25 jobs found

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.

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

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world . Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally . Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. The Data Product team is seeking a Senior Product Manager II to drive measurement strategy and analytics instrumentation across ESPN's portfolio of digital products. The team sits at the intersection of the analytics and business teams who depend on trusted data and the engineering teams who build the systems that produce it - and this role is where those worlds meet. You'll own instrumentation outcomes across ESPN digital products driving measurement strategy, schema design, and end-to-end delivery across web, mobile, and connected TV. The scope runs the full lifecycle: from defining what gets measured and why, through implementation and validation support, to ensuring downstream teams have the reliable, well-documented data they can build on. Own data collection outcomes for ESPN's digital products - accountable for completeness, accuracy, and usability across your instrumentation domain. Define what gets measured, why it matters, and how behavioral signals and event schemas serve analytics, reporting, and experimentation needs. Convert stakeholder questions into precise instrumentation specs - events, parameters, identifiers, schemas - that engineers can implement without ambiguity across platforms. Drive instrumentation from discovery through launch, orchestrating delivery across Product Engineering, Analytics Engineering, QA, and Platform partners. Work directly with engineering to ensure instrumentation is implemented correctly and meets platform standards - the bridge between measurement intent and technical reality. Configure and operate the analytics platform stack hands-on: implementation, maintenance, and optimization to support reliable, self-service analysis. Proactively identify instrumentation gaps and drive resolution through sharper specs, stronger validation, and tight coordination with engineering and QA. Use data to audit tagging and tracking health, surface improvement opportunities, and shape future measurement decisions. Mentor peer PMs and share instrumentation expertise across the team. You bring deep technical fluency in data collection and instrumentation, strong judgment about what measurement actually matters, and the communication skills to align engineers, analysts, and business leaders. You hold yourself to a standard of data quality that makes the difference between insights organizations trust and data they work around. Basic Qualifications 7 years or more in analytics instrumentation, data product management, or analytics engineering - with a track record of owning outcomes, not just executing tasks Deep hands-on experience designing event-based data models and instrumentation schemas across web, mobile, and connected TV - including event taxonomies, parameter design, identifier strategies, and implementable data contracts Ability to translate ambiguous business questions into precise instrumentation specifications - closing the gap between what stakeholders need to know and what engineers build SQL fluency and hands-on experience in cloud data platforms (Snowflake, Databricks, BigQuery , or equivalent) to validate data quality, investigate anomalies, and own your analysis Experience configuring and operating enterprise analytics platforms at scale - owning implementation, validation, and maintenance, not just strategy Proven ability to orchestrate cross-functional instrumentation delivery across Product Engineering, Analytics, QA, and platform partners A bias for action and an ownership mindset: you solve problems end-to-end and are equally comfortable debugging a data issue and presenting measurement strategy to senior leadership You use AI-enabled tools as a genuine force multiplier - this is how you work, not a skill you're developing Clear, crisp communication: precise technical specs, accessible explanations of instrumentation tradeoffs for non-technical stakeholders, and the ability to influence across engineering, product and analytics Preferred Qualifications Experience with sports, media, or direct-to-consumer digital products at scale Hands-on experience implementing solutions from Adobe's Customer Experience (CX) Analytics suite - Adobe Analytics, Customer Journey Analytics, or Adobe Experience Platform - at enterprise scale Expert understanding of media industry measurement solutions (Nielsen, Comscore ) and how they're implemented and integrated within a major media organization Familiarity with event-driven architectures or streaming data infrastructure and their connection to downstream analytics Experience enabling self-service analytics at scale through standardized metrics frameworks, reporting taxonomies, or dashboarding solutions Working knowledge of data governance, privacy, and consent frameworks (GDPR, CCPA) and their practical implications for instrumentation design Required Education Bachelor's degree in computer science, Engineering, Business, Analytics, or related field, or equivalent practical experience. The hiring range for this position in Bristol, CT is $155,700 - $208,700 and New York City, NY is $163,100 - $218,700 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems. 