Sr Software Engineer - Content Platform Engineering

Senior Software EngineerDisney 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 are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. 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.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 be responsible for building 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.Responsibilities and Duties of the Role: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.Required Education, Experience/Skills/Training:5+ years relevant industry experienceProficiency 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 JenkinsExperience 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, etcExperience with a wide range of data store technologies such as MongoDB, Redis, Elasticsearch, Postgres, and DynamoDBExperience in Agile/Scrum methodologyTeam player with strong oral and written communications skillsPreferred Qualifications:Exposure to machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) or building AI/ML solutions.Familiar with machine learning model trainingFamiliar with prompt engineering and interacting with LLMSExperience 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 also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. 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/or other benefits, dependent on the level and position offered.