Description
Disney Entertainment and ESPN Product & Technology is seeking a Software Engineer II to join the Content Platform Engineering team, focusing on building and supporting ML-assisted pipelines to improve content inspection.
The team develops and manages 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 apply software engineering fundamentals to help implement and maintain components of ML-assisted pipelines that support automated inspection, validation, and enrichment of media assets. You will work with computer vision models, LLMS, and other ML workflows to assist in streamlining content analysis.
Responsibilities and Duties of the Role:
- Write and maintain software solutions: Implement and test software features under close guidance, following established designs, coding standards, and documented procedures.
- Support AI workflows: Assist with AI-related development tasks, such as integrating existing AI or machine-learning services and verifying basic inputs and outputs, with support from more experienced engineers.
- Production support: Assist with monitoring and troubleshooting production systems, following runbooks and escalation procedures to help maintain system stability.
- Continuous learning: Develop foundational skills in software development, cloud technologies, and introductory machine-learning concepts through hands-on work, training, and mentorship.
Required Education, Experience/Skills/Training:
- Bachelor's degree in computer science or comparable field of study, and equivalent work experience.
- 3+ years relevant industry experience.
- Proficiency in at least one core programming language (e.g., Java, Python) for building reliable and maintainable software solutions.
- Understanding of software development fundamentals, including object-oriented programming, data structures, and algorithms.
- Strong problem-solving skills and the ability to work collaboratively in a team environment.
- Experience working with REST APIs or GraphQL for building and consuming web services.
- Familiarity with cloud platforms like AWS and their core services (e.g., S3, Lambda, EC2).
- Knowledge of database systems, including MongoDB (NoSQL) and SQL-based databases.