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. Role Overview The Content Platform Engineering team is responsible for the early lifecycle of media playback, facilitating systems for content title origination and greenlighting, distribution planning, metadata management, localization, and scheduling across platforms. We also drive the consolidation and automation of duplicative tooling across Disney's multiple acquisitions to continually improve the way we deliver media. As a Senior Software Engineer on this team, you will: Define platform capabilities, designing and implementing a diverse suite of products and services that advance Disney's media supply chain. Innovate a world class content platform to support content delivery for brands such as Disney plus, ESPN+, Hulu, ABC, Marvel and Star Wars, powering the some of the most watched entertainment content Responsibilities: Building scalable, maintainable, and well-tested software solutions which are flexible to meet the requirements of multiple customers and stakeholders. Collaborate with other software engineers and cross-functional teams Work independently to design, build, test, and deploy high quality software solutions Provide technical guidance and evangelize best practices. Maintain a deep understanding of our core systems and how they interact with upstream and downstream dependencies. Contribute and review code, set standards, and work with engineers to ensure product and design specifications are met Responsible for fundamental platform performance, scalability, and resiliency Partner with stakeholders to refine requirements, and propose solutions to problems that span multiple teams Contribute to cross-functional troubleshooting of complex issues as needed Troubleshoot issues and fix defects Mentor junior engineers and conduct code reviews Basic Qualifications BS Computer Science or related technical discipline or its equivalent 5+ years related experience designing backend architectures and delivering backend applications in a production environment. Experience with common backend technologies such as Java, GraphQL, REST APIs, microservice architectures, async programming Experience with Spring Framework Experience with architecture and delivery of high volume, cached, fault tolerant, multi-threaded scalable systems Experience with a wide range of data store technologies such as MongoDB, Redis, Elasticsearch, Postgres, and DynamoDB Experience with Cloud-based technologies such as AWS Lambda, EC2, S3, SQS, Step Functions, and Fargate Experience with build and deployment technologies such as Docker, Gitlab-CI, Terraform/Cloud formation, and Jenkins Experience in Agile/Scrum methodology Team player with strong oral and written communications skills Motivated self-starter with the ability to learn and adapt to new technologies Expertise with full lifecycle of application development, including best practices of unit testing, code reviews, documentation, etc. Strong communication skills and attention to detail Preferred Qualifications Previous work experience in media distribution Experience working with vendor teams to deliver high quality results Knowledge of performance testing and application profiling Strong curiosity about how Disney delivers the Magic and a desire to be a part of it Expert in Java Expert in AWS, Azure, or GCP The hiring range for this position in Glendale, CA is $141,900 to $190,300 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

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

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Commerce, Data & Identity provides the core product management functions for areas crucial to Disney's media businesses. These include initiatives and products that power digital commerce, identity, and growth, as well as those that reach uniquely across The Walt Disney Company enterprise, such as messaging and privacy, among others. Additionally, it is responsible for the data engineering, science, and products for Disney Entertainment & ESPN, along with their interconnection with other parts of The Walt Disney Company. The Subscriptions team is looking to expand our team in the NYC office. We are a dynamic team of engineers that support all your Disney, ESPN and Hulu subscriptions at scale! We solve problems at internet-scale that only a handful of teams ever reach. We are seeking a highly skilled and motivated Senior Software Engineer to join our dynamic engineering team. In this role, you will be responsible for designing, developing, and deploying scalable and efficient software solutions using Functional Programming Style Scala and other backend languages. You will work with cutting-edge technologies in cloud computing, containerization, distributed systems, and observability. The ideal candidate should have a strong background in full-stack development, modern DevOps practices, and experience working with cloud-native technologies such as AWS and Kubernetes. Responsibilities Development: Design, develop, and maintain scalable, secure, and efficient software applications using Scala and other backend languages. Cloud Infrastructure: Utilize AWS services (CFN, EC2, Lambda, S3, Dynamo, etc.) to deploy and manage applications in the cloud. Containerization & Orchestration: Implement containerized solutions using Docker, deploy and manage services on Kubernetes. Distributed Systems: Design and build distributed systems that are fault-tolerant, highly available, and scalable. Understand concepts such as event-driven architecture, microservices, and data consistency. Observability & Monitoring: Implement and maintain observability best practices, including tagging, metrics, and logging to provide comprehensive visibility into system performance. Use tools like Datadog to monitor the health and performance of applications in real-time. Collaboration: Work closely with cross-functional teams including product managers, UI/UX designers, and DevOps engineers to define requirements, design systems, and deliver features. Code Quality & Best Practices: Write clean, maintainable, and testable code while following best practices for software development. Perform code reviews and provide mentorship to junior engineers on and offshore. Problem-Solving & Innovation: Tackle complex technical challenges and continuously seek opportunities to improve system performance, scalability, and reliability.AI Best Practices: Follow team's best practices regarding the safe use of LLMs and suggest improvements as appropriate. Basic Qualifications Degree in Computer Science, Electrical Computer Engineering or similar field. 