Sr Software Engineer - Content Platform Engineering

Disney Disney · Media · Glendale, CA +2

Senior Software Engineer for Content Platform Engineering at Disney, focusing on building and enhancing platform capabilities with an emphasis on computer vision and machine learning (ML) workflows. The role involves designing and implementing scalable systems and data pipelines for automated inspection, validation, and enrichment of media assets using computer vision, and building end-to-end media inspection pipelines.

What you'd actually do

  1. Design, write, test, and deploy high-quality code to develop reliable, maintainable software solutions.
  2. Work closely with platform engineers, product teams, and data scientists to ensure technical solutions effectively support business goals and content strategies.
  3. Monitor and optimize production systems, ensuring platform stability, performance, and uptime.
  4. Provide technical guidance and mentorship to junior engineers, fostering a culture of collaboration and continuous learning.

Skills

Required

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

Nice to have

  • Exposure to machine learning frameworks (e.g., TensorFlow, 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.

What the JD emphasized

  • computer vision
  • machine learning (ML) workflows
  • media supply chain
  • content analysis
  • media inspection pipelines
  • AI/ML solutions

Other signals

  • computer vision
  • machine learning workflows
  • media supply chain
  • content analysis