Platform Data Engineering to ensure proper prioritization
• Troubleshoot issues between teams with respect to project initiatives and technical dependencies
• Troubleshoot issues between team members, both interpersonal and technical in nature
• Mentor team members and participate in their growth as engineers
• Guide technical solutions to ensure they align with business needs and timelines

Requirements

• Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
• 6+ years of cloud infrastructure experience
• 6+ years of software development experience with Python, Go, or Scala
• 3+ years of big data infrastructure experience
• 4+ years of big data infrastructure leadership experience
• Demonstrable analytical/problem solving skills
• Great communication, collaboration skills and a strong teamwork ethic with both technical and non-technical audiences

Nice-to-haves

• Deep experience with AWS
• Experience managing Databricks environments on AWS
• Experience managing EKS
• Experience managing Spark and/or Flink on Databricks or on Kubernetes/EKS
• Experience with Apache Kafka and/or Kinesis
• Experience with Apache Airflow
• Ad Tech industry experience

Benefits

• Medical insurance
• Financial benefits
• Bonus and/or long-term incentive units