Disney Entertainment and ESPN Product & Technology
Santa Monica, California
Disney Entertainment & ESPN Technology On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future. Whether that's evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. A few reasons why we think you'd love working here: Building the future of Disney's media business: DE&E Technologists are designing and building the infrastructure that will power Disney's media, advertising, and distribution businesses for years to come. Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day - from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. Media Engineering Media Engineering is an innovative organization that is focused on providing the best possible video playback experience, art, and metadata to customers around the world, powered by exceptional technology. This strategic work requires streamlining and repurposing technology across different business and distribution channels - including streaming, linear, and theatrical - so that technology can ebb and flow across the needs of the business. Disney Entertainment and ESPN Technology is looking for a Software Engineer to join the Media Security team within the Playback Services, Media Engineering organization! Our mission is to build highly available, high throughput services that are crucial to delivering high quality content to our subscribers. We are responsible for the backend of media rights services for facilitating playback and antipiracy technologies. If you enjoy streaming media, digital rights management, are interested in live sports and entertainment, or just want to join a fast-growing team that plays a significant role in the core functionality of our streaming products, then this role is for you! Responsibilities Write code, complete programming tasks, write tests, perform testing, and debug code for backend services within a team building high-performance, scalable systems Contribute to developing specifications for assigned components, projects, and fixes, and participate in architecture discussions and code reviews to uphold team quality standards Support owned software throughout its lifecycle, performing technical maintenance, troubleshooting, and maintaining documentation Participate in the on-call rotation, learning to support systems and services during production incidents Collaborate with team members and relevant personnel across the organization to deliver features and resolve issues within the team's domain Basic Qualifications Bachelor's degree in Computer Science, Information Systems, Software Engineering, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Minimum of 3 years related experience delivering backend applications in a production environment. Familiarity with operating high-availability backend services and JVM services Working knowledge of functional programming patterns and experience contributing to RESTful services (Scala APIs) Familiarity with async programming models (events, callbacks, promises, async/await) and threading/concurrency Understanding of computer science fundamentals (data structures, algorithms, databases, etc.) and developing knowledge of design patterns and principles Exposure to a Public Cloud Provider (e.g., AWS, Microsoft Azure, Google Cloud) Understanding of source control concepts and systems, CI/CD pipelines and exposure to Git Familiarity with build and deployment technologies such as Jenkins and Docker. Exposure to messaging technologies (e.g., Kafka, Kinesis, SQS, etc.) Familiarity with observability tools for metrics, logging, and monitoring (e.g., Datadog, Splunk, Grafana) Awareness of caching technologies Knowledge of AGILE/Scrum practices. Good written and verbal communication skills. Eager to learn, developing problem-solving skills with a collaborative mindset The hiring range for this position in New York, NY is $123,000 - $165,000 per year and in Santa Monica, CA, $117,500 - $157,500. 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.
07/28/2026
Full time
Disney Entertainment & ESPN Technology On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future. Whether that's evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. A few reasons why we think you'd love working here: Building the future of Disney's media business: DE&E Technologists are designing and building the infrastructure that will power Disney's media, advertising, and distribution businesses for years to come. Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day - from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. Media Engineering Media Engineering is an innovative organization that is focused on providing the best possible video playback experience, art, and metadata to customers around the world, powered by exceptional technology. This strategic work requires streamlining and repurposing technology across different business and distribution channels - including streaming, linear, and theatrical - so that technology can ebb and flow across the needs of the business. Disney Entertainment and ESPN Technology is looking for a Software Engineer to join the Media Security team within the Playback Services, Media Engineering organization! Our mission is to build highly available, high throughput services that are crucial to delivering high quality content to our subscribers. We are responsible for the backend of media rights services for facilitating playback and antipiracy technologies. If you enjoy streaming media, digital rights management, are interested in live sports and entertainment, or just want to join a fast-growing team that plays a