The Walt Disney Company (Corporate)
Seattle, Washington
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.
08/06/2026
Full time
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
New York, New York
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.
08/06/2026
Full time
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
Bristol, Connecticut
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.
08/06/2026
Full time
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
Bristol, Connecticut
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.
08/06/2026
Full time
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
San Francisco, California
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.
08/06/2026
Full time
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.
The Walt Disney Company (Corporate)
Lake Buena Vista, Florida
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.
08/06/2026
Full time
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.
The Walt Disney Company (Corporate)
Burbank, California
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.
08/06/2026
Full time
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
New York, New York
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 News ML team is responsible for building robust data pipelines and advanced machine learning platforms that deliver personalized experiences to users across ABC News, Good Morning America, and local news stations. Our services leverage machine learning models to enable real-time content personalization and targeted distribution across web, mobile, and connected TV platforms, ensuring that users receive the most relevant and engaging news content tailored to their interests. Our mission is to drive seamless, resilient, and low-latency personalized content delivery at scale, while continuously advancing our ML infrastructure and recommendation algorithms. As a Senior Machine Learning Engineer, you will play a leading role in shaping the technical direction of the News ML Platform. You will drive infrastructure for scalable learning, inference, and monitoring, conduct in-depth data exploration and analysis, and collaborate across product, data, and engineering teams to power exceptional, personalized guest experiences. Your work will directly support strategic initiatives to help shape the roadmap for algorithmic innovation while ensuring that solutions are scalable, impactful, and aligned with stakeholder needs. Responsibilities Own complex technical initiatives end-to-end, from technical design through production deployment and operational excellence Design and develop infrastructure supporting the full cycle of machine learning, including data pipelines and workflow orchestration, data discovery and quality tools, and feature libraries Drive data and ML-driven solutions for diverse engineering use cases such as recommendation systems, object detection, autogenerated tagging solutions, RAGs Partner with product, editorial, and engineering stakeholders to translate business requirements into robust technical solutions Strategically prioritize initiatives and technical workstreams to deliver the highest-impact and most time-sensitive outcomes, while proactively identifying, communicating, and mitigating risks to ensure successful execution Champion engineering best practices across code quality, testing, CI/CD, observability, and incident response Mentor and coach engineers, fostering a culture of ownership, collaboration, and continuous improvement Contribute to technical documentation and promote knowledge sharing across teams Qualifications Bachelor's degree in Computer Science, Information Systems, Statistics, Math, or comparable field of study, and/or equivalent work experience 5+ years of experience building and operating ML engineering systems in production environments Expertise in data science, deep learning algorithms, or statistical methods to solve real-world engineering problems Comfortable operating at all levels of the predictive stack, including data collection, data analysis, feature engineering, batch training and low-latency online serving Experience designing and developing backend microservices for large-scale distributed systems using REST Experience with cloud infrastructure, preferably AWS (Step Functions, Lambda, Glue, SQS, SNS, Personalize) Familiarity with developing and deploying Spark and ML pipelines Hands-on experience with big data technologies such as Databricks, Kinesis, Kafka Proven leadership, coaching, and mentoring skills, with the ability to inspire and empower a team towards achieving business goals Experience with observability tools for metrics, logging, and monitoring such as Datadog Experience working in Agile/Scrum development environments Excellent communication skills and a commitment to collaboration in a fast-paced, guest-focused environment The hiring range for this position in New York, NY is $148,700 - $199,400 per year and in Glendale, 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.
08/06/2026
Full time
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 News ML team is responsible for building robust data pipelines and advanced machine learning platforms that deliver personalized experiences to users across ABC News, Good Morning America, and local news stations. Our services leverage machine learning models to enable real-time content personalization and targeted distribution across web, mobile, and connected TV platforms, ensuring that users receive the most relevant and engaging news content tailored to their interests. Our mission is to drive seamless, resilient, and low-latency personalized content delivery at scale, while continuously advancing our ML infrastructure and recommendation algorithms. As a Senior Machine Learning Engineer, you will play a leading role in shaping the technical direction of the News ML Platform. You will drive infrastructure for scalable learning, inference, and monitoring, conduct in-depth data exploration and analysis, and collaborate across product, data, and engineering teams to power exceptional, personalized guest experiences. Your work will directly support strategic initiatives to help shape the roadmap for algorithmic innovation while ensuring that solutions are scalable, impactful, and aligned with stakeholder needs. Responsibilities Own complex technical initiatives end-to-end, from technical design through production deployment and operational excellence Design and develop infrastructure supporting the full cycle of machine learning, including data pipelines and workflow orchestration, data discovery and quality tools, and feature libraries Drive data and ML-driven solutions for diverse engineering use cases such as recommendation systems, object detection, autogenerated tagging solutions, RAGs Partner with product, editorial, and engineering stakeholders to translate business requirements into robust technical solutions Strategically prioritize initiatives and technical workstreams to deliver the highest-impact and most time-sensitive outcomes, while proactively identifying, communicating, and mitigating risks to ensure successful execution Champion engineering best practices across code quality, testing, CI/CD, observability, and incident response Mentor and coach engineers, fostering a culture of ownership, collaboration, and continuous improvement Contribute to technical documentation and promote knowledge sharing across teams Qualifications Bachelor's degree in Computer Science, Information Systems, Statistics, Math, or comparable field of study, and/or equivalent work experience 5+ years of experience building and operating ML engineering systems in production environments Expertise in data science, deep learning algorithms, or statistical methods to solve real-world engineering problems Comfortable operating at all levels of the predictive stack, including data collection, data analysis, feature engineering, batch training and low-latency online serving Experience designing and developing backend microservices for large-scale distributed systems using REST Experience with cloud infrastructure, preferably AWS (Step Functions, Lambda, Glue, SQS, SNS, Personalize) Familiarity with developing and deploying Spark and ML pipelines Hands-on experience with big data technologies such as Databricks, Kinesis, Kafka Proven leadership, coaching, and mentoring skills, with the ability to inspire and empower a team towards achieving business goals Experience with observability tools for metrics, logging, and monitoring such as Datadog Experience working in Agile/Scrum development environments Excellent communication skills and a commitment to collaboration in a fast-paced, guest-focused environment The hiring range for this position in New York, NY is $148,700 - $199,400 per year and in Glendale, 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.
Disney Entertainment and ESPN Product & Technology
Santa Monica, California
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.
08/06/2026
Full time
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
Seattle, Washington
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.
08/06/2026
Full time
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
New York, New York
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.
08/06/2026
Full time
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
Seattle, Washington
On any given day at Disney Entertainment & ESPN Technology, we are 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 is 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 would love working here: Building the future of Disney's Streaming, Sports, and Entertainment business: DE&E Technologists are designing and building the backend systems, API's and mobile applications that will power Disney's media, advertising, and distribution businesses. Reach and Scale: The products and platforms this group builds and operates on 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. Engineering Services designs, builds, and sustains technology that powers DE&E Technology's worldwide content production and distribution platforms. In doing so, they contribute to a series of cross-functional services and technologies, including Quality Engineering, Data Analytics, Software Development, Broadcast Infrastructure, and Networking & Security. The Quality Engineering team validates all work before production, including web, mobile, living room applications, media, services, non-consumer-facing products and more. As a member of our team, you will strive to accomplish the following goals: Contributing to the successful implementation of solutions for complex technical problems with DE &ET engineering teams Owning the development and maintenance of one or more functional areas of test automation and tooling, execution environments, build systems and tooling used across multiple products Contribute to the successful design & implementation of one or more project features with input from senior engineers Check-in valuable, clean code daily that adds new features and capabilities Becoming a member of our Quality Engineering team, increasing quality through innovation, automated test creation, curiosity, and thoughtful debate. Responsibilities: Work with engineering teams to implement a full stack quality solution. Develop test automation frameworks, CI/CD infrastructures, build systems, and reporting tools to support flagship streaming mobile apps D+ and Hulu. Maintain documentation meant for end user consumption as well as project contributor documentation. Supplying end-user and developer training on automation tools and frameworks. Investigating and resolving any framework or execution of environmental issues affecting our services. Becoming a core member of our Platform & Date Engineering team, helping others increase productivity through innovation, and championing the core value of Disney Quality Basic Qualifications: Bachelor's degree and/or equivalent work experience Minimum of 3 years of related work experience in software development, including test automation for both front-end and back-end services Minimum of 1 year of experience in test automation and unit testing frameworks for iOS or Android apps Proficiency in object-oriented design and expertise in one or more programming languages: Swift, Kotlin, Java, or Node.js/TypeScript. Excellent problem-solving skills Strong collaboration skills and familiarity with standard Software Development Lifecycle (SDLC) tools such as Jira, Confluence, and version control systems like GitLab or GitHub Highly organized, detail-oriented, and able to deliver project tasks on time Strong verbal and written communication skills, with an elevated level of motivation and a self-starting attitude Preferred Qualifications: Experience delivering production iOS/Android apps Experience developing applications in cloud platforms (e.g., AWS) Experience working with cloud-based testing infrastructures (e.g., SauceLabs) Experience working with Agile methodologies Experience working with Docker, Kubernetes, Spinnaker, and continuous integration/delivery systems Experience writing Gherkin syntax to facilitate the development of automated test scenarios Experience developing advanced mocking mechanisms (e.g., rule-based proxies and dummy-services) Experience with test suite/case/run management tools (e.g., JIRA Xray, etc.) The hiring range for this position in Seattle, WA is $102,100 to $136,900 per year, and in Los Angeles, CA is $97,500 to $130,700 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.
