Santa Monica, CA, USA
1 day ago
Manager, Software Engineering

Job Posting Title:

Manager, Software Engineering

Req ID:

10109795

Job Description:

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 capabilitiesContinuously evolve team mission, strategy and charter, and develop team structure for changing business needs and technology trendDrive adoption of the best engineering practices, including the use of design patterns, CI/CD, code review and automated integration testingCollaborate with program managers, product managers, SDET, and researchers in an open and innovative environmentRecruit and mentor team members, and guide their career developmentCommunicate 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 experience3+ years of experience in developing, deploying, and managing large-scale streaming data pipelines5+ 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 technologiesProven 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 serviceExperience with processing large amount of data at petabyte levelStrong knowledge of system, application design and architecturePassion about technologies, and openness to interdisciplinary workExcellent leadership, communication and stakeholder management skills

NICE-TO-HAVES

MS or PhD in computer science, EE or other quantitative subject area.Experience in digital advertisingExperience with machine learning and AIExperience 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.

Job Posting Segment:

Ad Platforms

Job Posting Primary Business:

AP - Software Engineering

Primary Job Posting Category:

Software Engineer

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Santa Monica, CA, USA

Alternate City, State, Region, Postal Code:

USA - CA - 1200 Grand Central Ave

Date Posted:

2025-01-08
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