significant role in the core functionality of our streaming products, then this role is for you! Responsibilities Write code, complete programming tasks, write tests, perform testing, and debug code for backend services within a team building high-performance, scalable systems Contribute to developing specifications for assigned components, projects, and fixes, and participate in architecture discussions and code reviews to uphold team quality standards Support owned software throughout its lifecycle, performing technical maintenance, troubleshooting, and maintaining documentation Participate in the on-call rotation, learning to support systems and services during production incidents Collaborate with team members and relevant personnel across the organization to deliver features and resolve issues within the team's domain Basic Qualifications Bachelor's degree in Computer Science, Information Systems, Software Engineering, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Minimum of 3 years related experience delivering backend applications in a production environment. Familiarity with operating high-availability backend services and JVM services Working knowledge of functional programming patterns and experience contributing to RESTful services (Scala APIs) Familiarity with async programming models (events, callbacks, promises, async/await) and threading/concurrency Understanding of computer science fundamentals (data structures, algorithms, databases, etc.) and developing knowledge of design patterns and principles Exposure to a Public Cloud Provider (e.g., AWS, Microsoft Azure, Google Cloud) Understanding of source control concepts and systems, CI/CD pipelines and exposure to Git Familiarity with build and deployment technologies such as Jenkins and Docker. Exposure to messaging technologies (e.g., Kafka, Kinesis, SQS, etc.) Familiarity with observability tools for metrics, logging, and monitoring (e.g., Datadog, Splunk, Grafana) Awareness of caching technologies Knowledge of AGILE/Scrum practices. Good written and verbal communication skills. Eager to learn, developing problem-solving skills with a collaborative mindset The hiring range for this position in New York, NY is $123,000 - $165,000 per year and in Santa Monica, CA, $117,500 - $157,500. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Disney Entertainment and ESPN Product & Technology
Seattle, Washington
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 Observability & Insights group ensures that Disney Streaming's distributed systems are reliable, performant, and transparent. We build the telemetry, dashboards, alerting, insights pipelines, and developer experience tooling that enable engineers across the organization to understand system health and take action quickly. Job Summary: As a Software Engineer II, you will design and build intelligent, AI driven systems that enhance the reliability and performance of Disney's large scale streaming ecosystem. You will develop agentic systems, machine learning models, and real-time pipelines that transform telemetry, logs, and user signals into automated detection, root cause analysis, and proactive insights. In this role, you will contribute to the development of autonomous agents capable of reasoning over complex system behavior, identifying issues in real time, and driving faster detection and resolution across Disney+, Hulu, and ESPN. You will partner closely with engineering, product, and platform teams to embed intelligence directly into operational workflows, improving system resilience and customer experience at scale. You will deliver high quality features end-to-end and contribute to system design and code reviews and begin owning components of production systems within a fast paced, AI native engineering environment. Responsibilities: Design and operate intelligent, production-grade systems that leverage real-time signals and AI-driven detection to improve the health of streaming platforms, critical services, and customer experience Build and scale AI-driven capabilities including agentic AI systems powered by modern foundation models (e.g. Claude Opus/Sonnet, GPT-4) enabling automated reasoning and decisioning, as well as predictive modeling and anomaly detection for real-time system health and reliability Develop end-to-end data and decisioning pipelines that transform telemetry, logs, and user signals into actionable insights, automated detection, and root cause analysis Create and deploy scalable APIs and services that deliver predictive signals, explainability, and insights to engineering teams, operational tools, and product stakeholders Partner cross-functionally to embed intelligence into workflows (incident response, release validation, customer insights), improving speed and reducing operational overhead Drive innovation in observability, reliability, and developer productivity through applied AI and new approaches Basic Qualifications Bachelor's degree in Computer Science, Engineering, or equivalent experience 3+ years of applicable experience in backend development, including building AI-powered or data driven applications and scalable APIs (e.g. FastAPI, Flask) Practical experience in AI/ML engineering, with knowledge in at least one of the following areas: Agentic Workflows: Orchestrating foundation models (GPT-4, Claude) using frameworks like LangChain or LangGraph. Traditional ML: Developing, training, or fine-tuning models using frameworks like PyTorch or TensorFlow. Proficiency with AI-assisted development tools (e.g., Cursor, Claude Code) to accelerate engineering velocity. Experience