Leading major projects and setting the technical direction for an analytics platform is the core of this engineering role. The platform is used by people across Disney+, Hulu, and ESPN to understand business metrics, increasingly through natural language and AI agents. This role suits a lead engineer who can partner with a principal engineer on overall architecture and raise the bar on quality and performance.
Responsibilities
Design and deliver agentic analytics experiences: natural-language and AI-assisted dashboard authoring, agent-accessible surfaces, and AI-generated insights with human-in-the-loop review
Build the foundations these depend on a semantic, machine-readable representation of metrics and surfaces so agents can do what the app can, plus the evaluation and guardrails that keep AI output trustworthy
Lead projects end to end: partner with product, design, and data teams to scope ambiguous problems and distill requirements into clear design and technical specifications
Own the high-leverage architectural decisions for the projects you lead (rendering, data fetching, caching, state, service boundaries, API contracts), document them, and guide other engineers in carrying them out
Build the full path: a responsive React front end, the Node.js (and Python or Java) services behind it, and the APIs and data-integration layer that feed it
Evolve a configuration and schema-driven system that lets new dashboards and metrics ship through config and CI validation rather than bespoke code, treating product surfaces as data
Engineer for dashboard-shaped traffic across client and server: optimize data fetching, caching, request batching, and progressive and streaming rendering so complex, high-cardinality views load fast and scale to a large concurrent audience
Write, maintain, standardize, and enforce code quality through testing (including test-driven development where it fits), code review, observability, and accessible, resilient UI
See work through from specification to production and ongoing operation
Mentor engineers at all levels, including senior engineers, through code review, pairing, and knowledge sharing; build trust, set goals, and give constructive feedback
Drive the evolution of the team's practices and standards, including agentic engineering workflows that raise how fast and how well the team ships, and build cross-team consensus for technical direction
Requirements
7+ years building highly scalable, performant full-stack web applications serving millions of users and requests
A regular practitioner of agentic software development: AI coding agents and agent-driven workflows are a core part of how you build, and you can raise a team's effectiveness with them
A track record of delivering agentic analytics solutions in production: analytics or data products built on LLMs or agents (for example, natural-language querying, agent-driven insight generation, or prompt-to-dashboard)
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Expert-level command of React, TypeScript, and JavaScript, with strong Node.js; comfortable working across the full stack, from UI through back-end services and APIs
Proven track record architecting sophisticated technical changes and driving cross-team consensus on the approach
Experience defining and implementing API specifications in collaboration with service and back-end teams
Strong performance-engineering fundamentals (rendering, data fetching, caching) for data-heavy or high-traffic systems
Track record of owning projects beginning to end and driving complex problems to root cause and resolution
Demonstrated ability to mentor and grow engineers, including senior engineers, by building trust and giving clear feedback
Bachelor's degree in Computer Science, Information Systems, Software or Electrical Engineering, a comparable field, and/or equivalent work experience
Nice to have:
Working proficiency in Python and/or Java for back-end services, data tooling, or integrations
Shipped production React/Node.js applications with high availability and throughput on a cloud platform (e.g., AWS)
Experience with data visualization at scale: charting, large and high-cardinality datasets, interactive and filterable dashboards
Familiarity with BI and data-warehouse stacks (e.g., Looker/LookML, Snowflake, Databricks) and partnering with data and analytics teams
Experience with configuration-driven or schema-driven UI systems (product defined as data or "as code")
Expert understanding of web accessibility (WCAG) fundamentals
Broad knowledge of web standards and emerging technologies
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
About the Company
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 works 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. Its products include Disney+, Hulu, ESPN, ABC, and ABC News.
