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Sr Software Engineer - Content Platform Engineering

Job in Glendale, Los Angeles County, California, 91222, USA
Listing for: 5014 Disney Streaming Technology LLC
Full Time position
Listed on 2026-05-30
Job specializations:
  • Software Development
    Software Engineer, Cloud Engineer - Software, Full Stack Developer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 138900 - 186200 USD Yearly USD 138900.00 186200.00 YEAR
Job Description & How to Apply Below

Sr Software Engineer – Content Platform Engineering

Location:

Glendale, CA (also Bristol, CT)

Employment Type:

Full Time

Overview

Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally. The team marries technology with creativity to build world‑class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.

Why

Join Us
  • Building the future of Disney’s media:
    Designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
  • Reach, Scale & Impact:
    Disney’s technology and products serve as a signature doorway for fans’ connections with the company’s brands and stories.
  • Innovation:
    Developing and implementing groundbreaking products and techniques that shape industry norms and solve complex technical problems.
Job Summary

We are seeking a highly skilled Senior Software Engineer to join our Content Platform Engineering team, focusing on building and enhancing platform capabilities with a strong emphasis on computer vision and machine learning (ML) workflows. The role involves designing and implementing scalable systems, data pipelines, and platform services that deliver automated inspection, validation, and enrichment of media assets. Responsibilities include building end‑to‑end media inspection pipelines that leverage computer vision to streamline content analysis and inspection, and building robust, extensible platforms that enable intelligent content operations at scale.

Responsibilities
  • Write and maintain software solutions: design, write, test, and deploy high‑quality code to develop reliable, maintainable software solutions.
  • Collaborate with cross‑functional teams: work closely with platform engineers, product teams, and data scientists to ensure technical solutions effectively support business goals and content strategies.
  • Production support: monitor and optimize production systems, ensuring platform stability, performance, and uptime.
  • Mentorship: provide technical guidance and mentorship to junior engineers, fostering a culture of collaboration and continuous learning.
Qualifications
  • Basic Qualifications:
  • 5+ years relevant industry experience.
  • Proficiency in at least one core programming language (e.g., Java, Python, or JavaScript).
  • Experience working with REST APIs or Graph

    QL for building and consuming web services.
  • Experience with cloud platforms like AWS and core services (S3, Lambda, EC2).
  • Solid understanding of software design principles, algorithms, and data structures.
  • Experience with build and deployment technologies such as Docker, Gitlab‑CI, Terraform/Cloud Formation, and Jenkins.
  • Experience with containerization and orchestration technologies (Docker, Kubernetes).
  • Expertise with the full lifecycle of application development, including unit testing, code reviews, documentation, and best practices.
  • Experience with a wide range of data store technologies such as Mongo

    DB, Redis, Elasticsearch, Postgres, and Dynamo

    DB.
  • Experience in Agile/Scrum methodology.
  • Team player with strong oral and written communication skills.
  • Required

    Education:

    Bachelor’s degree in computer science or comparable field of study, or equivalent work experience.
  • Preferred Qualifications:
  • Exposure to machine learning frameworks (Tensor Flow, PyTorch, Scikit‑learn) or building AI/ML solutions.
  • Familiar with machine learning model training, prompt engineering, and interacting with LLMs.
  • Experience integrating machine learning models into production systems, including working with data pipelines and AI‑driven solutions.
  • Previous work experience in media or entertainment technology, particularly in content distribution and media supply chain.
Compensation

Base salary range: $138,900 to $186,200 per year (Glendale, CA and Bristol, CT). The actual offer may vary based on internal equity, geographic region, and candidate qualifications. In addition to base pay, the package may include a bonus and/or long‑term incentive units, and a full range of medical, financial, and other benefits.

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