with modern development practices, including version control (GitHub), containerization (Docker), and cloud-native deployments (AWS/EKS). Strong understanding of API design, microservices architecture, and standard SDLC workflows. Strong analytical and technical skills to troubleshoot issues, perform rapid iteration and quickly come-up with the possible solutions, Strong collaboration and communication skills, with the ability to work cross-functionally and clearly explain complex technical concepts Preferred Qualifications Experience with observability platforms (e.g., Datadog, Grafana, Conviva) and handling high-volume telemetry data. Familiarity with large-scale data platforms and distributed data processing tools (e.g., PySpark, Pandas, Databricks, Snowflake). Knowledge of prompt design, model evaluation, and fine-tuning foundation models (GPT-4, Claude). Experience implementing production-grade systems at scale within a fast-paced, distributed environment. The hiring range for this position in Glendale, CA is $117,500 to $157,500 per year and in New York, NY is $123,000 to $165,000 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
07/28/2026
Full time
Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems. 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 Observability & Insights group ensures that Disney Streaming's distributed systems are reliable, performant, and transparent. We build the telemetry, dashboards, alerting, insights pipelines, and developer experience tooling that enable engineers across the organization to understand system health and take action quickly. Job Summary: As a Software Engineer II, you will design and build intelligent, AI driven systems that enhance the reliability and performance of Disney's large scale streaming ecosystem. You will develop agentic systems, machine learning models, and real-time pipelines that transform telemetry, logs, and user signals into automated detection, root cause analysis, and proactive insights. In this role, you will contribute to the development of autonomous agents capable of reasoning over complex system behavior, identifying issues in real time, and driving faster detection and resolution across Disney+, Hulu, and ESPN. You will partner closely with engineering, product, and platform teams to embed intelligence directly into operational workflows, improving system resilience and customer experience at scale. You will deliver high quality features end-to-end and contribute to system design and code reviews and begin owning components of production systems within a fast paced, AI native engineering environment. Responsibilities: Design and operate intelligent, production-grade systems that leverage real-time signals and AI-driven detection to improve the health of streaming platforms, critical services, and customer experience Build and scale AI-driven capabilities including agentic AI systems powered by modern foundation models (e.g. Claude Opus/Sonnet, GPT-4) enabling automated reasoning and decisioning, as well as predictive modeling and anomaly detection for real-time system health and reliability Develop end-to-end data and decisioning pipelines that transform telemetry, logs, and user signals into actionable insights, automated detection, and root cause analysis Create and deploy scalable APIs and services that deliver predictive signals, explainability, and insights to engineering teams, operational tools, and product stakeholders Partner cross-functionally to embed intelligence into workflows (incident response, release validation, customer insights), improving speed and reducing operational overhead Drive innovation in observability, reliability, and developer productivity through applied AI and new approaches Basic Qualifications Bachelor's degree in Computer Science, Engineering, or equivalent experience 3+ years of applicable experience in backend development, including building AI-powered or data driven applications and scalable APIs (e.g. FastAPI, Flask) Practical experience in AI/ML engineering, with knowledge in at least one of the following areas: Agentic Workflows: Orchestrating foundation models (GPT-4, Claude) using frameworks like LangChain or LangGraph. Traditional ML: Developing, training, or fine-tuning models using frameworks like PyTorch or TensorFlow. Proficiency with AI-assisted development tools (e.g., Cursor, Claude Code) to accelerate engineering velocity. Experience with modern development practices, including version control (GitHub), containerization (Docker), and cloud-native deployments (AWS/EKS). Strong understanding of API design, microservices architecture, and standard SDLC workflows. Strong analytical and technical skills to troubleshoot issues, perform rapid iteration and quickly come-up with the possible solutions, Strong collaboration and communication skills, with the ability to work cross-functionally and clearly explain complex technical concepts Preferred Qualifications Experience with observability platforms (e.g., Datadog, Grafana, Conviva) and handling high-volume telemetry data. Familiarity with large-scale data platforms and distributed data processing tools (e.g., PySpark, Pandas, Databricks, Snowflake). Knowledge of prompt design, model evaluation, and fine-tuning foundation models (GPT-4, Claude). Experience implementing production-grade systems at scale within a fast-paced, distributed environment. The hiring range for this position in Glendale, CA is $117,500 to $157,500 per year and in New York, NY is $123,000 to $165,000 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Disney Entertainment and ESPN Product & Technology
Glendale, California
Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems. 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 Observability & Insights group ensures that Disney Streaming's distributed systems are reliable, performant, and transparent. We build the telemetry, dashboards, alerting, insights pipelines, and developer experience tooling that enable engineers across the organization to understand system health and take action quickly. Job Summary: As a Software Engineer II, you will design and build intelligent, AI driven systems that enhance the reliability and performance of Disney's large scale streaming ecosystem. You will develop agentic systems, machine learning models, and real-time pipelines that transform telemetry, logs, and user signals into automated detection, root cause analysis, and proactive insights. In this role, you will contribute to the development of autonomous agents capable of reasoning over complex system behavior, identifying issues in real time, and driving faster detection and resolution across Disney+, Hulu, and ESPN. You will partner closely with engineering, product, and platform teams to embed intelligence directly into operational workflows, improving system resilience and customer experience at scale. You will deliver high quality features end-to-end and contribute to system design and code reviews and begin owning components of production systems within a fast paced, AI native engineering environment. Responsibilities: Design and operate intelligent, production-grade systems that leverage real-time signals and AI-driven detection to improve the health of streaming platforms, critical services, and customer experience Build and scale AI-driven capabilities including agentic AI systems powered by modern foundation models (e.g. Claude Opus/Sonnet, GPT-4) enabling automated reasoning and decisioning, as well as predictive modeling and anomaly detection for real-time system health and reliability Develop end-to-end data and decisioning pipelines that transform telemetry, logs, and user signals into actionable insights, automated detection, and root cause analysis Create and deploy scalable APIs and services that deliver predictive signals, explainability, and insights to engineering teams, operational tools, and product stakeholders Partner cross-functionally to embed intelligence into workflows (incident response, release validation, customer insights), improving speed and reducing operational overhead Drive innovation in observability, reliability, and developer productivity through applied AI and new approaches Basic Qualifications Bachelor's degree in Computer Science, Engineering, or equivalent experience 3+ years of applicable experience in backend development, including building AI-powered or data driven applications and scalable APIs (e.g. FastAPI, Flask) Practical experience in AI/ML engineering, with knowledge in at least one of the following areas: Agentic Workflows: Orchestrating foundation models (GPT-4, Claude) using frameworks like LangChain or LangGraph. Traditional ML: Developing, training, or fine-tuning models using frameworks like PyTorch or TensorFlow. Proficiency with AI-assisted development tools (e.g., Cursor, Claude Code) to accelerate engineering velocity. Experience with modern development practices, including version control (GitHub), containerization (Docker), and cloud-native deployments (AWS/EKS). Strong understanding of API design, microservices architecture, and standard SDLC workflows. Strong analytical and technical skills to troubleshoot issues, perform rapid iteration and quickly come-up with the possible solutions, Strong collaboration and communication skills, with the ability to work cross-functionally and clearly explain complex technical concepts Preferred Qualifications Experience with observability platforms (e.g., Datadog, Grafana, Conviva) and handling high-volume telemetry data. Familiarity with large-scale data platforms and distributed data processing tools (e.g., PySpark, Pandas, Databricks, Snowflake). Knowledge of prompt design, model evaluation, and fine-tuning foundation models (GPT-4, Claude). Experience implementing production-grade systems at scale within a fast-paced, distributed environment. The hiring range for this position in Glendale, CA is $117,500 to $157,500 per year and in New York, NY is $123,000 to $165,000 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
07/28/2026
Full time
Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems. 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 Observability & Insights group ensures that Disney Streaming's distributed systems are reliable, performant, and transparent. We build the telemetry, dashboards, alerting, insights pipelines, and developer experience tooling that enable engineers across the organization to understand system health and take action quickly. Job Summary: As a Software Engineer II, you will design and build intelligent, AI driven systems that enhance the reliability and performance of Disney's large scale streaming ecosystem. You will develop agentic systems, machine learning models, and real-time pipelines that transform telemetry, logs, and user signals into automated detection, root cause analysis, and proactive insights. In this role, you will contribute to the development of autonomous agents capable of reasoning over complex system behavior, identifying issues in real time, and driving faster detection and resolution across Disney+, Hulu, and ESPN. You will partner closely with engineering, product, and platform teams to embed intelligence directly into operational workflows, improving system resilience and customer experience at scale. You will deliver high quality features end-to-end and contribute to system design and code reviews and begin owning components of production systems within a fast paced, AI native engineering environment. Responsibilities: Design and operate intelligent, production-grade systems that leverage real-time signals and AI-driven detection to improve the health of streaming platforms, critical services, and customer experience Build and scale AI-driven capabilities including agentic AI systems powered by modern foundation models (e.g. Claude Opus/Sonnet, GPT-4) enabling automated reasoning and decisioning, as well as predictive modeling and anomaly detection for real-time system health and reliability Develop end-to-end data and decisioning pipelines that transform telemetry, logs, and user signals into actionable insights, automated detection, and root cause analysis Create and deploy scalable APIs and services that deliver predictive signals, explainability, and insights to engineering teams, operational tools, and product stakeholders Partner cross-functionally to embed intelligence into workflows (incident response, release validation, customer insights), improving speed and reducing operational overhead Drive innovation in observability, reliability, and developer productivity through applied AI and new approaches Basic Qualifications Bachelor's degree in Computer Science, Engineering, or equivalent experience 3+ years of applicable experience in backend development, including building AI-powered or data driven applications and scalable APIs (e.g. FastAPI, Flask) Practical experience in AI/ML engineering, with knowledge in at least one of the following areas: Agentic Workflows: Orchestrating foundation models (GPT-4, Claude) using frameworks like LangChain or LangGraph. Traditional ML: Developing, training, or fine-tuning models using frameworks like PyTorch or TensorFlow. Proficiency with AI-assisted development tools (e.g., Cursor, Claude Code) to accelerate engineering velocity. Experience with modern development practices, including version control (GitHub), containerization (Docker), and cloud-native deployments (AWS/EKS). Strong understanding of API design, microservices architecture, and standard SDLC workflows. Strong analytical and technical skills to troubleshoot issues, perform rapid iteration and quickly come-up with the possible solutions, Strong collaboration and communication skills, with the ability to work cross-functionally and clearly explain complex technical concepts Preferred Qualifications Experience with observability platforms (e.g., Datadog, Grafana, Conviva) and handling high-volume telemetry data. Familiarity with large-scale data platforms and distributed data processing tools (e.g., PySpark, Pandas, Databricks, Snowflake). Knowledge of prompt design, model evaluation, and fine-tuning foundation models (GPT-4, Claude). Experience implementing production-grade systems at scale within a fast-paced, distributed environment. The hiring range for this position in Glendale, CA is $117,500 to $157,500 per year and in New York, NY is $123,000 to $165,000 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Disney Entertainment and ESPN Product & Technology
New York, New York
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Our Technology Enablement Engineering teams design, build, and operate cloud-based platforms that power applications across Disney Entertainment & ESPN Product & Technology (DEEP&T). We partner closely with product and engineering teams to create and improve system stability, scalability, and operational excellence through automation, observability, and engineering best practices. The Software Engineer II plays a key role in planning, designing, and implementing software and infrastructure solutions that support highly available and resilient systems. This engineer works on cloud-native platforms, distributed systems, and automation tooling that improves operational efficiency, and developer productivity. In this role, the engineer will collaborate across engineering teams to develop scalable systems, enhance platform capabilities, and drive improvements in system performance, reliability, and deployment workflows. You will: Develop and deliver solutions for problems of moderate scope and complexity, ensuring reliable deployment to production environments. Communicate status, progress, risks, and blockers clearly with team members and stakeholders while maintaining visibility into upcoming work. Troubleshoot software defects, improve existing systems, and contribute new functionality using clean, maintainable, and well-tested code. Evaluate existing systems, standards, and engineering practices to identify opportunities for improvements in reliability, scalability, and operational efficiency. Collaborate with software engineers, platform teams, and technical leaders to design and implement solutions for moderately complex technical challenges. Identify opportunities to improve engineering productivity and operational efficiency through automation, tooling, and responsible use of AI-assisted development technologies. Responsibilities: Write code that impacts business goals, within guidelines and policies. Review code for design, logic, testability, usability, and adherence to standards. Strive for operational excellence and continuous improvement. Develop specifications for assigned components, projects, or fixes, and breaks down projects into prioritized tasks. Build solutions that scale and perform in the cloud. Participate in project proposal, architecture, and design. Implement assigned projects and tasks efficiently and comprehensively. Participate in planning for short, medium, and long term goals. Oversee technical maintenance. Perform troubleshooting for systems that tend to be large and complex. Design, development, documentation, and testing. Apply experience to resolve a variety of issues across a variety of technologies such as software, IaC, networking, code delivery, cloud-native services, security, and others. Identify problems and opportunities and recommend solutions. Serve as a technical resource for less experienced software engineers. Basic Qualifications: Minimum of 3 years of related work experience within the software infrastructure engineering field Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Well-versed in Software Engineering and Infrastructure Engineering principles, patterns, and best practices. Ability to understand the business domain from both a technical and product viewpoint Minimum of 2 years experience working with AWS Cloud Infrastructure and Resources Proficient in Python and/or other comparable programming language Well-versed with modern infrastructure services and concepts such as containerization (e.g. Docker), distributed systems, Infrastructure-as-Code (e.g. Terraform, CloudFormation), and microservices. Exposure to working with globally distributed teams Experience working within an Agile environment Preferred Qualifications: Experience using modern AI-assisted development tools (e.g., Copilot, Cursor, or similar) to improve code quality, accelerate development, and enhance documentation. Understanding of foundational AI/ML concepts, familiarity with cloud-native AI services such as model hosting, and/or ability to use AI tools to automate cloud operations tasks. The hiring range for this position in New York, NY is $123,000 to $165,000 and in Los Angeles, CA is $117,500 to $157,500 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
07/28/2026
Full time
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Our Technology Enablement Engineering teams design, build, and operate cloud-based platforms that power applications across Disney Entertainment & ESPN Product & Technology (DEEP&T). We partner closely with product and engineering teams to create and improve system stability, scalability, and operational excellence through automation, observability, and engineering best practices. The Software Engineer II plays a key role in planning, designing, and implementing software and infrastructure solutions that support highly available and resilient systems. This engineer works on cloud-native platforms, distributed systems, and automation tooling that improves operational efficiency, and developer productivity. In this role, the engineer will collaborate across engineering teams to develop scalable systems, enhance platform capabilities, and drive improvements in system performance, reliability, and deployment workflows. You will: Develop and deliver solutions for problems of moderate scope and complexity, ensuring reliable deployment to production environments. Communicate status, progress, risks, and blockers clearly with team members and stakeholders while maintaining visibility into upcoming work. Troubleshoot software defects, improve existing systems, and contribute new functionality using clean, maintainable, and well-tested code. Evaluate existing systems, standards, and engineering practices to identify opportunities for improvements in reliability, scalability, and operational efficiency. Collaborate with software engineers, platform teams, and technical leaders to design and implement solutions for moderately complex technical challenges. Identify opportunities to improve engineering productivity and operational efficiency through automation, tooling, and responsible use of AI-assisted development technologies. Responsibilities: Write code that impacts business goals, within guidelines and policies. Review code for design, logic, testability, usability, and adherence to standards. Strive for operational excellence and continuous improvement. Develop specifications for assigned components, projects, or fixes, and breaks down projects into prioritized tasks. Build solutions that scale and perform in the cloud. Participate in project proposal, architecture, and design. Implement assigned projects and tasks efficiently and comprehensively. Participate in planning for short, medium, and long term goals. Oversee technical maintenance. Perform troubleshooting for systems that tend to be large and complex. Design, development, documentation, and testing. Apply experience to resolve a variety of issues across a variety of technologies such as software, IaC, networking, code delivery, cloud-native services, security, and others. Identify problems and opportunities and recommend solutions. Serve as a technical resource for less experienced software engineers. Basic Qualifications: Minimum of 3 years of related work experience within the software infrastructure engineering field Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Well-versed in Software Engineering and Infrastructure Engineering principles, patterns, and best practices. Ability to understand the business domain from both a technical and product viewpoint Minimum of 2 years experience working with AWS Cloud Infrastructure and Resources Proficient in Python and/or other comparable programming language Well-versed with modern infrastructure services and concepts such as containerization (e.g. Docker), distributed systems, Infrastructure-as-Code (e.g. Terraform, CloudFormation), and microservices. Exposure to working with globally distributed teams Experience working within an Agile environment Preferred Qualifications: Experience using modern AI-assisted development tools (e.g., Copilot, Cursor, or similar) to improve code quality, accelerate development, and enhance documentation. Understanding of foundational AI/ML concepts, familiarity with cloud-native AI services such as model hosting, and/or ability to use AI tools to automate cloud operations tasks. The hiring range for this position in New York, NY is $123,000 to $165,000 and in Los Angeles, CA is $117,500 to $157,500 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Job Title: SDET (Software Development Engineer in Test) III Location: (City, State) Duration: Contract - 6 months Pay Range: $62/hr $67/hr (W2) Job ID: 407081 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Senior Quality Engineer / SDET III to join our team. The ideal candidate will have strong experience in test planning, automation across UI, API, and backend, and CI/CD integration and a proven ability to design robust test frameworks, mentor engineers, and drive defect resolution for complex features. Responsibilities: Own test planning, execution, and automation for moderately complex systems or large features across front-end, API, and backend components. Design, build, and maintain extensible test automation framework components and libraries. Integrate automated tests into CI/CD pipelines (e.g., Jenkins), monitor results, and address failures promptly. Monitor test runs, identify failures, log defects with diagnostics, and partner with developers for resolution and verification. Mentor junior Quality Engineers through code and test case reviews and provide constructive feedback. Serve as a subject matter expert in one or more domains such as UI automation, API testing, performance, security, or data validation. Collaborate with developers, product owners, and business analysts to clarify requirements, identify edge cases, and define acceptance criteria. Facilitate technical discussions on quality, propose improvements to test approaches, and evaluate new tools and methodologies. Drive continuous improvement of QE processes using metrics such as defect density, test coverage, and escape defects. Write and execute manual and automated test cases covering functional and non-functional requirements. Author test cases in test management tools (e.g., qTest) using Gherkin where applicable. Perform API testing with tools such as Postman and automation libraries; validate integrations with databases and downstream systems. Contribute to automation frameworks (e.g., WebdriverIO, Selenium, Cypress) with reusable, maintainable code. Execute regression, integration, system, and exploratory testing; log defects with clear reproduction steps and severity. Participate in Agile ceremonies and provide testing estimates and quality input on user stories. Support release readiness with smoke and regression suites and validate production deployments. Communicate test status, defect trends, and quality risks to the squad and stakeholders. Required Skills & Qualifications: Bachelor's degree in Computer Science, Information Systems, or equivalent experience. 5+ years in software quality engineering with proven test strategy design for moderately complex applications. Proficiency in Java and/or JavaScript/TypeScript for authoring automated tests and framework enhancements. Hands-on with WebdriverIO, Selenium, or Cypress; capable of building reliable UI automation and troubleshooting flaky tests. Experience testing RESTful APIs using Postman, supertest, or REST Assured. Experience integrating tests into CI/CD pipelines such as Jenkins and addressing pipeline failures. Working knowledge of Docker and containers for test environment setup. Proficiency in SQL and database concepts for data validation, test data setup, and troubleshooting. Understanding of performance testing concepts and tools; able to execute tests and interpret results. Familiarity with security testing practices and common vulnerabilities such as the OWASP Top 10. Strong knowledge of QE methodologies and testing types including unit, integration, system, UAT, regression, performance, and exploratory. Strong debugging and analytical skills across front-end, API, and backend layers. Comfort with Git and GitHub, branching strategies, and pull request reviews. Experience in Agile environments; familiarity with SAFe is a plus. Excellent written and verbal communication with the ability to convey quality concerns to technical and business stakeholders. Demonstrated ability to mentor junior engineers and review their work constructively. Experience authoring test cases in tools such as qTest, including Gherkin syntax. Preferred Skills: WebdriverIO with JavaScript or TypeScript. Postman and Newman for API testing and automation. Behavior-Driven Development with Gherkin and Cucumber. Accessibility testing tools such as aXe. Experience working in a SAFe environment. Exposure to cloud technologies, preferably AWS. Containerization with Docker for managing test environments. Service virtualization or contract testing experience. Observability tools such as Splunk or Dynatrace to support testing and defect diagnosis. Contributions to test automation framework design and reusable libraries. History of driving test process or automation improvements and presenting quality metrics to stakeholders. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.
07/28/2026
Full time
Job Title: SDET (Software Development Engineer in Test) III Location: (City, State) Duration: Contract - 6 months Pay Range: $62/hr $67/hr (W2) Job ID: 407081 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Senior Quality Engineer / SDET III to join our team. The ideal candidate will have strong experience in test planning, automation across UI, API, and backend, and CI/CD integration and a proven ability to design robust test frameworks, mentor engineers, and drive defect resolution for complex features. Responsibilities: Own test planning, execution, and automation for moderately complex systems or large features across front-end, API, and backend components. Design, build, and maintain extensible test automation framework components and libraries. Integrate automated tests into CI/CD pipelines (e.g., Jenkins), monitor results, and address failures promptly. Monitor test runs, identify failures, log defects with diagnostics, and partner with developers for resolution and verification. Mentor junior Quality Engineers through code and test case reviews and provide constructive feedback. Serve as a subject matter expert in one or more domains such as UI automation, API testing, performance, security, or data validation. Collaborate with developers, product owners, and business analysts to clarify requirements, identify edge cases, and define acceptance criteria. Facilitate technical discussions on quality, propose improvements to test approaches, and evaluate new tools and methodologies. Drive continuous improvement of QE processes using metrics such as defect density, test coverage, and escape defects. Write and execute manual and automated test cases covering functional and non-functional requirements. Author test cases in test management tools (e.g., qTest) using Gherkin where applicable. Perform API testing with tools such as Postman and automation libraries; validate integrations with databases and downstream systems. Contribute to automation frameworks (e.g., WebdriverIO, Selenium, Cypress) with reusable, maintainable code. Execute regression, integration, system, and exploratory testing; log defects with clear reproduction steps and severity. Participate in Agile ceremonies and provide testing estimates and quality input on user stories. Support release readiness with smoke and regression suites and validate production deployments. Communicate test status, defect trends, and quality risks to the squad and stakeholders. Required Skills & Qualifications: Bachelor's degree in Computer Science, Information Systems, or equivalent experience. 5+ years in software quality engineering with proven test strategy design for moderately complex applications. Proficiency in Java and/or JavaScript/TypeScript for authoring automated tests and framework enhancements. Hands-on with WebdriverIO, Selenium, or Cypress; capable of building reliable UI automation and troubleshooting flaky tests. Experience testing RESTful APIs using Postman, supertest, or REST Assured. Experience integrating tests into CI/CD pipelines such as Jenkins and addressing pipeline failures. Working knowledge of Docker and containers for test environment setup. Proficiency in SQL and database concepts for data validation, test data setup, and troubleshooting. Understanding of performance testing concepts and tools; able to execute tests and interpret results. Familiarity with security testing practices and common vulnerabilities such as the OWASP Top 10. Strong knowledge of QE methodologies and testing types including unit, integration, system, UAT, regression, performance, and exploratory. Strong debugging and analytical skills across front-end, API, and backend layers. Comfort with Git and GitHub, branching strategies, and pull request reviews. Experience in Agile environments; familiarity with SAFe is a plus. Excellent written and verbal communication with the ability to convey quality concerns to technical and business stakeholders. Demonstrated ability to mentor junior engineers and review their work constructively. Experience authoring test cases in tools such as qTest, including Gherkin syntax. Preferred Skills: WebdriverIO with JavaScript or TypeScript. Postman and Newman for API testing and automation. Behavior-Driven Development with Gherkin and Cucumber. Accessibility testing tools such as aXe. Experience working in a SAFe environment. Exposure to cloud technologies, preferably AWS. Containerization with Docker for managing test environments. Service virtualization or contract testing experience. Observability tools such as Splunk or Dynatrace to support testing and defect diagnosis. Contributions to test automation framework design and reusable libraries. History of driving test process or automation improvements and presenting quality metrics to stakeholders. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.