Platform engineer • glendale ca
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 v... Show more
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The average salary range is between $ 136,500 and $ 200,000 year , with the average salary hovering around $ 159,264 year .
The average salary range is between $ 112,845 and $ 185,188 year , with the average salary hovering around $ 139,741 year .
Job Summary:
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:
Basic Qualifications:
5+ years relevant industry experience
Proficiency in at least one core programming language (., 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 (., 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 (., 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 (., 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.
Required Education:
Bachelor’s degree in computer science or comparable field of study, and/or equivalent work experience.
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