08/06/2026
Full time
On any given day at Disney Entertainment & ESPN Technology, we are 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 is 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 would love working here: Building the future of Disney's Streaming, Sports, and Entertainment business: DE&E Technologists are designing and building the backend systems, API's and mobile applications that will power Disney's media, advertising, and distribution businesses. Reach and Scale: The products and platforms this group builds and operates on 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. Engineering Services designs, builds, and sustains technology that powers DE&E Technology's worldwide content production and distribution platforms. In doing so, they contribute to a series of cross-functional services and technologies, including Quality Engineering, Data Analytics, Software Development, Broadcast Infrastructure, and Networking & Security. The Quality Engineering team validates all work before production, including web, mobile, living room applications, media, services, non-consumer-facing products and more. As a member of our team, you will strive to accomplish the following goals: Contributing to the successful implementation of solutions for complex technical problems with DE &ET engineering teams Owning the development and maintenance of one or more functional areas of test automation and tooling, execution environments, build systems and tooling used across multiple products Contribute to the successful design & implementation of one or more project features with input from senior engineers Check-in valuable, clean code daily that adds new features and capabilities Becoming a member of our Quality Engineering team, increasing quality through innovation, automated test creation, curiosity, and thoughtful debate. Responsibilities: Work with engineering teams to implement a full stack quality solution. Develop test automation frameworks, CI/CD infrastructures, build systems, and reporting tools to support flagship streaming mobile apps D+ and Hulu. Maintain documentation meant for end user consumption as well as project contributor documentation. Supplying end-user and developer training on automation tools and frameworks. Investigating and resolving any framework or execution of environmental issues affecting our services. Becoming a core member of our Platform & Date Engineering team, helping others increase productivity through innovation, and championing the core value of Disney Quality Basic Qualifications: Bachelor's degree and/or equivalent work experience Minimum of 3 years of related work experience in software development, including test automation for both front-end and back-end services Minimum of 1 year of experience in test automation and unit testing frameworks for iOS or Android apps Proficiency in object-oriented design and expertise in one or more programming languages: Swift, Kotlin, Java, or Node.js/TypeScript. Excellent problem-solving skills Strong collaboration skills and familiarity with standard Software Development Lifecycle (SDLC) tools such as Jira, Confluence, and version control systems like GitLab or GitHub Highly organized, detail-oriented, and able to deliver project tasks on time Strong verbal and written communication skills, with an elevated level of motivation and a self-starting attitude Preferred Qualifications: Experience delivering production iOS/Android apps Experience developing applications in cloud platforms (e.g., AWS) Experience working with cloud-based testing infrastructures (e.g., SauceLabs) Experience working with Agile methodologies Experience working with Docker, Kubernetes, Spinnaker, and continuous integration/delivery systems Experience writing Gherkin syntax to facilitate the development of automated test scenarios Experience developing advanced mocking mechanisms (e.g., rule-based proxies and dummy-services) Experience with test suite/case/run management tools (e.g., JIRA Xray, etc.) The hiring range for this position in Seattle, WA is $102,100 to $136,900 per year, and in Los Angeles, CA is $97,500 to $130,700 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
The Woodlands, Texas
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: 1. 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. 2. 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. 3. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Content Platforms & Operations is responsible for the development and ongoing advancement of the technical and operational functions driving the worldwide distribution and monetization of Disney's linear networks and theatrical content. This includes Disney's media supply chain and storage, network and theatrical distribution operations, media localization, network transmission and origination, and more. The global team also plays a critical role as the primary collaboration point for Product & Technology with Disney's EMEA, APAC, and LATAM regional business teams. Job Summary: Disney Media Engineers have a clear charter: to transform the capability and flexibility of how Disney acquires, produces, and distributes content worldwide, all while ensuring the highest levels of quality, efficiency, and resiliency. Disney Media Engineers often find themselves at the crossroads between hardware and software based technology and must possess a comprehensive theoretical and practical understanding of the technology that powers the generation, monetization, and distribution of all forms of consumer- facing linear and digital video/audio content. Responsibility includes numerous systems such as Playout Technology, Studios, Production Control Rooms, Remote Production, Post-Production, Contribution/Distribution Systems, Networking, Cloud Compute, Production Software and Virtual Environment and more. The Lead Media Systems Engineer is an expert engineer in several disciplines related to the acquisition, production, or distribution of media content. They are well-versed in multiple technical standards and have hands-on experience in both the sustainment and design/build of production systems. The Lead Media Systems Engineer is part of a tiered sustainment model where incidents are escalated from a shared Operations team (tier 1) to the Media Engineer I's, II's and Sr. Media Engineer (tier 2), Lead Media Engineer (tier 3) and beyond. They are the heart of the sustainment efforts in the technology they lead. The Lead Media Engineer will interface with both external and internal partners to ensure their technical areas are operating with peak efficiency and reliability. Lead Media Engineers are also focused heavily on the design/build of their areas of expertise, often advancing innovative technology to maintain Disney's competitive technical edge. Lead Media Engineers perform beyond the technical to truly understand the businesses that benefit from our technology and make decisions and recommendations based on the complete business, operational and technical outlook, and requirements. Responsibilities and Duties of the Role: Respond to and resolve issues that affect acquisition, production, and content distribution across multiple DEE networks including system outages, malfunctions, and related technical problems, and conduct diagnostic testing, repair, and replacement activities necessary to solve routine, specialized, and complex problems. Utilize system health and performance monitoring software and platforms; troubleshoot and participate in repairing system problems and failures, participates in maintenance of systems, installs software patches, updates etc., to resolve and avoid service problems, and troubleshoots system problems as they relate to these services. Analyze and troubleshoot streaming audio/video signals in traditional SDI and IP 2110 essence flow routing environments. Analyze and troubleshoot cloud platforms as necessary Support third-party service providers by enforcing the agreed upon scope of services within the various signed service agreements (i.e., full time, freelance, union agencies, maintenance providers, contractors, service providers, etc.). Select, train, motivate and evaluate technical staff; provide or coordinate staff training; work with employees to correct deficiencies; implement discipline procedures. Support the procurement of equipment, supplies and materials for Media technology systems within budget guidelines; receive and maintain equipment and supplies. Support long range planning for future media technology needs, including capital improvements, to enhance production and distribution capabilities. Lead the development and implementation of policies and procedures regarding technology facilities with a focus on maximizing the integration of all systems to meet business, marketing, and entertainment goals. Lead operational support of all activities related to operating, maintaining, and programming the audio and video production/distribution systems across the enterprise and other connected properties. When required perform preventative maintenance on all broadcast systems and equipment, such as distribution systems, switchers, consoles, playout servers, cameras, robotics, electromechanical equipment, automation systems and radio facilities to ensure optimum broadcast performance. Participates in engineering projects at the direction of more experienced engineers. Reviews and contributes to system/workflow documentation. Participates in regular training and development objectives. Extraordinary influencer who is skilled at connecting the dots at the organization, strategy, program, project, and event levels. Able to persuade and change the thinking of others