5+ years of experience in software development, with a focus on Functional Programming Scala stacks. Hands-on experience with AWS cloud services and Kubernetes for container orchestration. Strong understanding of RESTful APIs, Microservices Architecture, and Event-Driven Architecture. Strong problem-solving skills, attention to detail, and the ability to work in a collaborative, fast-paced environment. Experience with: - Functional Programming Languages - Scala (preferred) using ZIO, Cats, Cats Effect - Others considered - Modern RX Java, Kotlin, Clojure/Lisp, Haskell, OCaml, Elm, Typescript Effect AWS, Cloudformation, Terraform or similar technologies. Experience in Istio and Spinnaker Full software development lifecycle experience - including maintenance after release. Experience in Agile software development practices and version control systems (e.g., Git, Jira) Preferred Qualifications Solid understanding of distributed systems and how to design and scale them. Proficiency with CI/CD pipelines and modern development tools. Experience in building observability solutions using tools like Datadog, including tagging, metrics, and logging. The hiring range for this position in New York, NY is $148,700 to $199,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. 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: The Content Product & Operations team is looking for a Senior Software Engineer that will drive the design and implementation of our next generation temporal and descriptive metadata tagging platform. As a Senior Software Engineer, you will be expected to develop backend solutions in a dynamic, rapidly changing environment using your technical skill sets, working with product managers and team leads to deliver high quality products that are scalable and robust. You will be expected to work closely on solutions with peers in a cross-functional environment to ensure we are delivering high quality products that align to the larger business initiatives within the digital media supply chain that support Disney's TV, broadcast, theatrical, and direct -to-consumer lines of business. Responsibilities: Develop, test, & deploy high quality application code. Provide technical guidance and evangelize best practices Contribute and review code, set standards, and work with engineers to ensure product and design specifications are met Responsible for fundamental platform performance, scalability, and resiliency Partner with stakeholders to refine requirements, and propose solutions to problems that span multiple teams Mentor junior engineers on the team Basic Qualifications: Minimum of 5 years of related software development experience Bachelor's or Master's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Motivated self-starter with the ability to learn and adapt to new technologies. Can effectively articulate complex ideas and influence others through well-reasoned explanations Enjoy working within a team setting of engineers of varying experience Strong communication skills and attention to detail Comfortable working in a geographically distributed team. Preferred Qualifications: Previous work experience in temporal and descriptive video tagging/ad marking Knowledge of performance testing, application profiling, Java heap and thread dump analysis Knowledge of video, audio, and subtitle formats, codecs, wrappers, and usages. Knowledge of media standards and specifications such as SMPTE The hiring range for this position in Los Angeles, CA and Bristol, CT is $141,900 to $190,300 per year, and in New York, NY is $148,700 to $199,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: 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 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. Media Engineering is an innovative organization that is focused on providing the best possible video playback experience, art, and metadata to customers around the world, powered by exceptional technology. This strategic work requires streamlining and repurposing technology across different business and distribution channels - including streaming, linear, and theatrical - so that technology can ebb and flow across the needs of the business. The Quality, Targeting, and Experience team develops automated feedback loops that drive how videos are delivered to customers for Disney Streaming's suite of streaming services, including Disney+, ESPN+, Hulu, and more. We balance the needs of our business strategy with the demands of an evolving internet to provide the highest possible quality of experience directly to consumers in the form of pristine, error-free streaming media. We also develop robust data pipelines that calculate and report the quality of experience that our customers receive so that we can continually improve the way we deliver media. As a Senior Software Engineer on this team, there will be opportunities to collaborate with a varied team of data engineers, other software engineers, researchers, data scientists, product managers and more, as well as to provide leadership by example to other developers on the team and in the organization. Responsibilities Work with a team building high-performance, stable, scalable software Participate in the code review process by providing feedback on pull requests Participate in the on-call rotation, supporting systems and services during production incidents Basic Qualifications Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related field (or equivalent work experience). 