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The Walt Disney Company

Manager, Software Engineering

Posted 20 Days Ago
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Hybrid
Santa Monica, CA
Senior level
Hybrid
Santa Monica, CA
Senior level
Lead the engineering team to develop an advanced advertising platform leveraging big data and AI. Focus on driving adoption of best engineering practices, collaborating with various stakeholders, and mentoring team members. Oversee large-scale streaming data pipelines and ensure high-performance service design.
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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.


Ad Platforms organization within Disney Entertainment and ESPN Technology is fully responsible for building, enhancing and maintaining the high-performance, distributed, microservice-based Advertising Platform across all of Disney online properties, including Hulu and ESPN+. We build and maintain proprietary technology, ranging from ad serving and ad delivery, campaign management, reporting as well as all the integrations internal and external that come with evolving and maintaining a best-in-class video advertising business.
The Ad Intelligence team is under Ad Platforms and its mission is to transform advertising and Disney's Ad platform with data and AI across TV and streaming video. We build solutions to measure and optimize every aspect of the advertising life cycle. Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. Our team is seeking a software engineering manager who will lead an engineering team within ad intelligence. This engineering group focuses on industry-leading ad decisioning solutions, big data infrastructure, operational data, audience solution, inventory forecasting and full funnel measurements as a foundation layer for Disney's addressable Ad Platforms. The right person for this role should be experienced with big data technologies, high performance services, organization development, and crafting implementation for either service/data products or fullstack solutions. If you are someone who is proactive, hardworking, and enthusiastic in these domains, this is a phenomenal role for you!
WHAT YOU'LL DO

  • Lead an engineering team in constructing a next-generation, big-data and AI-driven advertising system to advance Disney's addressable advertising platform capabilities
  • Continuously evolve team mission, strategy and charter, and develop team structure for changing business needs and technology trend
  • Drive adoption of the best engineering practices, including the use of design patterns, CI/CD, code review and automated integration testing
  • Collaborate with program managers, product managers, SDET, and researchers in an open and innovative environment
  • Recruit and mentor team members, and guide their career development
  • Communicate status to senior management


WHAT TO BRING

  • Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
  • 8+ years of professional programming in Scala, Java, Python, and etc.
  • 1+ years of people and project management experience
  • 3+ years of experience in developing, deploying, and managing large-scale streaming data pipelines
  • 5+ years of high-performance, high-scalable service design experience or equivalent bigdata design experience with Spark, Flink, Druid, Single Store, Snowflake, Kafka, Nifi or other AWS bigdata technologies
  • Proven track record with cloud infrastructure technologies, at least two of Terraform, K8S, Spinnaker, IAM, ALB, and etc.
  • In-depth experience of industry level highly available and scalable service
  • Experience with processing large amount of data at petabyte level
  • Strong knowledge of system, application design and architecture
  • Passion about technologies, and openness to interdisciplinary work
  • Excellent leadership, communication and stakeholder management skills


NICE-TO-HAVES

  • MS or PhD in computer science, EE or other quantitative subject area.
  • Experience in digital advertising
  • Experience with machine learning and AI
  • Experience with a widely used Microservice framework (Spring boot, Spring Cloud, Express.js etc.)
  • Experience with databricks, snowflake, Redshift etc.


The hiring range for this position in Santa Monica, CA is $167,700 - $224,900 per year, in San Francisco, CA is $183,700 - $246,400 per year, in Seattle, WA is $175,800 - $235,700 per year, and in New York, NY is $175,800 - $235,700 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.

Top Skills

Java
Python
Scala

The Walt Disney Company London, England Office

London, United Kingdom

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