without damaging relationships. Comfortable working in a fast-paced, growth environment with minimal direction, delivering under tight deadlines while multitasking, prioritizing projects, and communicating priority updates to team members. Able to operate with limited resources, exhibit objective critical-thinking, and creatively solve problems. Motivated and inventive, always finds a way forward-eternal optimist with a committed drive for contributing and making a difference. Any other duties needed to help achieve Business Objectives. Required Education, Experience/Skills/Training: Minimum Qualifications: 7 + years of previous and relevant experience in leading others, developing technical strategies ensuring efficient sustainment, uptime, and overall stability of the technical environments of Media Engineering and live media production and distribution environments. Expert level knowledge and experience with integrating, implementing, or refreshing broadcast control room equipment, including familiarity with modern broadcast cabling infrastructure used in broadcast environments. Proficient with technologies like microservices, DevOps tools, design principles, practices, standards and guidelines Scripting proficiency will be an advantage (Python, NodeJS, Bash, PowerShell) Proficient in SMPTE standards for broadcast television and video production/streaming environments with a current certification such as not limited to ST 292M, ST 424M, ST 2110, ST 2059, IEE1588, ST 2022-7, SCTE-104, etc. Advanced level knowledge and experience with on-prem and cloud-based storage and compute infrastructure platforms and current technological offerings. At least one foundational cloud certification required, including but not limited to Microsoft Certified: Microsoft Azure Fundamentals, CompTIA Cloud+, AWS Certified Solutions Architect - Associate. Advanced level knowledge and experience with compression techniques such as MPEG2/4, HEVC, JPEG 2000, and JPEG XS Expert level knowledge and experience with Evertz software control systems such as frame control via VistaLink or Magnum, EQX/EXE routers, and their monitoring software VLPRO, SDVN, VIP, VUE, MVP. Advanced level knowledge and experience with major media systems and the vendors that supply them in areas such as asset management systems, file-based workflows, media acquisition, transcoding/encoding, graphics, and NAS/SAN technologies. Expert level knowledge and experience with Nielsen (NACAT), VANC equipment, Linear Acoustics, and other related systems. Expert level knowledge and experience with coordinated receiver decoders IRDs . click apply for full job details
08/06/2026
Full time
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: 1. 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. 2. 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. 3. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Content Platforms & Operations is responsible for the development and ongoing advancement of the technical and operational functions driving the worldwide distribution and monetization of Disney's linear networks and theatrical content. This includes Disney's media supply chain and storage, network and theatrical distribution operations, media localization, network transmission and origination, and more. The global team also plays a critical role as the primary collaboration point for Product & Technology with Disney's EMEA, APAC, and LATAM regional business teams. Job Summary: Disney Media Engineers have a clear charter: to transform the capability and flexibility of how Disney acquires, produces, and distributes content worldwide, all while ensuring the highest levels of quality, efficiency, and resiliency. Disney Media Engineers often find themselves at the crossroads between hardware and software based technology and must possess a comprehensive theoretical and practical understanding of the technology that powers the generation, monetization, and distribution of all forms of consumer- facing linear and digital video/audio content. Responsibility includes numerous systems such as Playout Technology, Studios, Production Control Rooms, Remote Production, Post-Production, Contribution/Distribution Systems, Networking, Cloud Compute, Production Software and Virtual Environment and more. The Lead Media Systems Engineer is an expert engineer in several disciplines related to the acquisition, production, or distribution of media content. They are well-versed in multiple technical standards and have hands-on experience in both the sustainment and design/build of production systems. The Lead Media Systems Engineer is part of a tiered sustainment model where incidents are escalated from a shared Operations team (tier 1) to the Media Engineer I's, II's and Sr. Media Engineer (tier 2), Lead Media Engineer (tier 3) and beyond. They are the heart of the sustainment efforts in the technology they lead. The Lead Media Engineer will interface with both external and internal partners to ensure their technical areas are operating with peak efficiency and reliability. Lead Media Engineers are also focused heavily on the design/build of their areas of expertise, often advancing innovative technology to maintain Disney's competitive technical edge. Lead Media Engineers perform beyond the technical to truly understand the businesses that benefit from our technology and make decisions and recommendations based on the complete business, operational and technical outlook, and requirements. Responsibilities and Duties of the Role: Respond to and resolve issues that affect acquisition, production, and content distribution across multiple DEE networks including system outages, malfunctions, and related technical problems, and conduct diagnostic testing, repair, and replacement activities necessary to solve routine, specialized, and complex problems. Utilize system health and performance monitoring software and platforms; troubleshoot and participate in repairing system problems and failures, participates in maintenance of systems, installs software patches, updates etc., to resolve and avoid service problems, and troubleshoots system problems as they relate to these services. Analyze and troubleshoot streaming audio/video signals in traditional SDI and IP 2110 essence flow routing environments. Analyze and troubleshoot cloud platforms as necessary Support third-party service providers by enforcing the agreed upon scope of services within the various signed service agreements (i.e., full time, freelance, union agencies, maintenance providers, contractors, service providers, etc.). Select, train, motivate and evaluate technical staff; provide or coordinate staff training; work with employees to correct deficiencies; implement discipline procedures. Support the procurement of equipment, supplies and materials for Media technology systems within budget guidelines; receive and maintain equipment and supplies. Support long range planning for future media technology needs, including capital improvements, to enhance production and distribution capabilities. Lead the development and implementation of policies and procedures regarding technology facilities with a focus on maximizing the integration of all systems to meet business, marketing, and entertainment goals. Lead operational support of all activities related to operating, maintaining, and programming the audio and video production/distribution systems across the enterprise and other connected properties. When required perform preventative maintenance on all broadcast systems and equipment, such as distribution systems, switchers, consoles, playout servers, cameras, robotics, electromechanical equipment, automation systems and radio facilities to ensure optimum broadcast performance. Participates in engineering projects at the direction of more experienced engineers. Reviews and contributes to system/workflow documentation. Participates in regular training and development objectives. Extraordinary influencer who is skilled at connecting the dots at the organization, strategy, program, project, and event levels. Able to persuade and change the thinking of others without damaging relationships. Comfortable working in a fast-paced, growth environment with minimal direction, delivering under tight deadlines while multitasking, prioritizing projects, and communicating priority updates to team members. Able to operate with limited resources, exhibit objective critical-thinking, and creatively solve problems. Motivated and inventive, always finds a way forward-eternal optimist with a committed drive for contributing and making a difference. Any other duties needed to help achieve Business Objectives. Required Education, Experience/Skills/Training: Minimum Qualifications: 7 + years of previous and relevant experience in leading others, developing technical strategies ensuring efficient sustainment, uptime, and overall stability of the technical environments of Media Engineering and live media production and distribution environments. Expert level knowledge and experience with integrating, implementing, or refreshing broadcast control room equipment, including familiarity with modern broadcast cabling infrastructure used in broadcast environments. Proficient with technologies like microservices, DevOps tools, design principles, practices, standards and guidelines Scripting proficiency will be an advantage (Python, NodeJS, Bash, PowerShell) Proficient in SMPTE standards for broadcast television and video production/streaming environments with a current certification such as not limited to ST 292M, ST 424M, ST 2110, ST 2059, IEE1588, ST 2022-7, SCTE-104, etc. Advanced level knowledge and experience with on-prem and cloud-based storage and compute infrastructure platforms and current technological offerings. At least one foundational cloud certification required, including but not limited to Microsoft Certified: Microsoft Azure Fundamentals, CompTIA Cloud+, AWS Certified Solutions Architect - Associate. Advanced level knowledge and experience with compression techniques such as MPEG2/4, HEVC, JPEG 2000, and JPEG XS Expert level knowledge and experience with Evertz software control systems such as frame control via VistaLink or Magnum, EQX/EXE routers, and their monitoring software VLPRO, SDVN, VIP, VUE, MVP. Advanced level knowledge and experience with major media systems and the vendors that supply them in areas such as asset management systems, file-based workflows, media acquisition, transcoding/encoding, graphics, and NAS/SAN technologies. Expert level knowledge and experience with Nielsen (NACAT), VANC equipment, Linear Acoustics, and other related systems. Expert level knowledge and experience with coordinated receiver decoders IRDs . click apply for full job details