5+ years of experience designing and delivering backend architectures in a production environment, with a strong understanding of design patterns and best practices. Experienced in building and maintaining data-intensive applications, bridging the gap between services and data teams to align architectural design with implementation. Experience building RESTful and/or gRPC services to facilitate communication between distributed components. Proficient in at least one programming language: Scala, Java, Go, or Python. Familiar with AWS, CI/CD pipelines, and Kubernetes. Proficient in observability and data tools (Datadog, Splunk, Grafana, Databricks) to monitor system health, data pipeline integrity, and algorithmic performance. Self-motivated, independent, and excellent at problem-solving, with strong verbal and written communication skills. Ability to mentor less experienced developers and lead cross-functional initiatives. Preferred Qualifications Experience designing and operating large-scale, high-availability distributed systems and JVM-based applications. Knowledge of functional programming patterns and their application in data processing. Hands-on experience with messaging technologies (e.g., Kinesis, SQS) Experience with stream processing frameworks like Flink or Spark Familiarity with CDN technologies. Interest in video streaming and internet networking. The hiring range for this position in New York, NY is $148,700 to $199,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. 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. This role involves building and maintaining our Identity Householding Data products . These products serve as a comprehensive source of truth for enterprise-wide customer identifiers and their groupings. The role requires expert knowledge of building scalable, fault-tolerant data processing pipelines and backend to ensure the reliable delivery of both real-time and batch data. Responsibilities: Build and maintain product-driven initiatives to improve and expand Identity and Device data product offerings Enhance/improve the underlying codebase to be extensible, reusable, and maintainable. Increase unit test coverage on the existing codebase. Enhance/redesign existing data models with input from Architecture in order to modernize products and/or improve performance and efficiency, and decrease costs. Promote and support Agile methodologies such as Scrum, Kanban, and Scrumban by actively participating in regular ceremonies such as stand-up, retrospectives and sprint planning. Collaborate with your squad, Product Managers, Designers, QA, Operations, and other stakeholders to understand requirements and articulate technical decisions and outcomes. Participate in on-call support Participate in code reviews and problem-solving. Basic Qualifications: Bachelor's degree in Computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience. 5+ years of related big data engineering experience modeling and developing large data pipelines Hands-on experience with distributed systems such as Databricks compute using tools/libraries such as Spark, Presto, Hive to query and process large datasets at the petabyte level. Strong Python, Scala/Spark and SQL skills processing big datasets Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Big Query, Databricks) Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices Operational experience in multi-system/services production environment as point-of-contact / SME Problem solving skills with strong attention to detail and excellent analytical and communication skills Solid experience with data integration and orchestration toolsets (e.g. Airflow), CI/CD Solid experience with AWS S3 Preferred Qualifications: Demonstrated ability with cloud infrastructure technologies, including Terraform. Understanding of householding algorithms and third-party data enrichment tools. The hiring range for this position in San Francisco is $155,400 - $208,400 per year, Santa Monica, CA is $141,900 - $190,300 per year and Seattle is $148,700 - $199,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. 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: The Content Product & Operations team is looking for a Senior Software Engineer that will drive the design and implementation of our next generation temporal and descriptive metadata tagging platform. As a Senior Software Engineer, you will be expected to develop backend solutions in a dynamic, rapidly changing environment using your technical skill sets, working with product managers and team leads to deliver high quality products that are scalable and robust. You will be expected to work closely on solutions with peers in a cross-functional environment to ensure we are delivering high quality products that align to the larger business initiatives within the digital media supply chain that support Disney's TV, broadcast, theatrical, and direct -to-consumer lines of business. Responsibilities: Develop, test, & deploy high quality application code. Provide technical guidance and evangelize best practices Contribute and review code, set standards, and work with engineers to ensure product and design specifications are met Responsible for fundamental platform performance, scalability, and resiliency Partner with stakeholders to refine requirements, and propose solutions to problems that span multiple teams Mentor junior engineers on the team