Staff Software Engineer (emerging Tech & AI Automation) Project Hire

Disney Disney · Media · Burbank, CA +4

Staff Software Engineer focused on emerging tech and AI automation within Disney's Enterprise Technology group. The role involves leading rapid prototyping, building proofs-of-concept, and exploring AI-assisted development tools and new technologies to drive enterprise-wide transformation and productivity improvements. Requires strong full-stack engineering skills, cloud platform experience, and proficiency with LLM APIs and AI agents.

What you'd actually do

  1. Stay at the forefront of emerging technologies by actively engaging with keynotes, articles, and technical content, and translate those insights into impactful blog posts, workshops, demos, and talks that educate and inspire others.
  2. Explore and validate new ideas through hands‑on experimentation, tinkering, and rapid prototyping. Actively participate in—and often lead—hackathons, design thinking workshops, demo days, and other forums that promote creativity and knowledge sharing.
  3. Tackle complex problems using first‑principles mindset and a natural inclination toward developing simple, elegant solutions.
  4. Be an exceptional communicator—equally effective in writing and speaking—and skilled at translating complex ideas into clear, actionable insights for both technical and non-technical audiences.
  5. Mentor and partner with other engineers to share best practices, amplify impact, and accelerate the adoption of emerging technologies.

Skills

Required

  • 7 + years of full-stack software engineering experience
  • strong coding background in languages such as Python, TypeScript, Node.js, Go or similar
  • clear, concise technical documentation
  • professional system architecture diagrams using tools like Lucidchart, Mermaid, or PlantUML
  • cloud platforms (AWS, Azure or GCP)
  • microservices architecture
  • CI/CD pipelines
  • containerization (Docker, Kubernetes)
  • A/B testing
  • AI/ML development tools
  • integrating LLM-based APIs, AI agents, or prompt-based workflows
  • large-scale databases (SQL/NoSQL, Object, Graph, etc)
  • systems architecture
  • platform thinking
  • technical leadership
  • navigate conflict, build trust, and foster alignment across cross-functional teams
  • explain complex systems and tradeoffs to engineers, product managers, and stakeholders alike
  • navigate organizational complexity
  • agile methodologies such as Scrum or Kanban

Nice to have

  • AWS, GCP or Azure certification
  • Experience with emerging technologies
  • A track record of success in automation and developer productivity initiatives
  • Demonstrated experience building prototypes or experimental software in ambiguous or early-stage environment

What the JD emphasized

  • hands-on experimentation
  • rapid prototyping
  • AI agents
  • prompt-based workflows
  • emerging technologies

Other signals

  • exploring AI-assisted development tools
  • experiment with new technologies
  • translate abstract concepts into elegant, real-world solutions
  • hands-on experimentation, tinkering, and rapid prototyping
  • integrating LLM-based APIs, AI agents, or prompt-based workflows