Disney Entertainment and ESPN Product & Technology
New York, New York
On any given day at Disney Entertainment & ESPN Technology, we are 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 is 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 would love working here: Building the future of Disney's Streaming, Sports, and Entertainment business: DE&E Technologists are designing and building the backend systems, API's and mobile applications that will power Disney's media, advertising, and distribution businesses. Reach and Scale: The products and platforms this group builds and operates on 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. Engineering Services designs, builds, and sustains technology that powers DE&E Technology's worldwide content production and distribution platforms. In doing so, they contribute to a series of cross-functional services and technologies, including Quality Engineering, Data Analytics, Software Development, Broadcast Infrastructure, and Networking & Security. The Quality Engineering team validates all work before production, including web, mobile, living room applications, media, services, non-consumer-facing products and more. As a member of our team, you will strive to accomplish the following goals: Contributing to the successful implementation of solutions for complex technical problems with DE &ET engineering teams Owning the development and maintenance of one or more functional areas of test automation and tooling, execution environments, build systems and tooling used across multiple products Contribute to the successful design & implementation of one or more project features with input from senior engineers Check-in valuable, clean code daily that adds new features and capabilities Becoming a member of our Quality Engineering team, increasing quality through innovation, automated test creation, curiosity, and thoughtful debate. Responsibilities: Work with engineering teams to implement a full stack quality solution. Develop test automation frameworks, CI/CD infrastructures, build systems, and reporting tools to support flagship streaming mobile apps D+ and Hulu. Maintain documentation meant for end user consumption as well as project contributor documentation. Supplying end-user and developer training on automation tools and frameworks. Investigating and resolving any framework or execution of environmental issues affecting our services. Becoming a core member of our Platform & Date Engineering team, helping others increase productivity through innovation, and championing the core value of Disney Quality Basic Qualifications: Bachelor's degree and/or equivalent work experience Minimum of 3 years of related work experience in software development, including test automation for both front-end and back-end services Minimum of 1 year of experience in test automation and unit testing frameworks for iOS or Android apps Proficiency in object-oriented design and expertise in one or more programming languages: Swift, Kotlin, Java, or Node.js/TypeScript. Excellent problem-solving skills Strong collaboration skills and familiarity with standard Software Development Lifecycle (SDLC) tools such as Jira, Confluence, and version control systems like GitLab or GitHub Highly organized, detail-oriented, and able to deliver project tasks on time Strong verbal and written communication skills, with an elevated level of motivation and a self-starting attitude Preferred Qualifications: Experience delivering production iOS/Android apps Experience developing applications in cloud platforms (e.g., AWS) Experience working with cloud-based testing infrastructures (e.g., SauceLabs) Experience working with Agile methodologies Experience working with Docker, Kubernetes, Spinnaker, and continuous integration/delivery systems Experience writing Gherkin syntax to facilitate the development of automated test scenarios Experience developing advanced mocking mechanisms (e.g., rule-based proxies and dummy-services) Experience with test suite/case/run management tools (e.g., JIRA Xray, etc.) The hiring range for this position in Seattle, WA is $102,100 to $136,900 per year, and in Los Angeles, CA is $97,500 to $130,700 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.
08/06/2026
Full time
On any given day at Disney Entertainment & ESPN Technology, we are 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 is 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 would love working here: Building the future of Disney's Streaming, Sports, and Entertainment business: DE&E Technologists are designing and building the backend systems, API's and mobile applications that will power Disney's media, advertising, and distribution businesses. Reach and Scale: The products and platforms this group builds and operates on 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. Engineering Services designs, builds, and sustains technology that powers DE&E Technology's worldwide content production and distribution platforms. In doing so, they contribute to a series of cross-functional services and technologies, including Quality Engineering, Data Analytics, Software Development, Broadcast Infrastructure, and Networking & Security. The Quality Engineering team validates all work before production, including web, mobile, living room applications, media, services, non-consumer-facing products and more. As a member of our team, you will strive to accomplish the following goals: Contributing to the successful implementation of solutions for complex technical problems with DE &ET engineering teams Owning the development and maintenance of one or more functional areas of test automation and tooling, execution environments, build systems and tooling used across multiple products Contribute to the successful design & implementation of one or more project features with input from senior engineers Check-in valuable, clean code daily that adds new features and capabilities Becoming a member of our Quality Engineering team, increasing quality through innovation, automated test creation, curiosity, and thoughtful debate. Responsibilities: Work with engineering teams to implement a full stack quality solution. Develop test automation frameworks, CI/CD infrastructures, build systems, and reporting tools to support flagship streaming mobile apps D+ and Hulu. Maintain documentation meant for end user consumption as well as project contributor documentation. Supplying end-user and developer training on automation tools and frameworks. Investigating and resolving any framework or execution of environmental issues affecting our services. Becoming a core member of our Platform & Date Engineering team, helping others increase productivity through innovation, and championing the core value of Disney Quality Basic Qualifications: Bachelor's degree and/or equivalent work experience Minimum of 3 years of related work experience in software development, including test automation for both front-end and back-end services Minimum of 1 year of experience in test automation and unit testing frameworks for iOS or Android apps Proficiency in object-oriented design and expertise in one or more programming languages: Swift, Kotlin, Java, or Node.js/TypeScript. Excellent problem-solving skills Strong collaboration skills and familiarity with standard Software Development Lifecycle (SDLC) tools such as Jira, Confluence, and version control systems like GitLab or GitHub Highly organized, detail-oriented, and able to deliver project tasks on time Strong verbal and written communication skills, with an elevated level of motivation and a self-starting attitude Preferred Qualifications: Experience delivering production iOS/Android apps Experience developing applications in cloud platforms (e.g., AWS) Experience working with cloud-based testing infrastructures (e.g., SauceLabs) Experience working with Agile methodologies Experience working with Docker, Kubernetes, Spinnaker, and continuous integration/delivery systems Experience writing Gherkin syntax to facilitate the development of automated test scenarios Experience developing advanced mocking mechanisms (e.g., rule-based proxies and dummy-services) Experience with test suite/case/run management tools (e.g., JIRA Xray, etc.) The hiring range for this position in Seattle, WA is $102,100 to $136,900 per year, and in Los Angeles, CA is $97,500 to $130,700 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.
The Walt Disney Company (Corporate)
New York, New York
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.
08/06/2026
Full time
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.
