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Disney Entertainment & ESPN Technology On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future. Whether that's evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. A few reasons why we think you'd love working here: Building the future of Disney's media business: DE&E Technologists are designing and building the infrastructure that will power Disney's media, advertising, and distribution businesses for years to come. Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day - from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. Media Engineering Media Engineering is an innovative organization that is focused on providing the best possible video playback experience, art, and metadata to customers around the world, powered by exceptional technology. This strategic work requires streamlining and repurposing technology across different business and distribution channels - including streaming, linear, and theatrical - so that technology can ebb and flow across the needs of the business. Disney Entertainment and ESPN Technology is looking for a Senior Software Engineer to join the Media Security team within the Playback Services, Media Engineering organization! Our mission is to build highly available, high throughput services that are crucial to delivering high quality content to our subscribers. We are responsible for the backend of media rights services for facilitating playback and antipiracy technologies. If you enjoy streaming media, digital rights management, are interested in live sports and entertainment, or just want to join a fast-growing team that plays a significant role in the core functionality of our streaming products, then this role is for you! Responsibilities Work with a team of engineers to build high-performance, stable, scalable systems to be deployed in an enterprise setting Lead high-level architecture discussions and planning sessions, author and share feedback on technical proposals and root cause analyses, and establish standards within the team to drive quality and excellence Participate in the on-call rotation, supporting systems and services during production incidents Provide mentoring and advice for other engineers Participate in the DSS technical community through presentations, tech talks, and other knowledge-sharing efforts Basic Qualifications: Bachelor's degree in Computer Science, Information Systems, Software Engineering, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Minimum of 5 years related experience crafting backend architectures and delivering backend applications in a production environment. Validated knowledge of operating large-scale high-availability backend services and JVM services Expertise in functional programming patterns and experience building RESTful services (Scala APIs) Understanding of async programming models (events, callbacks, promises, async/await) and threading/concurrency Strong grasp of computer science fundamentals (data structures, algorithms, databases, etc.) and strong understanding of design patterns and principles Experience operating within a Public Cloud Provider (e.g., AWS, Microsoft Azure, Google Cloud) Understanding of source control concepts and systems, CI/CD pipelines and exposure to Git Experience with build and deployment technologies such as Jenkins and Docker. Experience with messaging technologies (e.g., Kafka, Kinesis, SQS, etc.) Experience with observability tools for metrics, logging, and monitoring (e.g., Datadog, Splunk, Grafana) Knowledge of caching technologies Knowledge of AGILE/Scrum practices. Strong written and verbal communication skills. Self-learner, independent, excellent problem-solving skills The hiring range for this position in New York, NY is $148,700 to $199,400 per year and in Santa Monica, CA, $141,900 - $190,300 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.

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney 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. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality engineering, and the engineering behind personalization, commerce, lifecycle, and identity. Job Summary: The DEEP & Technology team is seeking a highly experienced Senior Manager (M3) to lead and scale our Quality Engineering organization supporting various commerce, data and advertising systems. In this role, you will provide strategic, operational, and technical leadership across multiple quality engineering teams, ensuring robust test automation, reliability, and business impact at scale. You will develop and execute a quality strategy that drives measurable improvement in system reliability, speed of delivery, and product excellence, partnering closely with executives, engineering leadership, and cross-functional business units. Ideal candidates are visionary people leaders with a proven track record of growing high-performing teams, implementing transformational quality programs, and delivering significant value in complex and rapidly evolving environments. Responsibilities: Organizational Leadership & Transformation Lead, inspire, and develop multiple quality engineering teams and people leaders (managers/technical leads), fostering a culture of technical excellence, inclusion, and continuous learning. Define the multi-year vision and strategic roadmap for quality engineering across the advertising platform, aligned with company business and technology goals. Champion organizational transformation, driving the adoption of best-in-class practices, tools, and quality metrics at scale. Technical Thought Leadership Set the technical direction for large-scale test automation architecture, cloud-native solutions, and intelligent testing initiatives (AI/ML-driven testing, autonomous pipelines, etc.). Sponsor and guide the evolution of shared automation frameworks, tools, and platforms across product and engineering teams. Ensure timely resolution and prevention of high-severity outages through organizational postmortems, root cause analysis, and systemic improvements. Strategic Planning & Execution Develop, communicate, and execute the quality engineering strategy across multiple product groups, balancing innovation, risk, and operational needs. Oversee resource planning, hiring, and organizational design to ensure scaling and allocation of quality engineering talent to meet evolving business needs. Take ultimate responsibility for quality governance, compliance, and traceability across all product lines within your scope. Cross-Functional & Executive Partnership Build and maintain strong working relationships with senior leadership in engineering, product management, data science, product operations, and business teams. Articulate quality risks, trade-offs, and long-term strategies to executive stakeholders; provide regular reporting on quality metrics and organizational outcomes. Lead cross-functional initiatives to ensure test automation and quality engineering are embedded early and effectively throughout the development lifecycle. Minimum Qualifications: 10+ years of experience in software quality engineering, test automation, or software development, with 5+ years managing managers or leading multi-team organizations Proven track record of scaling and transforming quality engineering functions in complex, cloud-native, high-scale environments Demonstrated experience defining and driving organizational strategy, advocating for quality at the senior/executive level, and influencing business outcomes Expertise in modern test automation frameworks, CI/CD, and emerging trends in software quality Knowledge of software engineering practices and agile approaches Strong desire for establishing and improving product quality Advanced proficiency with Python or modern OO languages; experience with ad-tech or large-scale systems is a plus Willingness to take challenges head on while being part of a team Strong communication, stakeholder management, and mentoring skills Bachelor's degree, preferably in Computer Science or related field (or equivalent experience) The hiring range for this position in California is $171,600 - $230,100 per year and in New York is $179,700 - $241,000 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.

Role Location: This is an on-site role requiring 4 days in-person at designated office location. Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney 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. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems. Job Summary: The Production Platform Foundations team is a horizontal service team providing both tools and guidance across the organization for operations in AWS. We strive to act as a productivity multiplier, providing consulting and operational support to Application teams to help them drive their adoption of AWS services in conjunction with their existing infrastructure. We work closely with those groups to offer a 'cloud-native' perspective on application architecture, infrastructure, and deployment strategies. A Senior Software Engineer on the Cloud Account Management (CAM) team is a security-focused cloud engineer responsible for designing, building, and supporting automation and tooling initiatives that further enable secure, compliant, self-service ways of working for both the team and the developer base. In addition, this role will provide operational and technical guidance to Application Development (DevOps) teams that are utilizing the AWS environment at Disney Streaming. This position will report to the Engineering Manager and will interact with other Software Engineers in the Cloud Account Management (CAM) team What you'll be doing Write automation tools for your team and other internal teams to self-service, deploy, detect, alert, and mitigate in our AWS environments Build on AWS, including hands-on work with IAM, security policies, and cloud-native services Champion and execute best practices and security standards for operating in the cloud Troubleshoot and implement appropriate IAM permissions for user access and workloads running in AWS Provide guidance and recommendations to development teams on service design and deployments Own initiatives and contribute to future solution designs and planning Be a go-to technical resource on the team, spanning across levels and cross functional teams Monitor and work on inbound issues Qualifications: 5+ years of professional software engineering experience, or equivalent practical experience Strong Python development skills, you write production-quality code, not just scripts Experience with deployment and CI/CD tools - Terraform, GitHub Actions, Spinnaker, and Jenkins. Experience with platform engineering, primarily backend development using Python Experience developing APIs and designing database schemas Hands-on AWS Security/IAM administration and policy-creation experience for many users and workloads Familiarity with Docker and containerization concepts Experience with Unix/Linux systems Exhibit clear, succinct written and verbal communication with technical and non-technical stakeholders. Taking a practical, collaborative approach when working with engineers. Familiarity with operational troubleshooting tools and techniques Nice to have, but not required Experience leveraging AI as a productivity multiplier AWS Certifications Experience supporting DevOps teams in mid-to-large-sized organizations, especially in multitenant environments Familiarity with SSL Certificate management Familiarity with general and AWS-specific networking concepts, including VPC constructs, Firewalling, and DNS The hiring range for this position in Santa Monica, CA and Glendale, CA is $141,900 to $190,300 per year and in New York, NY and Seattle, WA is $148,700 to $199,400 per year and in San Francisco, CA is $155,400 to $208,400. 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.

Technology is at the heart of Disney's past, present, and future. Disney 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. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems. The Business Operations team helps guide and articulate technology strategy and research, and is responsible for driving the day-to-day operation of the Product & Technology organization, including: project and portfolio management and tracking; organization-level capital, space, and resource management and allocation; process management; technical incident management; and our administrative and workplace experience support team. As a member of a diverse and talented organization, the Senior Software Engineer crafts elegant and extensible tools, prototypes, and architectures for high-visibility and critical projects. The Business Operations team helps guide and articulate technology strategy and research and is responsible for driving the day-to-day operation of the Product & Technology organization, including: project and portfolio management and tracking; organization-level capital, space, and resource management and allocation; process management; technical incident management; and our administrative and workplace experience support team. This individual is responsible for direct technical contribution to projects within the team and assisting with ongoing investigations of technologies affecting Disney's industries. Experience in the fields of native application development, API integration, user experience design, version control, and continuous integration is desired. Responsibilities Design prototypes and tools supporting Disney Entertainment & ESPN Technology Responsible for researching best approaches and architectures to solve interesting and unique problems facing Disney's businesses. Identify elegant solutions to complex and unique problems Basic Qualifications: A bachelor's degree in computer science or related technical field 5+ years of experience in technical fields Hands-on experience with machine learning methods and techniques Experience building and maintaining production-grade software Experience leveraging AI-assisted development tools in a safe, responsible, and effective manner Experience with effective API integration and design Demonstrated ownership and responsibility of the development, implementation, and release of the software lifecycle Experience with defensive application design and understanding of cybersecurity best practices Excellent technical communication skills and attention to detail Curiosity and a desire to learn Preferred Qualifications: Experience with audio/video processing and analysis Experience with real-time updates and event-driven architectures Hands-on experience with AWS services like Kinesis, Dynamo, ElastiCache, Lambda, S3, ECS, Aurora, and Bedrock Experience with modern JavaScript/TypeScript development, including production use in back-end RESTful APIs and front-end web applications Experience with native mobile application development for iOS (Swift) and/or Android (Kotlin) Experience with infrastructure-as-code tools like Terraform and CloudFormation Experience with monitoring tools like CloudWatch and Datadog Workflow implementation centered on real-time updates and event-driven architectures The hiring range for this position in Seattle, WA is $148,700 to $199,400 per year and in Los Angeles, CA and Bristol, CT is $141,900 to $190,300 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.

The Disney Decision Science and Integration (DDSI) team leverages advanced technologies, data analytics, and scientific approaches such as optimization and statistical modeling to build innovative tools that shape business decisions across The Walt Disney Company. We support Disney Entertainment (ABC, The Walt Disney Studios, Disney+, Hulu), ESPN, Disney Experiences (Theme Parks, Cruise Line, Consumer Products, DVC), and Corporate Finance with strategic applications that enable data-driven decision-making. This team works in office. What You Will Do As the Ontology/Semantic Librarian, you will lead the design, development, and governance of enterprise ontologies, semantic layers, and knowledge graphs that serve as the intelligent backbone for a modern federated data platform. This role combines deep semantic modeling expertise with hands-on implementation of graph technologies, vector databases, and federated data architectures to accelerate business value delivery. This role will make key contributions to the Data Unification initiative by enabling rapid discovery and utilization of our vast data assets across the Disney enterprise. Design and build enterprise ontologies and semantic models that align business objectives with technical implementation, ensuring rapid enablement of business use cases such as unified reporting, AI agents, data marketplaces, and cross-functional insights. Lead the creation and maintenance of semantic layer graphs, knowledge graphs, and entity graphs, clearly distinguishing and leveraging the strengths of each approach. Develop and implement strategies for using vector databases and graph databases (e.g., Neo4j, Amazon Neptune, Qdrant, or similar) to enable powerful LLM-augmented search and reasoning over highly federated, heterogeneous data stores. Partner with data engineering, AI, and business teams to translate business goals into ontological models that drive measurable outcomes. Design and evolve the enterprise Data Catalog with rich semantic metadata, lineage, and governance capabilities. Contribute to the development of a unified data access layer that supports querying across Snowflake, Databricks, PostgreSQL, MongoDB, S3, Kafka, and other sources through a single semantic interface. Implement and enforce enterprise security models (RBAC/ABAC, column/row-level security, and dynamic masking) through the ontology and semantic layer. Collaborate on AI integration initiatives, including building ontology-driven agents, RAG pipelines, and agent-to-agent communication protocols. Establish ontology governance processes, versioning, and lifecycle management to ensure scalability and consistency across the enterprise. Contribute to the internal Data Marketplace by defining semantic data products with clear business value and consumption models. Mentor team members on semantic technologies and best practices for ontology-driven data architecture. Required Qualifications & Skills 7+ years of experience in data engineering, data architecture, semantic technologies, knowledge engineering, or related fields with a strong technical implementation background. Deep expertise in ontology modeling (OWL, RDF, SKOS, SHACL) and graph technologies. Strong understanding of the differences between semantic layer graphs, knowledge graphs, and entity graphs and when to apply each. Hands-on experience with graph databases (Neo4j, Neptune, etc.) and vector databases for semantic search and LLM integration. Proficiency in designing and implementing Data Catalogs and semantic metadata management solutions. Experience building solutions on top of federated data architectures involving relational (PostgreSQL, Snowflake), document (MongoDB), object (S3), and streaming (Kafka) systems. Demonstrated ability to translate complex business goals into ontological designs that accelerate delivery of business value. Strong programming skills, particularly Python, SPARQL, Cypher, GraphQL, and SQL. Experience with modern data platforms, cloud services (AWS preferred), and infrastructure-as-code practices. Solid understanding of data governance, security (RBAC/ABAC, dynamic masking), and compliance in enterprise environments. Excellent communication skills with the ability to bridge business stakeholders and technical teams. Desired Qualifications Experience building ontologies in large, complex enterprises (especially with media, entertainment, hospitality, or consumer-focused businesses). Hands-on experience with Generative AI, LLMs, RAG architectures, and agentic systems. Familiarity with data marketplace or data product platforms. Prior work with Apache Iceberg, Trino/Presto, or similar federated query engines. Knowledge of semantic web standards and tools (Protégé, TopBraid, Stardog, etc.). Background in formal knowledge representation, taxonomy development, or master data management. Required Education Bachelor's degree and/or equivalent work experience Preferred Education Bachelor's degree in Computer Science, Information Systems, Data Science, Philosophy (with logic focus), Linguistics, or a related technical field (or equivalent experience). Master's degree or PhD in a relevant field (Semantic Technologies, AI, Data Science, or Computer Science). The hiring range for this position in Lake Buena Vista, FL is $148,300 to $198,800 per year, in Burbank, CA is $155,700 to $208,700 per year, and New York, NY or Seattle, WA is $163,100 to $218,700 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.

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney 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. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality engineering, and the engineering behind personalization, commerce, lifecycle, and identity. Job Summary: The DEEP & Technology team is looking for a Software Development in Test Engineer to join our expanding quality engineering efforts supporting the Disney Media Player across clients and devices. As part of our mission to scale automation and enhance quality across our streaming platforms, this role will focus on building robust test automation frameworks and quality processes for media player verification across web, mobile, connected TV, and gaming console platforms. Your work will help ensure that the Disney Media Player delivers seamless, high-quality streaming experiences to millions of viewers. You'll ensure the integrity and performance of playback across diverse device platforms and network conditions. You'll help maintain reliable player behavior by catching integration and service-level issues early in the development cycle. When these systems work as intended, they drive better customer experiences, increase trust in our platform, and reduce costs associated with bugs in production. As an SDET, you will play a crucial role in strengthening test automation strategies, leading quality initiatives, and championing a culture of engineering excellence. This is a great opportunity to be part of a talented and collaborative team, with the autonomy to influence test architecture and the support to drive meaningful change. The ideal candidate is innovative, proactive, and thrives in dynamic, fast-paced environments. If you're excited by the opportunity to shape quality across core pillars of our business and want your work to be impactful and visible at all levels, we'd love to hear from you. Responsibilities include: Work closely with Software Engineers to understand the Disney Media Player and its cross-device ecosystem at DEEP&T Develop automated test frameworks and suites on UI, API and Integration levels of testing using JS/Node or other modern languages Participate in design discussions for our platform to help evolve the platform in a way that enables richer testing scenarios that simplify defect detection and prevention Assist with triage, diagnosis, and resolution of issues discovered across teams. Contribute to end-to-end acceptance tests Where necessary, develop and execute manual test cases to detect issues that cannot be detected through automated means Drive the conversion of manual tests to automated whenever possible Responsibilities and Duties of the Role: Part of product teams in building architectures which are robust, fault-tolerant, and cross-device. Builds solutions for problems of sizeable scope and complexity that have been successfully deployed to customers/users. Influences and drives software engineering best practices within the team Technically lead and deliver multiple projects utilizing an Agile methodology while reviewing team members code. Participates in developing technical and/or business approaches; and new/enhanced technical tools. Owns the design of software programs or systems within the team, and within the organization. Writes codes that establishes and enhances frameworks. Reviews code for the design, testability and clear usability. Builds solutions that scale and perform. Identifies opportunities to improve the system/product/services with each iteration. Required Education, Experience/Skills/Training: Minimum 3 years of hands-on software test development experience, including both functional and non-functional test development Passion around driving best practices in the testing space Solid experience with JS/Node, Python, or other modern OO languages Experience with or interest in test automation across multiple device platforms (smart TVs, set-top boxes, mobile, web, gaming consoles) Interest in streaming media concepts (playback quality, ABR, DRM, codec behavior) Experience building or improving test automation frameworks . Experience in CICD integration and pipeline development in Jenkins, Spinnaker or other similar tools. Experience in Gherkin ( BDD /TDD ) Strong communication skills and ability to collaborate effectively across engineering teams Bachelor's degree, preferably in Computer Science (or equivalent degree or work experience) The hiring range for this position in Morrisville, NC is $92,900 - $124,500 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.

Technology is at the heart of Disney's past, present, and future. Disney 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. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Job Summary: We are seeking a Manager, Software Engineering, focused on BI & Analytics to lead a high-performing, multidisciplinary team in building and maintaining the data pipelines, AI-powered data solutions, and custom analytics UIs and dashboards that are foundational to Disney's Ad Platforms. In this role, you'll manage both frontend and backend software & data engineering, ensuring that business and end-user needs are met with reliability, scalability, and outstanding UI/UX design. The ideal candidate will be both a technical leader and a people manager with deep expertise in software, data engineering and platform strategy. Responsibilities and Duties of the Role: Instill a culture grounded in engineering best practices such as code quality, documentation, automation, and continuous improvement Ensure engineering principles are consistently applied across projects and teams Manage, mentor, and grow a team of high-performing software and data engineers, fostering a collaborative and innovative culture such as code quality, documentation, automation, and continuous improvement Coordinate with Product Management to align engineering roadmaps with product initiatives and timelines Partner with Program Managers to drive planning, prioritization, and delivery of cross-functional efforts Collaborate with QA leadership to build data quality processes and end-to-end validation such as code quality, documentation, automation, and continuous improvement Ensure engineering principles are consistently applied across projects and teams Lead and grow a high-performing team of software and data engineers working on mission-critical data products Set engineering roadmaps, delivery timelines, and platform-level initiatives Drive adoption of best-in-class tools and practices for data governance, lineage, observability, and cost optimization Provide technical guidance and career development for the team Collaborate with senior leadership to define data strategy and long-term architecture vision Manage capacity planning, resource allocation, and performance reviews Lead vendor/tool evaluations and oversee key integration efforts Partner with BI and analytics leads to ensure consistent, reliable data is delivered across the enterprise Spearhead the implementation of custom dashboards and analytics UIs, leveraging modern web frameworks (React, Angular, Vue, etc.), advanced data visualization, and design system best practices. Rapidly prototype UI components tailored to stakeholder/business requirements, ensuring high standards for usability, accessibility, and visual polish. Drive the integration of AI/ML solutions into both backend pipelines and analytics products; champion the use of AI-powered software development processes and robust, end-to-end SDLC practices. Required Education, Experience/Skills/Training: Required Qualifications Languages: Scala, Python, SQL, JavaScript Data Processing: Apache Spark, Flink, Airflow Platforms & Tools: Databricks, Hive, Presto, Snowflake Cloud: AWS (S3, EMR, Glue, Lambda) Minimum of 8 years of relevant software engineering, data engineering or data science - preferably with a digital media or digital advertising company Experience delivering products in an agile software development environment including sprint work in Jira Excellent interpersonal skills with the ability to collaborate and partner across multiple teams and organizations Strong SQL experience including writing/optimizing complex queries against distributed data stores such as Aurora, Hadoop, Hive, Oracle, and Snowflake Experience with data pipeline and workflow management tools: Apache NiFi or Apache Airflow Expert level knowledge in at least one programming language such as Python, R, Scala, Java. Demonstrated experience working with business intelligence tools such as MicroStrategy, Tableau, Business Objects, Looker, etc. Strong experience building and deploying dashboards and UIs with frameworks such as React, Angular, or Vue. Demonstrated ability to quickly prototype and implement custom UI components to meet evolving business/stakeholder specs. Familiarity with AI-powered solution development and integrating machine learning into production data/analytics environments. Strong software development life cycle (SDLC) management experience, including source control, CI/CD, and agile workflows (Jira). Demonstrated ability to effectively communicate complex concepts to technical and unacquainted audiences Experience in working with large datasets (Terabytes or more) Strong presentation and documentation skills including experience working with Confluence, Power Point, and Lucid Chart Strong analytical and critical thinking skills Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team Preferred Qualifications Experience designing, building and supporting Business Intelligence (BI) data platforms, dashboards, and reporting environments Experience in Ad Tech, particularly Linear or Addressable Advertising Experience with digital advertising systems and ecosystems Experience using data analytics to triage and troubleshoot advertising workflows Experience with network topologies, systems architecture overviews, and entity relationship diagrams (ERD) Experience with rapid prototyping and agile delivery of analytics products. Required Education Bachelor's degree in computer science, or related technical fields, or equivalent experience Additional Information: Engineers are expected to be in the office four days a week. This role is hiring in Glendale, CA The hiring range for this position in Los Angeles, CA is between $171,600 - $230,100, Seattle, WA is between $179,700 - $241,000 and San Francisco, CA is between $187,900 - $252,000. 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.