Basic Qualifications: Minimum of 5 years of related software development experience Bachelor's or Master's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Motivated self-starter with the ability to learn and adapt to new technologies. Can effectively articulate complex ideas and influence others through well-reasoned explanations Enjoy working within a team setting of engineers of varying experience Strong communication skills and attention to detail Comfortable working in a geographically distributed team. Preferred Qualifications: Previous work experience in temporal and descriptive video tagging/ad marking Knowledge of performance testing, application profiling, Java heap and thread dump analysis Knowledge of video, audio, and subtitle formats, codecs, wrappers, and usages. Knowledge of media standards and specifications such as SMPTE The hiring range for this position in Los Angeles, CA and Bristol, CT is $141,900 to $190,300 per year, and in New York, NY is $148,700 to $199,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. 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. This role involves building and maintaining our Identity Householding Data products . These products serve as a comprehensive source of truth for enterprise-wide customer identifiers and their groupings. The role requires expert knowledge of building scalable, fault-tolerant data processing pipelines and backend to ensure the reliable delivery of both real-time and batch data. Responsibilities: Build and maintain product-driven initiatives to improve and expand Identity and Device data product offerings Enhance/improve the underlying codebase to be extensible, reusable, and maintainable. Increase unit test coverage on the existing codebase. Enhance/redesign existing data models with input from Architecture in order to modernize products and/or improve performance and efficiency, and decrease costs. Promote and support Agile methodologies such as Scrum, Kanban, and Scrumban by actively participating in regular ceremonies such as stand-up, retrospectives and sprint planning. Collaborate with your squad, Product Managers, Designers, QA, Operations, and other stakeholders to understand requirements and articulate technical decisions and outcomes. Participate in on-call support Participate in code reviews and problem-solving. Basic Qualifications: Bachelor's degree in Computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience. 5+ years of related big data engineering experience modeling and developing large data pipelines Hands-on experience with distributed systems such as Databricks compute using tools/libraries such as Spark, Presto, Hive to query and process large datasets at the petabyte level. Strong Python, Scala/Spark and SQL skills processing big datasets Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Big Query, Databricks) Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices Operational experience in multi-system/services production environment as point-of-contact / SME Problem solving skills with strong attention to detail and excellent analytical and communication skills Solid experience with data integration and orchestration toolsets (e.g. Airflow), CI/CD Solid experience with AWS S3 Preferred Qualifications: Demonstrated ability with cloud infrastructure technologies, including Terraform. Understanding of householding algorithms and third-party data enrichment tools. The hiring range for this position in San Francisco is $155,400 - $208,400 per year, Santa Monica, CA is $141,900 - $190,300 per year and Seattle is $148,700 - $199,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. 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. This role involves building and maintaining our Identity Householding Data products . These products serve as a comprehensive source of truth for enterprise-wide customer identifiers and their groupings. The role requires expert knowledge of building scalable, fault-tolerant data processing pipelines and backend to ensure the reliable delivery of both real-time and batch data. Responsibilities: Build and maintain product-driven initiatives to improve and expand Identity and Device data product offerings Enhance/improve the underlying codebase to be extensible, reusable, and maintainable. Increase unit test coverage on the existing codebase. Enhance/redesign existing data models with input from Architecture in order to modernize products and/or improve performance and efficiency, and decrease costs. Promote and support Agile methodologies such as Scrum, Kanban, and Scrumban by actively participating in regular ceremonies such as stand-up, retrospectives and sprint planning. Collaborate with your squad, Product Managers, Designers, QA, Operations, and other stakeholders to understand requirements and articulate technical decisions and outcomes. Participate in on-call support Participate in code reviews and problem-solving. Basic Qualifications: Bachelor's degree in Computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience. 5+ years of related big data engineering experience modeling and developing large data pipelines Hands-on experience with distributed systems such as Databricks compute using tools/libraries such as Spark, Presto, Hive to query and process large datasets at the petabyte level. Strong Python, Scala/Spark and SQL skills processing big datasets Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Big Query, Databricks) Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices Operational experience in multi-system/services production environment as point-of-contact / SME Problem solving skills with strong attention to detail and excellent analytical and communication skills Solid experience with data integration and orchestration toolsets (e.g. Airflow), CI/CD Solid experience with AWS S3 Preferred Qualifications: Demonstrated ability with cloud infrastructure technologies, including Terraform. Understanding of householding algorithms and third-party data enrichment tools. The hiring range for this position in San Francisco is $155,400 - $208,400 per year, Santa Monica, CA is $141,900 - $190,300 per year and Seattle is $148,700 - $199,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world . Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally . Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. The Data Product team is seeking a Senior Product Manager II to drive measurement strategy and analytics instrumentation across ESPN's portfolio of digital products. The team sits at the intersection of the analytics and business teams who depend on trusted data and the engineering teams who build the systems that produce it - and this role is where those worlds meet. You'll own instrumentation outcomes across ESPN digital products driving measurement strategy, schema design, and end-to-end delivery across web, mobile, and connected TV. The scope runs the full lifecycle: from defining what gets measured and why, through implementation and validation support, to ensuring downstream teams have the reliable, well-documented data they can build on. Own data collection outcomes for ESPN's digital products - accountable for completeness, accuracy, and usability across your instrumentation domain. Define what gets measured, why it matters, and how behavioral signals and event schemas serve analytics, reporting, and experimentation needs. Convert stakeholder questions into precise instrumentation specs - events, parameters, identifiers, schemas - that engineers can implement without ambiguity across platforms. Drive instrumentation from discovery through launch, orchestrating delivery across Product Engineering, Analytics Engineering, QA, and Platform partners. Work directly with engineering to ensure instrumentation is implemented correctly and meets platform standards - the bridge between measurement intent and technical reality. Configure and operate the analytics platform stack hands-on: implementation, maintenance, and optimization to support reliable, self-service analysis. Proactively identify instrumentation gaps and drive resolution through sharper specs, stronger validation, and tight coordination with engineering and QA. Use data to audit tagging and tracking health, surface improvement opportunities, and shape future measurement decisions. Mentor peer PMs and share instrumentation expertise across the team. You bring deep technical fluency in data collection and instrumentation, strong judgment about what measurement actually matters, and the communication skills to align engineers, analysts, and business leaders. You hold yourself to a standard of data quality that makes the difference between insights organizations trust and data they work around. Basic Qualifications 7 years or more in analytics instrumentation, data product management, or analytics engineering - with a track record of owning outcomes, not just executing tasks Deep hands-on experience designing event-based data models and instrumentation schemas across web, mobile, and connected TV - including event taxonomies, parameter design, identifier strategies, and implementable data contracts Ability to translate ambiguous business questions into precise instrumentation specifications - closing the gap between what stakeholders need to know and what engineers build SQL fluency and hands-on experience in cloud data platforms (Snowflake, Databricks, BigQuery , or equivalent) to validate data quality, investigate anomalies, and own your analysis Experience configuring and operating enterprise analytics platforms at scale - owning implementation, validation, and maintenance, not just strategy Proven ability to orchestrate cross-functional instrumentation delivery across Product Engineering, Analytics, QA, and platform partners A bias for action and an ownership mindset: you solve problems end-to-end and are equally comfortable debugging a data issue and presenting measurement strategy to senior leadership You use AI-enabled tools as a genuine force multiplier - this is how you work, not a skill you're developing Clear, crisp communication: precise technical specs, accessible explanations of instrumentation tradeoffs for non-technical stakeholders, and the ability to influence across engineering, product and analytics Preferred Qualifications Experience with sports, media, or direct-to-consumer digital products at scale Hands-on experience implementing solutions from Adobe's Customer Experience (CX) Analytics suite - Adobe Analytics, Customer Journey Analytics, or Adobe Experience Platform - at enterprise scale Expert understanding of media industry measurement solutions (Nielsen, Comscore ) and how they're implemented and integrated within a major media organization Familiarity with event-driven architectures or streaming data infrastructure and their connection to downstream analytics Experience enabling self-service analytics at scale through standardized metrics frameworks, reporting taxonomies, or dashboarding solutions Working knowledge of data governance, privacy, and consent frameworks (GDPR, CCPA) and their practical implications for instrumentation design Required Education Bachelor's degree in computer science, Engineering, Business, Analytics, or related field, or equivalent practical experience. The hiring range for this position in Bristol, CT is $155,700 - $208,700 and New York City, NY is $163,100 - $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.

Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation . click apply for full job details

Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation . click apply for full job details

GIS & Data Specialist 1 Montgomery & Associates (M&A) is seeking a GIS & Data Specialist to join our growing team at our Tucson, Arizona, headquarters. This position will provide general, entry-level technical support to hydrologic projects, as well as assist with GIS data production and project deliverables including data compilation, data management and editing, data analysis, quality assurance, and cartographic services, which will be a priority. The GIS & Data Specialist 1 will also be part of an active team responsible for the implementation of web-based data applications and database management related to the company's custom data management system. This position is intended to be full-time, with flexibility that may allow for a reduced work week. We encourage you to apply if you have experience with ESRI's ArcGIS software products-including ArcGIS Pro-and online mapping and data collection applications. We're looking for a self-motivated professional capable of implementing existing cartographic styles, data management schemas, and workflows, as well as developing new solutions independently as needed to meet project needs. Responsibilities Specific responsibilities include: Develop report-quality maps in ArcGIS Pro and other data plots, using company style guidelines Create and manage geospatial datasets, geodatabases, and relational databases Coordinate with project teams regarding GIS requirements and deliverables Conduct geospatial data analysis for projects Provide support for M&A's custom data management system, including data entry and data management for projects Support mobile data collection activities using Esri field applications (Field Maps, Survey123) Create and maintain web-based maps and applications using ArcGIS Online and customized applications Use artistic judgment to select appropriate design and layout for each illustration Perform other related duties as assigned Qualifications Ability to render illustrations for client-facing deliverables Ability to accurately and consistently complete work on schedule and with minimal supervision Ability to communicate and function in a fast paced, team-oriented environment Sufficient understanding of science to successfully create illustrations related to groundwater hydrology Excellent interpersonal and organizational skills Good analytical and problem-solving skills Academic degree in GIS, computer science, or related discipline Fundamental knowledge of the principles, methods, and practical application of ESRI's ArcGIS software-including ArcGIS Pro-general geoprocessing functionality, geodatabases, and coordinate systems Good practical understanding of data management in relational and geospatial databases At M&A, our mission is to promote a fulfilling and respectful work culture where employees collaborate to deliver pragmatic water resource solutions grounded in the principles of integrity, scientific rigor, and environmental responsibility. We are independently owned by practicing scientists who are committed to these values and to supporting our community partners. Benefits include: Competitive benefits and salary in an expanding team-oriented company Dynamic work environment with technical training provided by the company Challenging and collaborative multidisciplinary projects On the job mentoring by senior professionals Medical, dental, vision insurance, flexible Spending Account, HRA Long- and short-term disability Life/AD&D insurance Vacation, holiday, personal, and sick leave Paid parental leave Employer matching 401k retirement plan We are an Equal Opportunity Employer. M&A values diversity and inclusivity. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, gender, gender identity, gender expression, age, sexual orientation, religious creed, physical or mental disability, medical condition, genetic information, marital status, veteran status, or any other classification protected by applicable federal, state, or local law. PI809cb003ee03-0007

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Strategic Data Scientist at CoverMyMeds makes a meaningful contribution to the success of our company. This role contributes to value proposition refinement and supports key customer teams by providing world-class analytics and insight into our vast store of live data. The SDS will focus on maximizing time spent on high-value, client-impacting insights by prioritizing work that directly drives commercial outcomes. This position collaborates extensively with business units and channels across the company and supports the business goals of external clients. Our ideal candidate is curious, thrives in a changing environment, and turns data into clear, actionable insights for customers and colleagues: Build trusted relationships with CSTs and external clients by using data stories to demonstrate the value of CMM products. Deliver proactive analyses of portfolio performance, customer needs, and business risks or opportunities, including market and industry events. Apply statistical methods and predictive modeling to analyze product data, identify drivers, and