This is not a remote role - you must be in the area or be open to relocation Senior Software Engineer, Payments and Accounting "It takes people to make the dream a reality." Walt was on to something when he said that, and it continues to ring true today. No matter where you are in the stage of your career, being part of Disney Parks, Experiences and Products (DPEP) means being a part of a team where you help bring innovation to life through unsurpassed products, services and most importantly remarkable experiences. As a Cast Member, you are the steward and connection to our legacy and the backbone of our thriving innovations. Join our team and watch your dreams come true. As a Senior Software Engineer with experience in full-stack software engineering and a strong commitment to excellence, you will contribute hands-on within the Payments and Accounting Technology team responsible for advancing the payments and accounting ecosystem to support the ever-expanding business needs of Parks Commercial Platforms. Our team owns and operates 30+ production backend and frontend services powering payment processing, fraud detection, gift card management, and card issuance across Walt Disney World, Disneyland, Disney Cruise Line, Disney Store, and other Disney properties. We seek forward-thinking full-stack engineers who are passionate about delivering quality products at scale, embrace AI-assisted development practices, and enjoy working closely with business partners on both strategic and tactical challenges. The ideal candidate should be comfortable working across backend services (Java/Spring) and frontend applications (Angular/Node.js), be proficient in leveraging AI tools to accelerate development workflows, and thrive in a fast-paced environment where production incident response and delivery excellence are equally important. The Senior Software Engineer reports to the Senior Manager-Technology. As a part of our team, you will work towards achieving the objectives outlined below: Actively participating in the successful implementation of solutions for complex technical problems across the full stack from backend Java microservices to Angular UI applications and Node.js API layers Contributing to the development and maintenance of payment processing frameworks, containerized execution environments, build systems, and shared libraries used across multiple products Applying AI-assisted development practices including AI-assisted code review, automated testing, secure prompt engineering, and identifying opportunities to apply AI/ML in fraud detection and payment optimization Providing input on future initiatives with stakeholders and fellow engineers, including technical debt prioritization, platform modernization, and capital planning considerations Contributing to project architecture and effectively communicating technical decisions within the team Contributing to Key Performance Indicators (KPIs) to measure project progress, system reliability, and engineering productivity Collaborating with engineers to ensure clean, thread-safe, well-tested code that introduces new features and capabilities Improving engineering productivity through innovation, automation, and adoption of modern development tools and AI assistants Responsibilities: Design, develop, and maintain full-stack payment processing applications spanning Java 21/Spring backend microservices, Angular 18 frontend applications, and Node.js 20 API layers Build and maintain containerized services using Docker, deploying to AWS with Tomcat-based runtime environments Support and operate production services processing real-time payment transactions across multiple Disney properties including authorization, settlement, fraud screening, gift card operations, and card issuance Develop and maintain Splunk-based monitoring, alerting, and operational analytics for payment and fraud detection systems Implement and support adherence to PCI-DSS compliance standards across application code, logging, data handling, and infrastructure Participate in production incident response for payment service failures including rapid triage, root cause analysis, remediation, and post-incident documentation Apply AI-assisted development practices including AI-powered code review, test generation, refactoring, and documentation; identify safe injection points for AI/ML in payment and fraud systems Mentor junior engineers through code reviews, technical discussions, and pair programming Collaborate with external vendor teams and internal stakeholders for complex integration work Contribute to technical estimates, risk assessments, and project sizing Investigate and resolve complex concurrency and performance issues in high-throughput payment services Act as a technical resource across backend services and frontend applications Qualifications: Must have 5+ years of design, architecture, and development experience in highly scalable, high-volume software components and/or client-facing web applications Experience in payment processing, fintech, or financial services technology strongly preferred Must have demonstrated experience leveraging AI tools in software development workflows preferred Deep understanding of design patterns and modern, highly scalable full-stack application development Advanced experience with Java 17+ (Java 21 preferred) including Spring Framework Advanced experience with Angular 16+ (Angular 18 preferred) and Node.js 18+ (Node.js 20 preferred) Advanced experience with AWS services: Lambda, DynamoDB, Aurora DB, S3, ECS, CloudWatch Advanced experience with Docker containerization and CI/CD pipelines (Jenkins, GitHub Actions, Harness) Advanced experience with microservices architecture, RESTful APIs, and cloud-native design patterns Must have proficiency with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Amazon Q) and experience using them in development workflows Experience with or strong interest in applying AI/ML to fraud detection, anomaly detection, or payment optimization use cases Strong understanding of payment processing concepts: authorization, settlement, tokenization, PCI-DSS compliance, card network mandates Experience with Splunk or similar log analytics platforms for operational monitoring and incident investigation Advanced experience in Object-Oriented design principles, patterns, and coding best practices Advanced experience building use case driven software with Agile Software Development and Test Driven Development methodologies Experience with database technologies: Aurora (MySQL), MariaDB, DynamoDB, Redis Ability to thrive in a dynamic, fast-paced environment with on-call production support responsibilities Ability to be highly flexible to quickly changing business needs and new technologies Ability to performance tuning, and concurrency hardening across production services Ability to contribute to test automation including JUnit concurrency testing, integration testing, and regression suites Ability to create and maintain technical documentation, runbooks, and operational procedures Ability to contribute to improvement of software development processes, including code quality gates (SonarQube), security scanning, and deployment practices Ability to proactively reassess business needs and make suggestions to meet those needs Ability to apply vision, creativity, and proactive solutions to complex issues across the full stack Ability to perform programming, testing, and debugging of major projects spanning backend and frontend systems Ability to mentor and review the work of less experienced members of the team Required Education: Bachelor's Degree in Computer Science or Engineering Field (or equivalent education and experience) The hiring range for this position in Orlando is $135,200.00 - $165,000.00per 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.
08/06/2026
Full time
This is not a remote role - you must be in the area or be open to relocation Senior Software Engineer, Payments and Accounting "It takes people to make the dream a reality." Walt was on to something when he said that, and it continues to ring true today. No matter where you are in the stage of your career, being part of Disney Parks, Experiences and Products (DPEP) means being a part of a team where you help bring innovation to life through unsurpassed products, services and most importantly remarkable experiences. As a Cast Member, you are the steward and connection to our legacy and the backbone of our thriving innovations. Join our team and watch your dreams come true. As a Senior Software Engineer with experience in full-stack software engineering and a strong commitment to excellence, you will contribute hands-on within the Payments and Accounting Technology team responsible for advancing the payments and accounting ecosystem to support the ever-expanding business needs of Parks Commercial Platforms. Our team owns and operates 30+ production backend and frontend services powering payment processing, fraud detection, gift card management, and card issuance across Walt Disney World, Disneyland, Disney Cruise Line, Disney Store, and other Disney properties. We seek forward-thinking full-stack engineers who are passionate about delivering quality products at scale, embrace AI-assisted development practices, and enjoy working closely with business partners on both strategic and tactical challenges. The ideal candidate should be comfortable working across backend services (Java/Spring) and frontend applications (Angular/Node.js), be proficient in leveraging AI tools to accelerate development workflows, and thrive in a fast-paced environment where production incident response and delivery excellence are equally important. The Senior Software Engineer reports to the Senior Manager-Technology. As a part of our team, you will work towards achieving the objectives outlined below: Actively participating in the successful implementation of solutions for complex technical problems across the full stack from backend Java microservices to Angular UI applications and Node.js API layers Contributing to the development and maintenance of payment processing frameworks, containerized execution environments, build systems, and shared libraries used across multiple products Applying AI-assisted development practices including AI-assisted code review, automated testing, secure prompt engineering, and identifying opportunities to apply AI/ML in fraud detection and payment optimization Providing input on future initiatives with stakeholders and fellow engineers, including technical debt prioritization, platform modernization, and capital planning considerations Contributing to project architecture and effectively communicating technical decisions within the team Contributing to Key Performance Indicators (KPIs) to measure project progress, system reliability, and engineering productivity Collaborating with engineers to ensure clean, thread-safe, well-tested code that introduces new features and capabilities Improving engineering productivity through innovation, automation, and adoption of modern development tools and AI assistants Responsibilities: Design, develop, and maintain full-stack payment processing applications spanning Java 21/Spring backend microservices, Angular 18 frontend applications, and Node.js 20 API layers Build and maintain containerized services using Docker, deploying to AWS with Tomcat-based runtime environments Support and operate production services processing real-time payment transactions across multiple Disney properties including authorization, settlement, fraud screening, gift card operations, and card issuance Develop and maintain Splunk-based monitoring, alerting, and operational analytics for payment and fraud detection systems Implement and support adherence to PCI-DSS compliance standards across application code, logging, data handling, and infrastructure Participate in production incident response for payment service failures including rapid triage, root cause analysis, remediation, and post-incident documentation Apply AI-assisted development practices including AI-powered code review, test generation, refactoring, and documentation; identify safe injection points for AI/ML in payment and fraud systems Mentor junior engineers through code reviews, technical discussions, and pair programming Collaborate with external vendor teams and internal stakeholders for complex integration work Contribute to technical estimates, risk assessments, and project sizing Investigate and resolve complex concurrency and performance issues in high-throughput payment services Act as a technical resource across backend services and frontend applications Qualifications: Must have 5+ years of design, architecture, and development experience in highly scalable, high-volume software components