Manager, Software Engineering - Ads Data Infrastructure and Devops

$156,300 - $209,600/Yr

Hulu - New York, NY

Full-time - Manager

New York, NY

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 overseeing the development of big data infrastructure in AWS, coordinating with various teams, troubleshooting technical issues, and mentoring team members to ensure alignment with business needs and timelines. The position plays a crucial role in enhancing Disney's media and advertising capabilities, contributing to the company's future growth.

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 interpersonal and technical issues within the team
• Mentor team members and participate in their growth as engineers
• Guide technical solutions to ensure alignment 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 benefits
• Financial benefits
• Bonus and/or long-term incentive units may be provided as part of the compensation package