forecast outcomes. Monitor portfolio health, provide stakeholder updates and business reviews, and escalate issues as needed. Present clear, actionable insights through concise client-facing visuals and recommendations. Identify opportunities to improve product value and analytical efficiency. Support complex client requests and issue escalations in partnership with account teams. Contribute insights that inform strategic and tactical decisions across competitive positioning, product design, analytics, and operations. Develop expertise in CoverMyMeds, the pharmaceutical industry, and the business context of supported accounts. Priority will be given to candidates who live in the Columbus, OH metropolitan area We are unable to provide sponsorship for this role presently or in the future. Critical Skills and Minimum Qualification BA/BS degree or equivalent experience in data analytics, business, public health, or related field; healthcare experience strongly preferred. 5-7 years of experience in an analytics role in healthcare/Pharma industry preferred. Understanding of data science methodologies including decision trees, multivariate analysis, segmentation modeling, factor analysis, regression analysis, forecasting, machine learning, etc. Experience or understanding of statistical software (PYTHON, R, MATLAB, SAS, etc.) Curious problem solver by nature; able to quickly make sense of complex data issues. Driven, self-motivated, team player adept at working in environment with competing priorities. Experience with data mining, analysis, and providing insights. Adept at creating queries, writing reports, and presenting findings. Intermediate to Advanced proficiency in SQL. Intermediate to Advanced proficiency in data visualization tools e.g., Excel, Tableau, etc. Able to communicate and manage expectations. Preferred Skills Industry Expertise - Specifically in Insurance, Pharmaceutical, or Healthcare. Collaboration - Key success factors in this role include leading without direct authority, building relationships across multiple functions, and listening to input and perspectives from across the organization, customers, and industry stakeholders. Passion - The candidate should have a passion for improving US healthcare and a desire to join a team that focuses every day on enabling healthier lives through the work that we do. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $108,800 - $181,300 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Operations Research Scientist role is responsible for architecting and implementing simulation and optimization products to enhance the efficiency and effectiveness of McKesson's supply chain operations as part of the Operations Research group within the Enterprise Data Science Team. Our team applies data science and operations research methodologies to interdisciplinary business problems across Supply Chain Operations. This position will work on strategic in-flight use cases around inventory optimization and upcoming use cases around transportation and network modelling. The candidate should possess the ability to develop statistical models and derive business insights that are required to drive innovation at McKesson. The candidate should also be an active learner able to grasp and apply new analytic approaches. Position Description The purpose of this position is to architect, implement, drive adoption, and measure the impact of innovative stochastic process simulation and optimization solutions at McKesson, as well as make significant improvements to existing solutions. Primary Analytic Responsibilities: Develop and apply digital twins and simulation/optimization frameworks to aid decision making across supply chain areas such as inventory, transportation, and labor planning. Ability to translate simulation and optimization outputs into concrete recommendations to business partners. Minimum Requirements -Degree or equivalent and typically requires 7+ years of relevant experience Critical Skills and Expertise Demonstrated experience in developing stochastic process simulations to guide business decisions across inventory, transportation, or other supply chain related fields Strong foundation in probability and statistics, including random variables, probability distributions, hypothesis testing, regression, and modern machine learning methods. Demonstrated experience in data wrangling problems leveraging SQL Experience with statistical modeling in Python and/or R Experience in communicating results to technical leaders and non-technical executive audiences Additional Preferred Skills Experience with commercial or open source optimization solvers (e.g., CPLEX, Gurobi, Xpress, CBC, GLPK). Familiarity with reinforcement learning or approximate dynamic programming techniques. Experience developing dashboards, applications, or decision support tools that expose model outputs to business users. Exposure to financial modeling, cost optimization, or pricing analytics. Experience working in modern data and ML platforms such as Databricks, Snowflake, and Azure ML. Candidate must be authorized to work in the U.S, now or in the future, without the support from McKesson. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $136,300 - $227,100 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!