and/or client-facing web applications Experience in payment processing, fintech, or financial services technology strongly preferred Must have demonstrated experience leveraging AI tools in software development workflows preferred Deep understanding of design patterns and modern, highly scalable full-stack application development Advanced experience with Java 17+ (Java 21 preferred) including Spring Framework Advanced experience with Angular 16+ (Angular 18 preferred) and Node.js 18+ (Node.js 20 preferred) Advanced experience with AWS services: Lambda, DynamoDB, Aurora DB, S3, ECS, CloudWatch Advanced experience with Docker containerization and CI/CD pipelines (Jenkins, GitHub Actions, Harness) Advanced experience with microservices architecture, RESTful APIs, and cloud-native design patterns Must have proficiency with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Amazon Q) and experience using them in development workflows Experience with or strong interest in applying AI/ML to fraud detection, anomaly detection, or payment optimization use cases Strong understanding of payment processing concepts: authorization, settlement, tokenization, PCI-DSS compliance, card network mandates Experience with Splunk or similar log analytics platforms for operational monitoring and incident investigation Advanced experience in Object-Oriented design principles, patterns, and coding best practices Advanced experience building use case driven software with Agile Software Development and Test Driven Development methodologies Experience with database technologies: Aurora (MySQL), MariaDB, DynamoDB, Redis Ability to thrive in a dynamic, fast-paced environment with on-call production support responsibilities Ability to be highly flexible to quickly changing business needs and new technologies Ability to performance tuning, and concurrency hardening across production services Ability to contribute to test automation including JUnit concurrency testing, integration testing, and regression suites Ability to create and maintain technical documentation, runbooks, and operational procedures Ability to contribute to improvement of software development processes, including code quality gates (SonarQube), security scanning, and deployment practices Ability to proactively reassess business needs and make suggestions to meet those needs Ability to apply vision, creativity, and proactive solutions to complex issues across the full stack Ability to perform programming, testing, and debugging of major projects spanning backend and frontend systems Ability to mentor and review the work of less experienced members of the team Required Education: Bachelor's Degree in Computer Science or Engineering Field (or equivalent education and experience) The hiring range for this position in Orlando is $135,200.00 - $165,000.00per 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 Walt Disney Company (Corporate)
Raleigh, North Carolina
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. The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. What You'll Do: The Lead Network Engineer is responsible for designing, implementing, and supporting purpose-built networks. This role serves as the technical leader for the network engineering and operations team, consistency, scalability, reliability, and alignment with long-term business and technology strategies. As the lead network engineer, this individual will be responsible for peer approvals , technical guidance and maintain technical expertise . In addition, this role provides mentorship, technical leadership, and Tier 3 escalation support to the Network engineering and operations teams while partnering closely with stakeholders across the organization. The Lead Network Engineer works closely with the business to collaboratively ideate, develop and implement innovative technology solutions that enable business unit capability needs. The Lead is seen as critical partner to the business unit team, and partners closely through all aspects of solution development and deployment. Mentors team members in the areas of technical aptitude and expertise , soft skills, risk analysis and relationship management Adeptly performs relationship management across all levels of the business unit and network services teams Directly participates in and oversees the design, engineering and deployment of business unit network solutions and capabilities Advocates for the business unit, and it needs in driving new standards, processes and the adoption of new technologies Oversee and manages quality service delivery from vendors and 3rd parties Performs risk management with respect to project oversight and solution development oversight, quickly raising issues to leadership Applies business rationale in the review of designs and solutions developed by the team, ensuring fit for use and financial efficacy Understands how data can improve efficiency and employs methods to exploit these benefits Provides expert technical leadership and is adept in the core technologies required . BU specific technologies - expert understanding of not only core network concepts and technologies, but also maintains working knowledge of BU specific technologies Drives development and enhancement of vendor technologies, strategies and roadmaps Drives adherence to technical standards, and where appropriate , proposes new standards and technologies Required Skills & Qualifications: Minimum of 7 + years of technology evaluation, problem resolution and project management experience. 5+ years of technology evaluation, problem resolution and project management experience. Advanced communication skills, particularly the ability to communicate technical information to non-technical audiences. Demonstrated ability to work with a wide array of technical and managerial personnel to solve complex problems. Strong customer service skills and orientation. Knowledge of film entertainment, hospitality, video distribution, multicast and broadcast. Experience in Wide area and Local Area network design, configuration, installation, evaluation, problem resolution, and project management. Deep understanding of network concepts such as LAN, WAN, Internet and WiFi Demonstrated ability to lead, coordinate, and oversee complex projects Strong presentation skills Adept at written and oral communications Strong requirements facilitation skills Ability to interface and collaborate directly with IT constituents, executives, business partners, and vendors Ability to think innovatively Self-organizing and motivated Has demonstrated success in the areas of team leadership, management and mentorship Can scale influence and leadership across a broad array business use cases and projects Understands and can practically apply the concepts of infrastructure service delivery, and service roadmaps. Seeks to understand customer perspective/feedback and informs leadership (voice of the customer) Thinks in terms of technologies and business/technical capabilities Can comprehend and apply architecture and frameworks to engineering designs and design reviews Understands delivery of infrastructure as a service Possesses strong communication skills resulting in the ability to produce clear, concise and consumable verbal and written communications/depictions Is self-organizing and capable of autonomous execution Is self-aware Is able to effectively interact with cross functional senior technical and executive resources Preferred Qualifications: Core vendor specific certifications (Cisco and/or Arista and/or Palo Alto) Required Education : Bachelor of Science in Computer Science, Network Engineering, Electrical Engineering or comparable field of study, and/or equivalent work experience The hiring range for this position in Raleigh, NC and Morrisville, NC is $148,300 to $198,800 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.
08/06/2026
Full time
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. The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. What You'll Do: The Lead Network Engineer is responsible for designing, implementing, and supporting purpose-built networks. This role serves as the technical leader for the network engineering and operations team, consistency, scalability, reliability, and alignment with long-term business and technology strategies. As the lead network engineer, this individual will be responsible for peer approvals , technical guidance and maintain technical expertise . In addition, this role provides mentorship, technical leadership, and Tier 3 escalation support to the Network engineering and operations teams while partnering closely with stakeholders across the organization. The Lead Network Engineer works closely with the business to collaboratively ideate, develop and implement innovative technology solutions that enable business unit capability needs. The Lead is seen as critical partner to the business unit team, and partners closely through all aspects of solution development and deployment. Mentors team members in the areas of technical aptitude and expertise , soft skills, risk analysis and relationship management Adeptly performs relationship management across all levels of the business unit and network services teams Directly participates in and oversees the design, engineering and deployment of business unit network solutions and capabilities Advocates for the business unit, and it needs in driving new standards, processes and the adoption of new technologies Oversee and manages quality service delivery from vendors and 3rd parties Performs risk management with respect to project oversight and solution development oversight, quickly raising issues to leadership Applies business rationale in the review of designs and solutions developed by the team, ensuring fit for use and financial efficacy Understands how data can improve efficiency and employs methods to exploit these benefits Provides expert technical leadership and is adept in the core technologies required . BU specific technologies - expert understanding of not only core network concepts and technologies, but also maintains working knowledge of BU specific technologies Drives development and enhancement of vendor technologies, strategies and roadmaps Drives adherence to technical standards, and where appropriate , proposes new standards and technologies Required Skills & Qualifications: Minimum of 7 + years of technology evaluation, problem resolution and project management experience. 5+ years of technology evaluation, problem resolution and project management experience. Advanced communication skills, particularly the ability to communicate technical information to non-technical audiences. Demonstrated ability to work with a wide array of technical and managerial personnel to solve complex problems. Strong customer service skills and orientation. Knowledge of film entertainment, hospitality, video distribution, multicast and broadcast. Experience in Wide area and Local Area network design, configuration, installation, evaluation, problem resolution, and project management. Deep understanding of network concepts such as LAN, WAN, Internet and WiFi Demonstrated ability to lead, coordinate, and oversee complex projects Strong presentation skills Adept at written and oral communications Strong requirements facilitation skills Ability to interface and collaborate directly with IT constituents, executives, business partners, and vendors Ability to think innovatively Self-organizing and motivated Has demonstrated success in the areas of team leadership, management and mentorship Can scale influence and leadership across a broad array business use cases and projects Understands and can practically apply the concepts of infrastructure service delivery, and service roadmaps. Seeks to understand customer perspective/feedback and informs leadership (voice of the customer) Thinks in terms of technologies and business/technical capabilities Can comprehend and apply architecture and frameworks to engineering designs and design reviews Understands delivery of infrastructure as a service Possesses strong communication skills resulting in the ability to produce clear, concise and consumable verbal and written communications/depictions Is self-organizing and capable of autonomous execution Is self-aware Is able to effectively interact with cross functional senior technical and executive resources Preferred Qualifications: Core vendor specific certifications (Cisco and/or Arista and/or Palo Alto) Required Education : Bachelor of Science in Computer Science, Network Engineering, Electrical Engineering or comparable field of study, and/or equivalent work experience The hiring range for this position in Raleigh, NC and Morrisville, NC is $148,300 to $198,800 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.
