Sr Software Engineer - Content Platform Engineering

Sr Software Engineer - Content Platform Engineering

Job
Location Glendale, California, United States / Bristol, Connecticut, United States
Business Disney Entertainment and ESPN Product & Technology
Date posted Jul. 21, 2026

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. Our team develops and manages a diverse suite of products and services that power Disney’s media supply chain, enabling content delivery for iconic brands like Disney+, ESPN+, Hulu, ABC, Marvel, and Star Wars.

In this role, you will design and implement scalable systems, data pipelines, and platform services that deliver automated inspection, validation, and enrichment of media assets. You will build end‑to‑end media inspection pipelines that leverage computer vision to streamline content analysis and inspection. Leveraging modern software engineering practices and cloud infrastructure, you will build robust, extensible platforms that enable intelligent content operations at scale.

• 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.

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 GraphQL for building and consuming web services.
• Experience with cloud platforms like AWS and their core services (e.g., 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 (e.g., Docker, Kubernetes).
• Expertise with full lifecycle of application development, including best practices of unit testing, code reviews, documentation, etc.
• Experience with a wide range of data store technologies such as MongoDB, Redis, Elasticsearch, Postgres, and DynamoDB.
• Experience in Agile/Scrum methodology.
• Team player with strong oral and written communications skills.

Preferred Qualifications:

• Exposure to machine learning frameworks (e.g., Tensor Flow, PyTorch, Scikit‑learn) or building AI/ML solutions.
• Familiar with machine learning model training.
• Familiar with 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.

Required

Education:

• Bachelor’s degree in computer science or comparable field of study, and/or equivalent work experience.

The hiring range for this position in Glendale, CA and Bristol, CT is $138,900 to $186,200 per year. The base pay actually offered will take into account internal equity and may also vary depending on the candidate’s geographic region, job‑related knowledge, skills, and experience. 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 other benefits, dependent on the level and position offered.

Disney Entertainment & Sports LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin,…