Jobs at The Walt Disney Company

Owns product roadmap execution for Technology Enablement Alliances products, including defining requirements, prioritizing features, coordinating engineering and cross-functional teams, managing dependencies, and delivering releases. Drives customer adoption, conducts competitive and consumer analysis, measures product impact against KPIs, resolves blockers, and collaborates with vendors and strategic partners to deliver high-quality solutions on schedule.

Build identity, login, registration, and account experiences for Android mobile and Android TV using Kotlin. Develop shared Android SDKs, feature-flagged releases, A/B tests, telemetry, and privacy-related functionality at large scale. Diagnose Android device issues, maintain code quality through testing and reviews, document integrations, and collaborate with product, data science, design, legal, and privacy teams.

Lead development and productionization of personalization and recommendation algorithms (ranking, retrieval, content/user understanding, post-ranking). Apply modern AI/LLM techniques, design and run offline and online experiments, drive technical vision and roadmap, collaborate with engineering/product/data teams, and build maintainable, production-grade ML systems at scale.

Leads the design, development, training, deployment, and optimization of scalable machine learning models, pipelines, and production systems. Provides technical guidance to engineers and data scientists, reviews ML code, contributes to platform architecture, and drives end-to-end workflows from data ingestion through model serving. Collaborates with data science, data engineering, and product teams while troubleshooting models and resolving technical issues.

Leads web infrastructure strategy and standardization for Disney’s consumer-facing media brands. Owns reliability, observability, performance, scalability, resiliency, and risk management for cloud-based services. Drives architecture patterns, technical standards, design reviews, cross-team technical decisions, and mentorship. Requires deep web architecture expertise, AWS experience, and the ability to guide engineering teams toward reliable, scalable delivery.

Lead design and implementation of scalable, low-latency ad experience systems. Mentor engineers, review code/tests, build observability, support on-call rotations, prototype ad formats, and translate product requirements into production-ready microservices.

Develop and maintain Python-based generative AI applications and conversational workflows. Implement retrieval/grounding, prompt logic, agentic tool-calling, and integrations with backend services. Support LLMOps practices (observability, evaluation, deployment), create validation datasets, assist deployment and troubleshooting, and use AI-assisted developer tools to improve engineering velocity and reliability.

Leads highly complex, strategic data platform programs from planning through delivery across engineering, product, business, vendor, and partner teams. Builds coordinated plans, manages dependencies, capacity, risks, blockers, communications, and executive reporting. Drives technical decisions, change management, Agile processes, release management, and team-of-teams collaboration while maintaining delivery momentum and quality across consumer-facing digital products.

Build and maintain complex, reusable, testable user interfaces using JavaScript, TypeScript, and React. Develop optimized, scalable applications; fix bugs; investigate production issues; collaborate with backend, product, project management, and engineering teams; conduct code reviews; promote accessibility and quality; evaluate technologies; and deliver projects on schedule using Agile and Lean practices.

Develop and support scalable, high-performance stateful microservices and serverless functions in a multi-region cloud environment. Responsibilities include software design, development, testing, deployment, system optimization, operational metrics, Agile participation, cross-functional collaboration, and mentoring engineers. The role focuses on resilient distributed systems supporting Disney’s streaming platforms and user capabilities.

Designs and implements Disney’s hyperscale platform services layer supporting Disney+, ESPN, and Hulu. Owns architecture and production software for API gateways, authentication, observability, resiliency, experimentation, and AI-ready infrastructure. Establishes platform standards, golden paths, schemas, SLOs, and reliability practices; leads technical investigations, build-versus-buy decisions, cross-organization roadmaps, and executive-level technical influence. Mentors senior engineers and drives broad adoption of shared platform services across hundreds of engineering teams.

Develop and maintain a cross-platform JavaScript video player powering Disney+, Hulu, and ESPN+ across browsers, televisions, gaming consoles, and set-top boxes. Optimize playback for resource-constrained devices, design architectures, troubleshoot complex issues, and lead testing, telemetry, build, and continuous integration strategies. Collaborate with application, backend, and product teams; mentor engineers; establish development standards; and deliver reliable streaming experiences using modern media, DRM, codec, and adaptive bitrate technologies.

Design and build a shared, feature-rich streaming media playback library for Apple platforms. Collaborate with cross-functional teams, design APIs, research playback integrations, implement features, troubleshoot issues, participate in estimation and planning, and ensure high-quality, maintainable code using Apple technologies (UIKit/SwiftUI, AVKit/AVFoundation) across iPhone, iPad, and tvOS.

The Manager of Machine Learning Engineering will lead a team to develop and deploy scalable ML solutions, oversee project direction, and ensure responsible AI practices while fostering cross-functional collaboration at Disney.

Lead the machine learning team to develop scalable AI solutions, mentor engineers, and oversee complex ML projects within the Ad Platforms organization.

The Sr Product Software Engineer will design, implement, and optimize ad decisioning software within a microservice environment, collaborating with data science and utilizing AI/ML technologies.

Design, build, and maintain scalable, fault-tolerant identity and device data pipelines and backend systems. Modernize data models, improve code quality and test coverage, support production operations and on-call, collaborate with product and cross-functional teams, and participate in code reviews and agile ceremonies.

Design and implement a reusable, feature-rich media playback library for Apple platforms. Collaborate across product, design, and backend teams to define APIs, research playback solutions, estimate projects, write maintainable code, build and run tests/CI, troubleshoot cross-platform issues, and specialize in Apple technologies (UIKit, SwiftUI, AVKit, StoreKit) to deliver consistent streaming experiences.

Lead architecture and design of enterprise-scale, secure cloud data platforms, data domains, and data products to enable analytics and AI. Define semantic layer, data catalog, agentic data access to AI, and MDM strategies for complex domains while collaborating with product, engineering, and business stakeholders.