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Software Engineer; Emerging Tech & AI Automation Project

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: 1008 Disney Worldwide Services, Inc.
Full Time position
Listed on 2026-05-31
Job specializations:
  • Software Development
    AI Engineer, Software Engineer, Full Stack Developer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 155700 - 208700 USD Yearly USD 155700.00 208700.00 YEAR
Job Description & How to Apply Below
Position: Staff Software Engineer (Emerging Tech & AI Automation) Project Hire

Job Title and Location

Staff Software Engineer (Emerging Tech & AI Automation) – Project Hire (Req : )

Overview

At Disney, we’re storytellers. We make the impossible, possible. The Walt Disney Company (TWDC) is a world-class entertainment and technological leader. Walt’s passion was to continuously envision new ways to move audiences around the world—a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses.

Uniting each endeavor is a commitment to creating and delivering unforgettable experiences — and we’re constantly looking for new ways to enhance these exciting experiences.

The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross‑company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. The Emerging Technologies and AI Automation team focuses on amplifying business impact through innovation. We are part of the Technology Transformation team, working on driving measurable improvements in productivity, agility and employee satisfaction by automating the mundane, streamlining workflows and freeing people to do what they do best.

What

You’ll Do

Lead rapid prototyping efforts, build scalable proofs‑of‑concept, and shape the technical foundation that accelerates enterprise‑wide transformation. Work across a nimble, action‑oriented team to explore AI‑assisted development tools, experiment with new technologies, and translate abstract concepts into elegant, real‑world solutions.

Responsibilities
  • 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.
  • Tackle complex problems using first‑principles mindset and a natural inclination toward developing simple, elegant solutions.
  • Communicate complex ideas effectively in writing and speaking to both technical and non‑technical audiences.
  • Mentor and partner with other engineers to share best practices, amplify impact, and accelerate the adoption of emerging technologies.
  • Tackle ambiguity by building thin, end‑to‑end implementations that touch all major components of a system to evaluate the feasibility of emerging technologies and early prototypes.
  • Embrace rapid iteration—prioritize speed and learning by delivering minimum lovable products and evolving them through continuous feedback.
  • Support project planning and execution—help prioritize work, communicate effectively with stakeholders, and ensure timely delivery of high‑quality code.
  • Collaborate with engineers and business partners to align priorities, define goals, and deliver impactful outcomes.
  • Continuously refine engineering practices and champion improvements that elevate team performance and product excellence.
Required Qualifications & Skills
  • 7+ years of full‑stack software engineering experience with a strong coding background in languages such as Python, Type Script, Node.js, Go or similar.
  • Proven ability to write clear, concise technical documentation and create professional system architecture diagrams using tools like Lucidchart, Mermaid, or Plant

    UML.
  • Hands‑on experience with cloud platforms (AWS, Azure or GCP), microservices architecture, CI/CD pipelines, testing, development and deployment approaches, including containerization (Docker, Kubernetes), A/B testing, etc.
  • Proficiency with AI/ML development tools, and experience integrating LLM‑based APIs, AI agents, or prompt‑based workflows.
  • Experience working with large‑scale databases (SQL/No

    SQL, Object, Graph, etc).
  • Passion for innovation, emerging technologies, and driving continuous improvement.
  • Demonstrated expertise in systems architecture, platform thinking, and technical leadership.
  • Ability to navigate conflict, build trust, and foster alignment across cross‑functional teams; able to explain complex systems and trade‑offs to…
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