Sr Software Engineer

Disney Disney · Media · Bristol, CT +2

Seeking a Senior Software Engineer to enhance platform capabilities for Disney's media supply chain, focusing on computer vision and ML workflows for automated media asset inspection, validation, and enrichment. The role involves designing and implementing scalable systems and data pipelines leveraging cloud infrastructure and modern software engineering practices.

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

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 inspection pipelines

Other signals

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