Join a dynamic and innovative team as the Director of Hardware Design, where you will play a pivotal role in shaping the future of electrical hardware for global deployments. This senior-level position focuses on electrical engineering with a strong emphasis on solar power systems, camera and imaging electronics, and robust outdoor electrical systems. You will drive the entire hardware lifecycle, from strategy to execution, ensuring reliable and cost-effective solutions that empower advanced AI models in diverse environments. In this role, you will collaborate closely with software, AI/computer vision, QA, product, and procurement teams to define hardware strategies and make critical decisions. Your responsibilities will include managing BOMs, vendor relationships, and delivering manufacturable hardware that meets the demands of global markets. This position combines deep technical expertise with strategic leadership, laying the groundwork for future hardware team expansion. Key Responsibilities Electrical Hardware Design & Development: Spearhead the design and optimization of solar power systems for outdoor devices. Lead the development of camera and imaging hardware, ensuring optimal performance in varying environmental conditions. Develop robust electrical systems for global deployment, focusing on temperature variance, protection, and reliability. BOM, Procurement & Supply Chain Management: Manage BOMs, focusing on component selection, cost optimization, and lifecycle management. Work closely with procurement and operations to ensure efficient vendor and contract manufacturer relationships. Cross-Functional Collaboration & AI Enablement: Partner with AI/ML and computer vision engineers to ensure hardware meets image quality and power efficiency standards. Collaborate with software and QA teams for system integration and testing. Strategic & Roadmap Leadership: Define the hardware technology roadmap, focusing on electrical architecture and global deployment goals. Act as the primary expert in engineering discussions and lay the foundation for team growth. Quality, Reliability & Compliance: Ensure all hardware meets regulatory requirements and is designed for long-term reliability. Establish robust validation processes for global deployments. Qualifications Required Bachelors or Masters degree in Electrical Engineering or a related field. 1015+ years of hands-on experience in electrical hardware design for solar power systems, camera/imaging electronics, and rugged outdoor devices. Expertise in power electronics, battery management systems, and low-power design for solar applications. Proven experience with camera modules and imaging pipelines for computer vision applications. Strong proficiency in schematic capture and PCB design tools, particularly Altium. Experience with BOM management and collaboration with procurement and manufacturers. Ability to independently lead hardware projects and influence cross-functional teams. Excellent communication skills and experience with mechanical integration requirements. Preferred Experience designing hardware for worldwide deployment, including regulatory compliance. Direct experience with electrical hardware for computer vision or edge AI platforms. Background in smart cities, municipal infrastructure, or related fields. Experience with high-volume outdoor electronic deployments. Patent contributions or experience in driving hardware-related intellectual property. Apply now to lead cutting-edge hardware design initiatives and contribute to revolutionary global solutions.
08/06/2026
Join a dynamic and innovative team as the Director of Hardware Design, where you will play a pivotal role in shaping the future of electrical hardware for global deployments. This senior-level position focuses on electrical engineering with a strong emphasis on solar power systems, camera and imaging electronics, and robust outdoor electrical systems. You will drive the entire hardware lifecycle, from strategy to execution, ensuring reliable and cost-effective solutions that empower advanced AI models in diverse environments. In this role, you will collaborate closely with software, AI/computer vision, QA, product, and procurement teams to define hardware strategies and make critical decisions. Your responsibilities will include managing BOMs, vendor relationships, and delivering manufacturable hardware that meets the demands of global markets. This position combines deep technical expertise with strategic leadership, laying the groundwork for future hardware team expansion. Key Responsibilities Electrical Hardware Design & Development: Spearhead the design and optimization of solar power systems for outdoor devices. Lead the development of camera and imaging hardware, ensuring optimal performance in varying environmental conditions. Develop robust electrical systems for global deployment, focusing on temperature variance, protection, and reliability. BOM, Procurement & Supply Chain Management: Manage BOMs, focusing on component selection, cost optimization, and lifecycle management. Work closely with procurement and operations to ensure efficient vendor and contract manufacturer relationships. Cross-Functional Collaboration & AI Enablement: Partner with AI/ML and computer vision engineers to ensure hardware meets image quality and power efficiency standards. Collaborate with software and QA teams for system integration and testing. Strategic & Roadmap Leadership: Define the hardware technology roadmap, focusing on electrical architecture and global deployment goals. Act as the primary expert in engineering discussions and lay the foundation for team growth. Quality, Reliability & Compliance: Ensure all hardware meets regulatory requirements and is designed for long-term reliability. Establish robust validation processes for global deployments. Qualifications Required Bachelors or Masters degree in Electrical Engineering or a related field. 1015+ years of hands-on experience in electrical hardware design for solar power systems, camera/imaging electronics, and rugged outdoor devices. Expertise in power electronics, battery management systems, and low-power design for solar applications. Proven experience with camera modules and imaging pipelines for computer vision applications. Strong proficiency in schematic capture and PCB design tools, particularly Altium. Experience with BOM management and collaboration with procurement and manufacturers. Ability to independently lead hardware projects and influence cross-functional teams. Excellent communication skills and experience with mechanical integration requirements. Preferred Experience designing hardware for worldwide deployment, including regulatory compliance. Direct experience with electrical hardware for computer vision or edge AI platforms. Background in smart cities, municipal infrastructure, or related fields. Experience with high-volume outdoor electronic deployments. Patent contributions or experience in driving hardware-related intellectual property. Apply now to lead cutting-edge hardware design initiatives and contribute to revolutionary global solutions.
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. Sr. Manager, Site Reliability Engineer provides strategic leadership across multiple SRE teams and their managers, ensuring alignment with organizational priorities and functional objectives while remaining accountable for performance and results related to observability, automation, and operational excellence across commerce platforms. Develops and executes departmental business, production, and organizational plans, allocating resources to achieve strategic goals. Leverages deep expertise in SRE principles to integrate reliability practices across engineering, security, and business functions, driving resilience and innovation. Influences senior internal and external stakeholders to secure funding, shape technology strategy, and champion reliability best practices. This role sits within the Commerce Site Reliability Engineering organization in Technology & Digital for Disney Experiences. It works closely with leaders across Commerce and Consumer Products to ensure reliability, scalability, and security for critical systems, powering magical Guest experiences. This role will report to the Director of Site Reliability Engineering. What You'll Do Lead & Inspire: Provide strategic leadership for multiple SRE teams, fostering a culture of reliability, automation, and continuous improvement. Drive Operational Excellence: Oversee design and delivery of highly scalable, fault-tolerant systems across cloud (AWS, GCP, Azure) and on-prem environments. Champion Observability: Implement advanced telemetry and monitoring practices, leveraging AI/ML for predictive insights and proactive reliability improvements. Modernize Infrastructure: Guide teams in automating infrastructure and CI/CD pipelines using tools such as Terraform, Ansible, Harness, GitLab, and Kubernetes. Strategic Planning: Develop and execute departmental plans aligned with functional business objectives, ensuring resource optimization and financial integrity. Innovation & Integration: Evaluate emerging technologies and industry trends to inform strategic decisions and maintain competitive advantage. People Leadership: Mentor and develop leaders, set clear OKRs, and promote a diverse and inclusive culture that encourages innovation and belonging. Required Qualifications & Skills: 10+ years of progressive experience in Site Reliability Engineering, Systems Engineering, or related fields, including 4+ years in leadership roles managing multiple teams. Proven ability to implement observability and reliability principles across complex, distributed systems. Expertise in cloud platforms (AWS, GCP, Azure), container orchestration (Kubernetes), and infrastructure-as-code tools (Terraform, CloudFormation). Strong background in CI/CD, automation, and modern DevOps practices. Exceptional communication and leadership skills, with experience influencing senior stakeholders and driving cross-functional initiatives. Comprehensive understanding of how SRE integrates with software development, security, and business operations. Preferred Qualifications Experience in large-scale enterprise environments and familiarity with FAANG-level engineering standards. Knowledge of serverless architectures and advanced container strategies. Demonstrated success in managing organizational transformation and scaling engineering teams. Required Education Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). Advanced degree preferred. The hiring range for this position in Orlando, Florida is $175,000-$215,000 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.