Technology is at the heart of Disney's past, present, and future. Disney 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. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. The research/AI team is the dedicated AI/ML and data science arm of the Ad Platform organization. Its mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance ad decisioning, forecasting, experimentation and ad experience. We are seeking a Lead Data Scientist to join this innovative team. This role is a critical leadership opportunity for a seasoned data science professional who thrives at the intersection of advanced analytics, machine learning, and business strategy. As a Lead Data Scientist, you will spearhead ML and data science initiatives that shape the future of advertising technology. You will support generative AI production development through rigorous evaluation and data generation pipelines. You will be responsible for designing and executing ML and data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization, as well leading evaluation and optimization of generative AI mixed media advertisement creation and enhancement technologies. WHAT YOU'LL DO Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising serving, including inventory forecasting, ad experience, ad pacing, pricing, targeting, advertising creation and enhancement, and efficient ad delivery. Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround. Develop rigorous evaluation pipelines for generative AI technologies, including visual generations (image, video) and/or LLM-based agentic generations. Define and evaluate key metrics in various product areas. Partner closely with generative AI specialists to support the creation of datasets for generative AI modeling applications. Develop Standard Operating Procedures for human-driven evaluations or labeling. Deliver data insights and provide data-driven recommendations to cross-team stakeholders. Design and analyze A/B tests for machine learning algorithm iterations. Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment. Mentor team members and support their technical growth. WHAT TO BRING Bachelor's in computer science, statistics or equivalent experience At least 7 years of relevant industry experience in data science at leading internet or creative technology companies. Experience in the advertising domain is a strong bonus. Experience creating ML datasets and rigorous dataset labeling or evaluation processes for models. Strong interest to learn about generative mixed media, generative video, and diffusion-based technology. Solid knowledge of data science and statistics. Strong communication skills and business acumen. Proficient in SQL, Python, Java, or R. Familiar with Tableau, and/or other visualization tools. Experience designing and building machine learning models. Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness. Interested in supporting rapid prototyping, generative AI, and creative technologies, including applications to advertisement creation and enhancement. Experienced building data-driven services and applications for production. A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required. NICE-TO-HAVES MS or PhD in computer science, statistics or equivalent experience Experience in digital video advertising or digital marketing domain Experience in production-grade development, rapid prototyping, or generative AI related research using LLMs, generative imagery or video, or agentic flows. Otherwise a strong interest to learn. Experience with Airflow, data warehouse, Databricks or Sagemaker. The hiring range for this position in Los Angeles, CA area is $155,700 - $208,700 per year and Seattle Area is $163,100 - $218,700. 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.

At Disney, we're storytellers. We make the impossible, possible. The Walt Disney Company (TWDC) is a world-class entertainment and technological leader. Walt's passion was to continuously envision new ways to move audiences around the world-a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences - and we're constantly looking for new ways to enhance these exciting experiences. This role sits within the Technology & Digital organization for Disney Experiences and collaborates closely with cross-functional teams across the company. The Lead Software Engineer will report to the Sr Manager, Technology. About the Role & Team We are seeking a visionary Lead Software Engineer to drive the development of scalable, intelligent systems that support licensing financial operations and AI-driven decision-making. This role will be instrumental in shaping the architecture and delivery of next-generation platforms that power financial licensing workflows and predictive analytics. What You'll Do Lead the design, development, and deployment of software solutions for licensing financial systems and AI-powered applications. Architect and implement scalable services that integrate with internal and third-party financial platforms. Collaborate with product, finance, and data science teams to define system requirements and deliver intelligent automation. Apply machine learning and AI techniques to optimize licensing workflows, forecasting, and compliance monitoring. Own the full software development lifecycle, including analysis, design, coding, testing, debugging, and documentation. Mentor junior engineers and foster a culture of innovation, inclusion, and technical excellence. Stay current with emerging technologies in AI, financial systems, and cloud-native development to inform strategic decisions. Required Qualifications & Skills: 7+ years of software engineering experience, including leadership of complex projects. Proven experience with financial systems, licensing workflows, or royalty management platforms. Hands-on expertise of developing and deploying custom AI solutions using LLMs to automate business processes or improve business outcomes in enterprise environments . Excellent programming skills in languages such as Java and Python. Experience with cloud platforms (AWS,GCP) and container orchestration (e.g., Kubernetes). Agile development experience and familiarity with CI/CD pipelines. Excellent communication and stakeholder engagement skills. Preferred Qualifications Experience with licensing systems in media, entertainment, or digital content industries. Familiarity with financial compliance standards and audit processes. Education Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience). Master's degree in Technology is a plus. The hiring range for this position in Glendale California is $150,000-$180,000 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.

Role Location: This is an on-site role requiring 4 days in-person at designated office location. Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney 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. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Job Summary: Our team designs and builds models that directly shape the user experience - powering personalization and engagement across our Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. With a strong product mindset and a focus on usability, we ensure every ML-driven product enhances how users discover, interact, and enjoy our experiences. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes. This is an Individual Contributor role. You will be expected to lead recommendation and personalization algorithm research, development, and productionization for product areas, and to coordinate requirements and manage stakeholder expectations with Product, Engineering, and Editorial teams. As an IC, you will also be responsible for helping to set the roadmap for algorithmic work - not only for how to approach product requests for new recommendation features, but for helping to drive larger company objectives in the areas of personalization and recommendations. Responsibilities and Duties of the Role: Algorithm Development and Maintenance: Utilize cutting edge machine learning methods to develop algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets Development Best Practices: Maintain existing and establish new algorithm development, testing, and deployment standards Collaborate with product and business stakeholders: Identify and define new personalization opportunities and work with other data teams to improve how we do data collection, experimentation and analysis Required Education, Experience/Skills/Training: Basic Qualifications 5+ years of experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience 5+ years writing production-level, scalable code (Python, SQL) 3+ years of experience developing algorithms for deployment to production systems In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings Experience deploying and maintaining pipelines and in engineering big-data solutions using technologies like Databricks, S3, and Spark Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriate Strong written and verbal communication skills Preferred Qualifications MS or PhD in statistics, math, computer science, or related quantitative field Production experience with developing content recommendation algorithms at scale Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment Familiar with metadata management, data lineage, and principles of data governance Experience loading and querying cloud-hosted databases Experience with: AWS, Databricks Required Education Bachelor's Degree in Computer Science, Math, Statistics, or related quantitative field The hiring range for this position in New York, NY is $148,700 - $199,400 per year and in Santa Monica, CA is $141,900 - $190,300. 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.

Role Location: This is an on-site role requiring 4 days in-person at designated office location. Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney 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. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. The individual in this position will join the Data Stores team in an exciting and fast-paced environment where they will help build and maintain highly available relational database systems operating across multiple cloud and on-premise environments. These databases support many of the systems powering DEEP&T's digital media supply chain and consumer facing products. Job Summary: Join DEEP&T as a Senior Reliability Engineer, where you will analyze, design, program, debug, and modify software enhancements and new products for use in local, networked, cloud-based, or Internet-related computer programs. This role delivers large or highly complex software programs and systems that are critical to the organization's technology platforms and commercial applications. By leveraging in-depth knowledge of current programming languages and technologies, the Senior Reliability Engineer will write code, complete programming tasks, and perform testing and debugging of applications. The individual will interact with users to define system requirements and necessary modifications, conceive and implement software components, fixes, enhancements, and new systems. Their work directly impacts the organization by driving improvements in product quality, operational efficiency, and technical innovation, influencing future projects and technical direction We're looking for an individual who can apply software engineering principles to database engineering and administration to build processes and automation to help deliver infrastructure faster, safer, more consistently, and with the right level of observability required to operate at scale. Responsibilities and Duties of the Role: Responsible for building, deploying, and ensuring all DEEP&T database infrastructure is available 24/7/365. Leverage software development and automation to design, modernize, and deliver database infrastructure. Participates in setting the architectural direction for database platforms and projects. Manage multiple competing priorities in a fast-paced, deadline-oriented environment. Analyze, design, and deploy fault-tolerant, distributed, and highly available database infrastructure. Proactively plan and implement infrastructure changes through capacity forecasting, software release cycles, and right sizing. Provide database expertise through performance tuning, troubleshooting and administration. Develop, enhance, and adhere to engineering and administration standards. Develop automation and tooling to increase operational efficiency while ensuring system reliability and security. Build infrastructure and systems for scalability, resiliency, availability, and recovery though infrastructure as code and configuration management. Provide relevant insights of data store infrastructure through metrics, monitoring, and alerting. Maintain thorough and well-written documentation. Participate in live event support and on-call rotation. May provide oversight and direction to junior team members. Builds relationships with engineering teams and leads. Required Education, Experience/Skills/Training: Basic Experience Bachelor's degree, preferably in computer science, Engineering, or related field (or equivalent experience). 5+ years of related work experience with Microsoft SQL Server, Amazon RDS for SQL Server, Azure SQL, and Azure SQL MI. Fundamental understanding of Microsoft SQL Server database internals. Experience working in Agile software development. Experience with source control management tools (Git, GitLab, GitHub). Intermediate to advanced level of expertise in one or more programming languages such as Python, Java, or Go. General understanding and experience with Windows operating system, network, and containers. Excellent verbal and written communication skills. Experience designing and deploying fault-tolerant, distributed, and highly available database infrastructure. Experience in database availability monitoring and status reporting using native monitoring tools. Well-versed in SQL Server backup, restore, and recovery strategies. Experience keeping a large environment compliant by deploying SQL Server patches and upgrades. Experience with disaster recovery planning and implementation. Carries out assignments with little coaching or guidance from others. Preferred Experience Experience operating within a database reliability engineering (DRE) and/or systems reliability engineering (SRE) role. Experience running, deploying, and maintaining production systems in Azure and Amazon Web Services. Experience with infrastructure as code (Terraform, CloudFormation). Experience building a proper path to production leveraging multiple lifecycles, testing, integration, and CI/CD pipelines. Experience with the configuration and implementation of SQL Server Always On availability groups. Experience with configuration management (Ansible, Chef). Comfortable collaborating with cross-functional teams providing guidance in SQL Server best practices. Experience with proactively identifying problems/areas of improvement and designing creative solutions to successfully remediate issues. The hiring range for this position in Bristol, CT is $141,900 to $190,300 and in New York is 148,700 to $199,400$ 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.

Technology is at the heart of Disney's past, present, and future. Disney 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. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Technology is at the heart of Disney's past, present, and future. Disney 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. Job Summary: The Ad Serving Engineering organization within Disney Entertainment and the ESPN organization is responsible for building, enhancing, and maintaining the high-performance, distributed, microservice-based Digital Advertising Platform. The platform is charged with the qualification, delivery, and tracking of Digital Advertising campaigns (Video on Demand, Live TV, and innovative interactive ads) across all of Disney online properties, including Hulu, Disney+, and ESPN+. In addition, Ad Serving teams collaborate in the development of supporting components, such as anti-ad fatigue systems, impression counting pipelines, and ad experience flows. We also work on integrations with critical services responsible for the entitlements, correct pacing, targeting, selection of ads, and third-party systems. As part of the Decisioning Fleet, you will directly contribute to optimizing ad qualification and selection to make sure viewers always see the right ad at the right time. You will also help build tools that analyze what ads are competing for slots for ad breaks across Hulu, Disney+, ESPN, and others. As a Senior Full Stack Software Engineer (P3) on our team, you'll leverage your technical expertise to design and deliver scalable, performant, and maintainable solutions that directly impact the stability and quality of Disney's ad delivery systems. Daily, you should bring: A willingness and desire to effectively communicate and collaborate across teams and systems. An understanding of the importance of project ownership. A passion for mentoring, learning, and adapting to a very dynamic and fast-paced environment. An understanding of micro-service encapsulation and loose coupling, and why they are important. An understanding of how to define technical and operational metrics to measure system health and to manage risk. Use AI tools responsibly to improve productivity while adhering to company policies. Kindness and pragmatic optimism. Responsibilities: Design, implement, and test solutions for high-throughput, low-latency microservices. Enhance observability with metrics, monitoring, and alerting. Translate product requirements into actionable engineering tasks. Take ownership of one or more of the team's domain areas. Integrate AI-assisted development practices into daily workflows. Participate in On-Call rotations per team escalation policy. Basic Qualifications: BS or MS in Computer Science / Engineering or relevant work experience. 5+ years of software engineering experience. Proficiency with Java. Experience with ReactJS or similar frontend frameworks, with the ability to quickly pick up new technologies. Demonstrable analytical / problem-solving skills. Great communication, collaboration skills, and a strong teamwork ethic with both technical and non-technical audiences. Preferred Qualifications: Experience with: SpringBoot and related Spring projects. Modern frontend development practices Non-relational database technologies like DynamoDB. Caching datastores such as Redis, ValKey or MemCache. Data Streaming Mechanisms such as Apache Kafka and/or Kinesis. Cloud platforms such as AWS. Modern DevOps tools such as Terraform, Docker, and Kubernetes. Familiarity with AI productivity tools and their application in software development. Domain knowledge in Ad Tech. Additional Information: Engineers are expected to be in the office four days a week. This role is hiring in San Francisco, Santa Monica, Glendale, or Seattle The hiring range for this position in Los Angeles, California is $141,900 to 190,300 per year, Seattle, WA is $148,700 to $199,400, and San Francisco, CA is $155,400 to $208,400 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.

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney 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. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality engineering, and the engineering behind personalization, commerce, lifecycle, and identity. Job Summary: The DEEP & Technology team is seeking a visionary Principal Software Development Engineer in Test (SDET) to spearhead quality engineering across our streaming, data and advertising systems. As a trusted engineering leader and technical authority, you will set the strategic direction for automation, quality practices, and test architectures organization-wide. You will partner cross-functionally to align quality strategy with company objectives, lead innovation in automated testing processes, and ensure our systems robustly deliver relevant and reliable products to all viewers. Your decisions and leadership will have a substantial impact on revenue, user experience, and operational efficiency. Ideal candidates are highly proactive, influential, and passionate about transforming quality engineering through cutting-edge technology and thought leadership. Responsibilities: Strategic Quality Leadership Define and drive the vision, strategy, and roadmap for test automation and quality engineering across multiple business units and product lines. Influence organizational decisions regarding test architecture, process improvements, and adoption of modern testing paradigms (shift-left, CI/CD, observability, etc.). Establish and maintain enterprise-wide standards for quality, automation, and operational excellence in collaboration with executive stakeholders. Own the end-to-end quality strategy for large-scale, business-critical projects, including test metrics, release criteria, and automation objectives. Architecture & Technical Authority Lead the architecture of scalable, resilient, and cloud-native test automation solutions that empower teams and improve defect prevention. Make high-impact technical decisions on frameworks, toolsets, and integrations to enable richer and more effective testing. Oversee technical reviews, mentorship, and hands-on guidance in complex areas such as distributed systems, data pipelines, and ad technologies. Partner with Platform Architects and DevOps to ensure seamless integration of quality gates and automated validation throughout deployment pipelines Cross-Functional Influence & Mentorship Serve as a coaching resource to SDETs, engineers, and leadership, regularly conducting technical deep-dives, training, and knowledge-sharing sessions. Build consensus across product teams for standardization of test tools, frameworks, and reusable components. Facilitate root cause analysis for high-severity incidents, drive preventative and corrective actions, and communicate technical findings to senior leadership. Represent DEEP & Technology quality interests within company-wide engineering and business forums. Program Management & Delivery Excellence Lead delivery of multiple concurrent, cross-team testing initiatives in fast-paced Agile environments. Manage test budgets, resource allocation, roadmap goals, and risk mitigation strategies across programs. Ensure rigorous governance over traceability, compliance, and test reporting, supporting company-wide accountability. Continuously identify bottlenecks and drive organization-wide solutions to improve efficiency, coverage, and reliability. Innovation & Continuous Improvement Champion research and adoption of emerging technologies (AI/ML in testing, autonomous testing, advanced observability, etc.) to keep test practices ahead of industry standards. Define and track advanced quality metrics (escape rates, flakiness, system reliability), implementing data-driven improvements. Lead efforts to mature organization's quality posture in performance, security, and reliability engineering. Inspire a culture of innovation, experiment with new tools and practices, and help set the direction for the future of engineering quality. Minimum Qualifications: Minimum of 10 years experience in quality engineering, automation, or software development, with recent leadership responsibilities in large, complex engineering environments Passion around driving best practices in the testing space Knowledge of software engineering practices and agile approaches Strong desire for establishing and improving product quality Proven expertise architecting and scaling test automation for distributed, cloud-native systems Track record of influencing enterprise strategy and leading transformation initiatives Advanced proficiency with Python or modern OO languages; experience with ad-tech or large-scale systems is a plus Willingness to take challenges head on while being part of a team Strong communication, stakeholder management, and mentoring skills Bachelor's degree, preferably in Computer Science or related field (or equivalent work experience) The hiring range for this position in California is $171,600 - $230,100 per year and in New York is $179,700 - $241,000 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.

Technology is at the heart of Disney's past, present, and future. Disney 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. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Job Summary: We are seeking a Manager, Software Engineering, focused on BI & Analytics to lead a high-performing, multidisciplinary team in building and maintaining the data pipelines, AI-powered data solutions, and custom analytics UIs and dashboards that are foundational to Disney's Ad Platforms. In this role, you'll manage both frontend and backend software & data engineering, ensuring that business and end-user needs are met with reliability, scalability, and outstanding UI/UX design. The ideal candidate will be both a technical leader and a people manager with deep expertise in software, data engineering and platform strategy. Responsibilities and Duties of the Role: Instill a culture grounded in engineering best practices such as code quality, documentation, automation, and continuous improvement Ensure engineering principles are consistently applied across projects and teams Manage, mentor, and grow a team of high-performing software and data engineers, fostering a collaborative and innovative culture such as code quality, documentation, automation, and continuous improvement Coordinate with Product Management to align engineering roadmaps with product initiatives and timelines Partner with Program Managers to drive planning, prioritization, and delivery of cross-functional efforts Collaborate with QA leadership to build data quality processes and end-to-end validation such as code quality, documentation, automation, and continuous improvement Ensure engineering principles are consistently applied across projects and teams Lead and grow a high-performing team of software and data engineers working on mission-critical data products Set engineering roadmaps, delivery timelines, and platform-level initiatives Drive adoption of best-in-class tools and practices for data governance, lineage, observability, and cost optimization Provide technical guidance and career development for the team Collaborate with senior leadership to define data strategy and long-term architecture vision Manage capacity planning, resource allocation, and performance reviews Lead vendor/tool evaluations and oversee key integration efforts Partner with BI and analytics leads to ensure consistent, reliable data is delivered across the enterprise Spearhead the implementation of custom dashboards and analytics UIs, leveraging modern web frameworks (React, Angular, Vue, etc.), advanced data visualization, and design system best practices. Rapidly prototype UI components tailored to stakeholder/business requirements, ensuring high standards for usability, accessibility, and visual polish. Drive the integration of AI/ML solutions into both backend pipelines and analytics products; champion the use of AI-powered software development processes and robust, end-to-end SDLC practices. Required Education, Experience/Skills/Training: Required Qualifications Languages: Scala, Python, SQL, JavaScript Data Processing: Apache Spark, Flink, Airflow Platforms & Tools: Databricks, Hive, Presto, Snowflake Cloud: AWS (S3, EMR, Glue, Lambda) Minimum of 8 years of relevant software engineering, data engineering or data science - preferably with a digital media or digital advertising company Experience delivering products in an agile software development environment including sprint work in Jira Excellent interpersonal skills with the ability to collaborate and partner across multiple teams and organizations Strong SQL experience including writing/optimizing complex queries against distributed data stores such as Aurora, Hadoop, Hive, Oracle, and Snowflake Experience with data pipeline and workflow management tools: Apache NiFi or Apache Airflow Expert level knowledge in at least one programming language such as Python, R, Scala, Java. Demonstrated experience working with business intelligence tools such as MicroStrategy, Tableau, Business Objects, Looker, etc. Strong experience building and deploying dashboards and UIs with frameworks such as React, Angular, or Vue. Demonstrated ability to quickly prototype and implement custom UI components to meet evolving business/stakeholder specs. Familiarity with AI-powered solution development and integrating machine learning into production data/analytics environments. Strong software development life cycle (SDLC) management experience, including source control, CI/CD, and agile workflows (Jira). Demonstrated ability to effectively communicate complex concepts to technical and unacquainted audiences Experience in working with large datasets (Terabytes or more) Strong presentation and documentation skills including experience working with Confluence, Power Point, and Lucid Chart Strong analytical and critical thinking skills Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team Preferred Qualifications Experience designing, building and supporting Business Intelligence (BI) data platforms, dashboards, and reporting environments Experience in Ad Tech, particularly Linear or Addressable Advertising Experience with digital advertising systems and ecosystems Experience using data analytics to triage and troubleshoot advertising workflows Experience with network topologies, systems architecture overviews, and entity relationship diagrams (ERD) Experience with rapid prototyping and agile delivery of analytics products. Required Education Bachelor's degree in computer science, or related technical fields, or equivalent experience Additional Information: Engineers are expected to be in the office four days a week. This role is hiring in Glendale, CA The hiring range for this position in Los Angeles, CA is between $171,600 - $230,100, Seattle, WA is between $179,700 - $241,000 and San Francisco, CA is between $187,900 - $252,000. 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.

Role Location: This is an on-site role requiring 4 days in-person at designated office location. Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney 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. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. The individual in this position will join the Data Stores team in an exciting and fast-paced environment where they will help build and maintain highly available relational database systems operating across multiple cloud and on-premise environments. These databases support many of the systems powering DEEP&T's digital media supply chain and consumer facing products. Job Summary: Join DEEP&T as a Senior Reliability Engineer, where you will analyze, design, program, debug, and modify software enhancements and new products for use in local, networked, cloud-based, or Internet-related computer programs. This role delivers large or highly complex software programs and systems that are critical to the organization's technology platforms and commercial applications. By leveraging in-depth knowledge of current programming languages and technologies, the Senior Reliability Engineer will write code, complete programming tasks, and perform testing and debugging of applications. The individual will interact with users to define system requirements and necessary modifications, conceive and implement software components, fixes, enhancements, and new systems. Their work directly impacts the organization by driving improvements in product quality, operational efficiency, and technical innovation, influencing future projects and technical direction We're looking for an individual who can apply software engineering principles to database engineering and administration to build processes and automation to help deliver infrastructure faster, safer, more consistently, and with the right level of observability required to operate at scale. Responsibilities and Duties of the Role: Responsible for building, deploying, and ensuring all DEEP&T database infrastructure is available 24/7/365. Leverage software development and automation to design, modernize, and deliver database infrastructure. Participates in setting the architectural direction for database platforms and projects. Manage multiple competing priorities in a fast-paced, deadline-oriented environment. Analyze, design, and deploy fault-tolerant, distributed, and highly available database infrastructure. Proactively plan and implement infrastructure changes through capacity forecasting, software release cycles, and right sizing. Provide database expertise through performance tuning, troubleshooting and administration. Develop, enhance, and adhere to engineering and administration standards. Develop automation and tooling to increase operational efficiency while ensuring system reliability and security. Build infrastructure and systems for scalability, resiliency, availability, and recovery though infrastructure as code and configuration management. Provide relevant insights of data store infrastructure through metrics, monitoring, and alerting. Maintain thorough and well-written documentation. Participate in live event support and on-call rotation. May provide oversight and direction to junior team members. Builds relationships with engineering teams and leads. Required Education, Experience/Skills/Training: Basic Experience Bachelor's degree, preferably in computer science, Engineering, or related field (or equivalent experience). 5+ years of related work experience with Microsoft SQL Server, Amazon RDS for SQL Server, Azure SQL, and Azure SQL MI. Fundamental understanding of Microsoft SQL Server database internals. Experience working in Agile software development. Experience with source control management tools (Git, GitLab, GitHub). Intermediate to advanced level of expertise in one or more programming languages such as Python, Java, or Go. General understanding and experience with Windows operating system, network, and containers. Excellent verbal and written communication skills. Experience designing and deploying fault-tolerant, distributed, and highly available database infrastructure. Experience in database availability monitoring and status reporting using native monitoring tools. Well-versed in SQL Server backup, restore, and recovery strategies. Experience keeping a large environment compliant by deploying SQL Server patches and upgrades. Experience with disaster recovery planning and implementation. Carries out assignments with little coaching or guidance from others. Preferred Experience Experience operating within a database reliability engineering (DRE) and/or systems reliability engineering (SRE) role. Experience running, deploying, and maintaining production systems in Azure and Amazon Web Services. Experience with infrastructure as code (Terraform, CloudFormation). Experience building a proper path to production leveraging multiple lifecycles, testing, integration, and CI/CD pipelines. Experience with the configuration and implementation of SQL Server Always On availability groups. Experience with configuration management (Ansible, Chef). Comfortable collaborating with cross-functional teams providing guidance in SQL Server best practices. Experience with proactively identifying problems/areas of improvement and designing creative solutions to successfully remediate issues. The hiring range for this position in Bristol, CT is $141,900 to $190,300 and in New York is 148,700 to $199,400$ 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.

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney 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. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Job Summary: We're looking for a Lead Software Engineer to join our Data Foundation Platform team. We build and provide cloud platform and services that are used by data engineering teams and data scientists across Disney Entertainment and ESPN Technology, particularly in processing data related to our streaming and web-based businesses (e.g., data from Disney+, Hulu, ESPN, etc.). We are looking for a rockstar engineer with experience building AI tools and services that help build the knowledge graph and the AI intelligence layer for a suite of disney products. The successful candidate will have a passion for technology and solid coding skills. Knowledge of specific technologies may be helpful but is less important than an ability to learn quickly. We value team members who aren't afraid to dive deep when required, think for themselves, and have great communication and teamwork skills. Responsibilities and Duties of the Role: Contribute to maintaining, updating, and expanding existing AI intelligence layer encompassing Snowflake Cortex, AWS Bedrock Good understanding of knowledge management and semantic search with experience in Graph databases and Open Search Architect, design, and code shared libraries that abstract complex business logic to allow consistent functionality across all data pipelines in the Data organization. Collaborate with product managers, architects, and other engineers to drive the success of the Data&AI strategy. Contribute to developing and documenting both internal and external standards and best practices for configurations, naming conventions, partitioning strategies, and more. Ensure high operational efficiency and quality of the AI projects. Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our team. Engage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental platform improvements. Maintain detailed documentation of your work and changes to support data quality and data governance requirements. Basic Qualifications 7+ years software engineering experience in developing large projects Strong algorithmic problem-solving expertise Strong fundamental programming skills in python with knowledge of ML libraries Proficient in AWS Bedrock, Snowflake Cortex, Databricks Genie. Proficient in Data Engineering technologies like Airflow, Spark, Databricks, Snowflake Strong scripting language experience Preferred Qualifications Passion to explore new technology and participate in proof of concepts. Enjoy new and meaningful technology or business challenges which require you to think and respond quickly. Passionate to automation, data, technology, & creative innovation. Prior experience building internet scale platforms. It would be awesome if you have a robust portfolio on GitHub and / or open-source contributions you are proud to share Required Education Bachelor's or master's degree in Computer Science or related discipline or its equivalent The hiring range for this position in Los Angeles, California is $155,700 to $208,700 per year, Seattle, WA is $163,100 to $218,700, and San Francisco, CA is $170,500 to $228,600 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.

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney 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. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Job Summary: The Data Product team is seeking a Principal, Data Product Management to own the strategy and long-term vision for a critical suite of data collection solutions across a global portfolio of digital products, defining the future of data collection as an enterprise capability. The collection layer sets the quality and reliability of every downstream analytics output, every experiment, and every model that depends on it across Disney Entertainment & ESPN. Decisions here carry portfolio-wide consequences, and making them well takes dedicated Principal-level ownership. You'll own the product roadmap spanning the solutions we run with longstanding strategic partners and the capabilities we build and scale ourselves, delivering world-class data collection across web, mobile, and connected devices. You'll serve as the product counterpart to the Data Engineering and Product Engineering teams who build and maintain the platform, and lead cross-organizational initiatives. Equally important, you'll define what data collection at Disney needs to become, not just how to evolve what exists today. If you've operated at the domain level in ambiguous, precedent-free environments, driven architectural decisions at enterprise scale, and built the organizational confidence to make long-term platform bets, we'd like to hear from you. Responsibilities and Duties of the Role: Own the long-term strategy and vision for data collection, across partner-run solutions and the platforms we build ourselves. Continuously evaluate the market and make principled build-vs-buy calls as the technology shifts. Be the product counterpart to Data Engineering on roadmap, sequencing, and tradeoffs, staying hands-on. Lead and influence across the org without formal authority, resolving high-stakes conflicts and informing durable, long-term decisions. Support data quality and the operating model at the source, keeping collected data reliable and auditable. Identify the highest-leverage problems before they're defined and deliver where no established approach exists. Translate requirements into scalable platform capabilities: schemas, standards, and contracts, increasingly AI-assisted. Mentor PMs across Data Product and partner teams, raising the bar for sophistication and AI-assisted ways of working. Required Education, Experience/Skills/Training: Basic Qualifications 10+ years in Data Platform Product Management, Data Instrumentation, or a closely related technical product discipline. Domain- or portfolio-level outcome ownership at enterprise scale; feature-level data-platform PM experience is not sufficient for this role. Platform or infrastructure product strategy driven in close partnership with Engineering, hands-on in architecture and schema design. Hands-on production experience with data collection platforms (tag management, web data-layer, CDP-style), and the judgment to evaluate and choose between them. Experience defining enterprise data contracts, schema registries, and governance standards in multi-producer, multi-consumer environments. A track record of building new structures or capabilities in high-ambiguity, precedent-free environments, not just enduring them. Proven ability to influence roadmap and investment decisions without direct authority across multiple organizations. Experience mentoring multiple PMs across teams, with demonstrated impact on their judgment or trajectory. Fluency with AI tools in your own work, and a track record of raising that bar across the PMs you influence. Familiarity with the modern cloud data stack and how collection quality and schema choices affect downstream analytics, ML, and BI. Proficiency in SQL and/or Python for data validation, schema verification, and troubleshooting. Executive-level communicator, equally clear with engineers and senior leaders, who resolves disagreements through reasoning, not rank. Preferred Qualifications Data observability experience: monitoring pipelines for quality, freshness, schema drift, and anomalies. Experience evaluating or leading enterprise technology transitions: build-vs-buy, platform migration, and the change management involved. Familiarity with downstream ML and AI data requirements: what makes collected data usable as training signal or feature input. Strong grasp of data governance, privacy, and consent (GDPR, CCPA) and how regulation shapes collection architecture. Advanced degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent practical experience. Required Education Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field, or equivalent practical experience. The hiring range for this position in New York City, NY is $197,400 - $264,700 per year, in San Francisco, CA is $206,400 - $276,700 per year, and in Santa Monica, CA and Bristol, CT is $188,400 - $252,600 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.

