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USA Jobs

Staff Software Engineer

USA Jobs, Glendale, California, us, 91222

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Staff Software Engineer

Disney has created one of the most powerful brands by bringing memorable, life-changing storytelling to the world. The foundation of this creativity starts with The Walt Disney Studios. As a member of the Studio Technology Team, you will be responsible for the successful delivery of products and software solutions supporting our production, content operations, and marketing teams. We are seeking a Staff Software Engineer to lead the development of intelligent, scalable systems within the Studio Digital Supply Chain. This role is central to building the next generation of media workflows that combine deterministic orchestration with AI/ML-driven, agentic behaviors. You will architect cloud-native, event-driven services that enable dynamic decision-making, automation, and human-in-the-loop processes. Ideal candidates bring deep experience in distributed systems and cloud platforms, along with a strong interest or background in building systems that integrate machine learning, large language models, or rules-based engines for adaptive workflows. Responsibilities: Design AI-Augmented Workflows: Lead the development of systems that exhibit agentic behavior using AI/ML technologies. Integrate tools such as large language models (LLMs), decision engines, and semantic search. Enable intelligent, adaptive processing within complex workflow environments. Workflow Orchestration & Automation: Create deterministic workflows using state machines or rules engines. Design hybrid patterns that blend structured logic with adaptive capabilities. Enable flexible execution of both predictable and dynamic processes. Architecture & Scalability: Build modular, distributed system architectures. Optimize for high-throughput, long-running, and stateful tasks. Support human-in-the-loop processing in complex studio workflows. Event-Driven Development: Develop services that use event-driven communication patterns. Leverage Kafka, EventBridge, or SNS/SQS for messaging and orchestration. Ensure resilience and loose coupling between distributed components. API & Microservices Engineering: Build performant APIs and microservices in Java, Python, or Node.js. Design for cloud-native environments and deployment flexibility. Emphasize reliability, maintainability, and clear service boundaries. Cross-Functional Collaboration: Collaborate with product, program, and ML stakeholders. Translate business and creative requirements into scalable systems. Align diverse teams around shared architecture and delivery goals. Mentorship & Best Practices: Guide engineers through architecture and code reviews. Provide mentorship on system design and software quality. Foster innovation and technical excellence across the team. Requirements: Bachelor's or master's degree in a Computer Science, Software Engineering, or a related field. Must have 7+ years of experience building distributed, cloud-native backend systems. Must have hands-on experience integrating AI/ML tools, LLMs, or decision engines into workflow-driven systems. Strong foundation in cloud platforms (especially AWS), event-driven architecture, and infrastructure automation. Must have strong proficiency in Java, Python, or Node.js. Must have deep knowledge of containerization (Docker, Kubernetes), CI/CD pipelines, and system observability. Exceptional communication and technical leadership skills. Preferred: Prior experience in Media or Entertainment, particularly studio/post-production workflows. Experience building shared platforms or multi-tenant environments. Hands-on experience with machine learning systems, pipelines, or model integration in production environments. Familiarity with Agile and DevOps methodologies. At Disney, storytelling is powered with technology. As a key contributor in Studio Technology, you'll help revolutionize the way our stories are delivered by building the backbone of our digital content operations. Join us to shape the systems and workflows that enable storytelling at global scale.