08/06/2026
Full time
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. Sr. Manager, Site Reliability Engineer provides strategic leadership across multiple SRE teams and their managers, ensuring alignment with organizational priorities and functional objectives while remaining accountable for performance and results related to observability, automation, and operational excellence across commerce platforms. Develops and executes departmental business, production, and organizational plans, allocating resources to achieve strategic goals. Leverages deep expertise in SRE principles to integrate reliability practices across engineering, security, and business functions, driving resilience and innovation. Influences senior internal and external stakeholders to secure funding, shape technology strategy, and champion reliability best practices. This role sits within the Commerce Site Reliability Engineering organization in Technology & Digital for Disney Experiences. It works closely with leaders across Commerce and Consumer Products to ensure reliability, scalability, and security for critical systems, powering magical Guest experiences. This role will report to the Director of Site Reliability Engineering. What You'll Do Lead & Inspire: Provide strategic leadership for multiple SRE teams, fostering a culture of reliability, automation, and continuous improvement. Drive Operational Excellence: Oversee design and delivery of highly scalable, fault-tolerant systems across cloud (AWS, GCP, Azure) and on-prem environments. Champion Observability: Implement advanced telemetry and monitoring practices, leveraging AI/ML for predictive insights and proactive reliability improvements. Modernize Infrastructure: Guide teams in automating infrastructure and CI/CD pipelines using tools such as Terraform, Ansible, Harness, GitLab, and Kubernetes. Strategic Planning: Develop and execute departmental plans aligned with functional business objectives, ensuring resource optimization and financial integrity. Innovation & Integration: Evaluate emerging technologies and industry trends to inform strategic decisions and maintain competitive advantage. People Leadership: Mentor and develop leaders, set clear OKRs, and promote a diverse and inclusive culture that encourages innovation and belonging. Required Qualifications & Skills: 10+ years of progressive experience in Site Reliability Engineering, Systems Engineering, or related fields, including 4+ years in leadership roles managing multiple teams. Proven ability to implement observability and reliability principles across complex, distributed systems. Expertise in cloud platforms (AWS, GCP, Azure), container orchestration (Kubernetes), and infrastructure-as-code tools (Terraform, CloudFormation). Strong background in CI/CD, automation, and modern DevOps practices. Exceptional communication and leadership skills, with experience influencing senior stakeholders and driving cross-functional initiatives. Comprehensive understanding of how SRE integrates with software development, security, and business operations. Preferred Qualifications Experience in large-scale enterprise environments and familiarity with FAANG-level engineering standards. Knowledge of serverless architectures and advanced container strategies. Demonstrated success in managing organizational transformation and scaling engineering teams. Required Education Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). Advanced degree preferred. The hiring range for this position in Orlando, Florida is $175,000-$215,000 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.
Date Posted: 2026-06-23 Country: United States of America Location: US-AZ-TUCSON-M E Britannia Dr BRITANNIA M13 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. The Stinger Blk I Missile Production Program's Technical Missile Lead is a technical role responsible for leading a multi-disciplined, geographically dispersed team in the delivery of the Guided Missile Intercept Aerial (GMIA), which is AUR missile. The Technical Missile Lead will frequently interface with internal and external stakeholders, technical subject matter experts, key major suppliers and government customers. The role requires a high level of execution expertise coupled with the ability to lead a high visibility production program. The additional responsibilities of the Technical Missile Lead aspect of the role include ensuring all GMIA related scope across the Stinger Blk I Missile production is executed per proper technical rigor, with a cohesive technical approach and compliant to our execution practices. Occasional Failure Investigations may be conducted to determine the root cause of production issues as well as corrective actions implementation in engineering scope or manufacturing environment. This is an onsite role in Tucson, AZ. What You Will Do Drive execution of work scope as defined in the program schedule and define objectives and technical content for your sub-IPTs (integrated product team) leads Communicate to both RTX and program leadership to provide status, accomplishments, issues, and help needed Provide technical leadership to the Sub-IPTs and many collaborative partners from undefined situations/circumstances Manage the engineering support for the production of a legacy Stinger Blk I missile to deliveries with a challenging schedule Review and/or lead production related Failure Investigations to ensure implementation of proper level of technical rigor and corrective actions Perform data collection activities, including review and analysis of data elements, and provide detailed reports of results Provide technical direction, expertise and review for Technical Data Package (TDP) maintenance Collaborate and effectively communicate with other IPTs, program leadership, customers, and business associates both internal and external to Raytheon Analyzing manufacturing system performance to identify constraints, risks, and improvement opportunities Contributing to strategic roadmaps focused on capacity growth, technology insertion, infrastructure upgrades, obsolescence mitigation, and future capabilities Supporting proposals, business case development, supplier assessments, and Make/Buy/Where analyses Provide mentoring and guidance to team members Collaborate with other IPTs to ensure alignment and coordination of efforts Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 8 years of prior relevant experience Experience managing a multi-disciplined Hardware Engineering Team Experience with technical team and supplier management Experience using program management tools such as Integrated Master Plan (IMP) and Integrated Master Schedule (IMS), and Risk and Opportunity Management to identify issues and develop recommended courses of action to program leadership Qualifications We Prefer Familiarity with Stinger Blk I Production Program Excellent presentation and proposal skills Ability to manage multiple and competing priorities Strong interpersonal and communication skills Ability as an Integrated Product Team Lead (IPTL) to drive technical failure investigations and production resolutions Experience managing supplier development of complex subsystems Advanced Degree in STEM (Science, Technology, Engineering, or Mathematics) Active Secret Clearance (Department of Defense) 4+ years of experience in managing a multi-disciplined Hardware Engineering Team through the product development lifecycle Expert knowledge of multiple work areas typically obtained through advanced education combined with experience What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligible - Relocation assistance available for this position Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
08/06/2026
Full time
Date Posted: 2026-06-23 Country: United States of America Location: US-AZ-TUCSON-M E Britannia Dr BRITANNIA M13 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. The Stinger Blk I Missile Production Program's Technical Missile Lead is a technical role responsible for leading a multi-disciplined, geographically dispersed team in the delivery of the Guided Missile Intercept Aerial (GMIA), which is AUR missile. The Technical Missile Lead will frequently interface with internal and external stakeholders, technical subject matter experts, key major suppliers and government customers. The role requires a high level of execution expertise coupled with the ability to lead a high visibility production program. The additional responsibilities of the Technical Missile Lead aspect of the role include ensuring all GMIA related scope across the Stinger Blk I Missile production is executed per proper technical rigor, with a cohesive technical approach and compliant to our execution practices. Occasional Failure Investigations may be conducted to determine the root cause of production issues as well as corrective actions implementation in engineering scope or manufacturing environment. This is an onsite role in Tucson, AZ. What You Will Do Drive execution of work scope as defined in the program schedule and define objectives and technical content for your sub-IPTs (integrated product team) leads Communicate to both RTX and program leadership to provide status, accomplishments, issues, and help needed Provide technical leadership to the Sub-IPTs and many collaborative partners from undefined situations/circumstances Manage the engineering support for the production of a legacy Stinger Blk I missile to deliveries with a challenging schedule Review and/or lead production related Failure Investigations to ensure implementation of proper level of technical rigor and corrective actions Perform data collection activities, including review and analysis of data elements, and provide detailed reports of results Provide technical direction, expertise and review for Technical Data Package (TDP) maintenance Collaborate and effectively communicate with other IPTs, program leadership, customers, and business associates both internal and external to Raytheon Analyzing manufacturing system performance to identify constraints, risks, and improvement opportunities Contributing to strategic roadmaps focused on capacity growth, technology insertion, infrastructure upgrades, obsolescence mitigation, and future capabilities Supporting proposals, business case development, supplier assessments, and Make/Buy/Where analyses Provide mentoring and guidance to team members Collaborate with other IPTs to ensure alignment and coordination of efforts Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 8 years of prior relevant experience Experience managing a multi-disciplined Hardware Engineering Team Experience with technical team and supplier management Experience using program management tools such as Integrated Master Plan (IMP) and Integrated Master Schedule (IMS), and Risk and Opportunity Management to identify issues and develop recommended courses of action to program leadership Qualifications We Prefer Familiarity with Stinger Blk I Production Program Excellent presentation and proposal skills Ability to manage multiple and competing priorities Strong interpersonal and communication skills Ability as an Integrated Product Team Lead (IPTL) to drive technical failure investigations and production resolutions Experience managing supplier development of complex subsystems Advanced Degree in STEM (Science, Technology, Engineering, or Mathematics) Active Secret Clearance (Department of Defense) 4+ years of experience in managing a multi-disciplined Hardware Engineering Team through the product development lifecycle Expert knowledge of multiple work areas typically obtained through advanced education combined with experience What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligible - Relocation assistance available for this position Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms