Software Engineer II

The Walt Disney Company • New York, NY

1d • Onsite

About The Position

Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more, 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. Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. 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. 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.

Requirements

• 3+ years of applicable experience in backend development, including building AI-powered or data driven applications and scalable APIs (e.g. FlaskAPI, Flask)
• Hands-on experience with modern foundation models (GPT-4, Claude, Bedrock). Must be proficient in prompt design, model evaluation, and integrating agentic workflows using orchestration frameworks like LangChain or LangGraph.
• Applied experience with ML frameworks (PyTorch/TensorFlow) and large-scale data processing tools (PySpark, Pandas) for telemetry or event-driven datasets
• Practical experience with AWS and containerization using Docker.
• Strong understanding of software development best practices, including version control (Git) and standard SDLC/Agile workflows
• Experience leveraging AI-assisted development tools (e.g., Cursor, Claude) to improve engineering productivity, code quality, and development velocity
• Strong collaboration and communication skills, with the ability to work cross-functionally and clearly explain complex technical concepts

Nice To Haves

• Experience applying best practices to design and implement systems at production scale
• Experience with modern databases and observability platforms (Datadog, Grafana, Conviva, MongoDB), and working with high volume telemetry data
• Knowledge of API design and microservices architecture

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

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level