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney 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. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality engineering, and the engineering behind personalization, commerce, lifecycle, and identity. Job Summary: The DEEP & Technology team is seeking a visionary Principal Software Development Engineer in Test (SDET) to spearhead quality engineering across our streaming, data and advertising systems. As a trusted engineering leader and technical authority, you will set the strategic direction for automation, quality practices, and test architectures organization-wide. You will partner cross-functionally to align quality strategy with company objectives, lead innovation in automated testing processes, and ensure our systems robustly deliver relevant and reliable products to all viewers. Your decisions and leadership will have a substantial impact on revenue, user experience, and operational efficiency. Ideal candidates are highly proactive, influential, and passionate about transforming quality engineering through cutting-edge technology and thought leadership. Responsibilities: Strategic Quality Leadership Define and drive the vision, strategy, and roadmap for test automation and quality engineering across multiple business units and product lines. Influence organizational decisions regarding test architecture, process improvements, and adoption of modern testing paradigms (shift-left, CI/CD, observability, etc.). Establish and maintain enterprise-wide standards for quality, automation, and operational excellence in collaboration with executive stakeholders. Own the end-to-end quality strategy for large-scale, business-critical projects, including test metrics, release criteria, and automation objectives. Architecture & Technical Authority Lead the architecture of scalable, resilient, and cloud-native test automation solutions that empower teams and improve defect prevention. Make high-impact technical decisions on frameworks, toolsets, and integrations to enable richer and more effective testing. Oversee technical reviews, mentorship, and hands-on guidance in complex areas such as distributed systems, data pipelines, and ad technologies. Partner with Platform Architects and DevOps to ensure seamless integration of quality gates and automated validation throughout deployment pipelines Cross-Functional Influence & Mentorship Serve as a coaching resource to SDETs, engineers, and leadership, regularly conducting technical deep-dives, training, and knowledge-sharing sessions. Build consensus across product teams for standardization of test tools, frameworks, and reusable components. Facilitate root cause analysis for high-severity incidents, drive preventative and corrective actions, and communicate technical findings to senior leadership. Represent DEEP & Technology quality interests within company-wide engineering and business forums. Program Management & Delivery Excellence Lead delivery of multiple concurrent, cross-team testing initiatives in fast-paced Agile environments. Manage test budgets, resource allocation, roadmap goals, and risk mitigation strategies across programs. Ensure rigorous governance over traceability, compliance, and test reporting, supporting company-wide accountability. Continuously identify bottlenecks and drive organization-wide solutions to improve efficiency, coverage, and reliability. Innovation & Continuous Improvement Champion research and adoption of emerging technologies (AI/ML in testing, autonomous testing, advanced observability, etc.) to keep test practices ahead of industry standards. Define and track advanced quality metrics (escape rates, flakiness, system reliability), implementing data-driven improvements. Lead efforts to mature organization's quality posture in performance, security, and reliability engineering. Inspire a culture of innovation, experiment with new tools and practices, and help set the direction for the future of engineering quality. Minimum Qualifications: Minimum of 10 years experience in quality engineering, automation, or software development, with recent leadership responsibilities in large, complex engineering environments Passion around driving best practices in the testing space Knowledge of software engineering practices and agile approaches Strong desire for establishing and improving product quality Proven expertise architecting and scaling test automation for distributed, cloud-native systems Track record of influencing enterprise strategy and leading transformation initiatives Advanced proficiency with Python or modern OO languages; experience with ad-tech or large-scale systems is a plus Willingness to take challenges head on while being part of a team Strong communication, stakeholder management, and mentoring skills Bachelor's degree, preferably in Computer Science or related field (or equivalent work experience) The hiring range for this position in California is $171,600 - $230,100 per year and in New York is $179,700 - $241,000 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.

At Disney "We Power the Magic!" That's our motto at Disney Experiences (DX) Technology & Digital. Our team creates world-class immersive digital experiences for Disney's Consumer Products Business. This role sits within the Technology & Digital organization for Disney Experiences and collaborates closely with cross-functional teams across the company. The Senior Software Engineer will report to the Sr Manager, Technology. About the Role & Team We are seeking a talented Sr Software Engineer to drive and develop scalable and performing data and application integration through APIs and/or Data across Licensing Financial Systems and Artificial Intelligence Systems. This role will be instrumental in shaping the architecture, integration, and delivery of next-generation platforms that power financial licensing workflows and predictive analytics. What You'll Do Lead the design, development, and deployment of data and application integration solution built using Mulesoft for licensing financial systems and AI-powered applications. Own the full software development lifecycle, including analysis, design, coding, testing, debugging, and documentation. Collaborate with product, business, and data science teams to define system requirements and deliver intelligent automation and integration. Apply machine learning and AI techniques to optimize licensing workflows Mentor junior or contracted engineers and foster a culture of innovation, inclusion, and technical excellence. Stay current with emerging technologies in integration, AI, financial systems, and cloud-native development to inform strategic decisions. Qualifications: A minimum of 5 years of software engineering experience, including development of data and application integration for complex and large-scale systems Hands-on experience with API Gateways/API management (Google Apigee) Excellent database skills in SQL and stored procedures and in optimizing large, complex SQL statements Hands-on expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data pipelines. Hands-on building and deploying LLM-based applications, including prompt engineering and fine-tuning Experience with RAG (Retrieval Augmented Generation), vector databases, and embeddings Excellent programming skills in languages Java and Python. Experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (e.g., Kubernetes). Agile development experience and familiarity with CI/CD pipelines. Excellent communication and stakeholder engagement skills. Preferred Qualifications Experience with licensing systems in media, entertainment, or digital content industries. A minimum of 3 years of experience with integration software Mulesoft Background in data engineering or applied AI in enterprise environments. Education: Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience). Master's degree or certifications in AI, Data Science, or Financial Technology is a plus. The hiring range for this position in Glendale, California is $141,900 to $190,300 per year and in Orlando, FL is $135,200 to $181,200 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.

At Disney "We Power the Magic!" That's our motto at Disney Experiences (DX) Technology & Digital. Our team creates world-class immersive digital experiences for Disney's Consumer Products Business. This role sits within the Technology & Digital organization for Disney Experiences and collaborates closely with cross-functional teams across the company. The Senior Software Engineer will report to the Sr Manager, Technology. About the Role & Team We are seeking a talented Sr Software Engineer to drive and develop scalable and performing data and application integration through APIs and/or Data across Licensing Financial Systems and Artificial Intelligence Systems. This role will be instrumental in shaping the architecture, integration, and delivery of next-generation platforms that power financial licensing workflows and predictive analytics. What You'll Do Lead the design, development, and deployment of data and application integration solution built using Mulesoft for licensing financial systems and AI-powered applications. Own the full software development lifecycle, including analysis, design, coding, testing, debugging, and documentation. Collaborate with product, business, and data science teams to define system requirements and deliver intelligent automation and integration. Apply machine learning and AI techniques to optimize licensing workflows Mentor junior or contracted engineers and foster a culture of innovation, inclusion, and technical excellence. Stay current with emerging technologies in integration, AI, financial systems, and cloud-native development to inform strategic decisions. Qualifications: A minimum of 5 years of software engineering experience, including development of data and application integration for complex and large-scale systems Hands-on experience with API Gateways/API management (Google Apigee) Excellent database skills in SQL and stored procedures and in optimizing large, complex SQL statements Hands-on expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data pipelines. Hands-on building and deploying LLM-based applications, including prompt engineering and fine-tuning Experience with RAG (Retrieval Augmented Generation), vector databases, and embeddings Excellent programming skills in languages Java and Python. Experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (e.g., Kubernetes). Agile development experience and familiarity with CI/CD pipelines. Excellent communication and stakeholder engagement skills. Preferred Qualifications Experience with licensing systems in media, entertainment, or digital content industries. A minimum of 3 years of experience with integration software Mulesoft Background in data engineering or applied AI in enterprise environments. Education: Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience). Master's degree or certifications in AI, Data Science, or Financial Technology is a plus. The hiring range for this position in Glendale, California is $141,900 to $190,300 per year and in Orlando, FL is $135,200 to $181,200 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.