Senior Software Engineer

We are seeking a hands‑on Staff Software Engineer to drive high‑impact initiatives at the forefront of emerging technologies and unlock enterprise‑wide capabilities. In this role you’ll lead rapid prototyping efforts, build scalable proofs‑of‑concept, and shape the technical foundation that accelerates transformation across the organization. You’ll 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.

About You

You are curious and passionate about technology, staying ahead of the curve by consuming keynotes, articles, and technical content—and translating that knowledge into high‑quality blog posts, workshops, demos, or talks that inspire others. You’re not just curious—you’re hands‑on. You explore how things work by tinkering and prototyping, actively participate in or lead hackathons, design‑thinking workshops, demo days, and other forums that foster knowledge sharing and creative exploration. You approach challenges with a first‑principles mindset and a natural inclination toward developing simple, elegant solutions. You’re 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. You partner with other engineers to share best practices, amplify impact, and accelerate the adoption of emerging technologies.

Responsibilities

• 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.
• Serve as a technical leader and mentor.
• Support project planning and execution—help prioritize work, communicate effectively with stakeholders, and ensure timely delivery of high‑quality code.
• Foster a positive, collaborative team culture—promote best practices, encourage knowledge sharing, and lead by example.
• Collaborate with product 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.

Must Have Qualifications

• 5+ years of full‑stack software engineering experience with strong coding experience in languages such as Python, TypeScript, 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 PlantUML.
• Passion for innovation, emerging technologies, and driving continuous improvement.
• Demonstrated expertise in systems architecture, platform thinking, and technical leadership.
• Strong communication skills with the ability to navigate conflict, build trust, and foster alignment across cross‑functional teams; able to explain complex systems and tradeoffs to engineers, product managers, and stakeholders alike.
• 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/NoSQL, Object, Graph, etc).
• Proven ability to navigate organizational complexity and deliver outcomes aligned with strategic objectives.
• Passion for Disney’s mission and values.

Preferred Qualifications

• AWS, GCP, or Azure certification.
• Experience with emerging technologies.
• Experience with agile methodologies such as Scrum or Kanban.
• A track record of success in automation and developer productivity initiatives.
• Demonstrated experience building prototypes or experimental software in ambiguous or early‑stage environments.

Education & Experience

Bachelor’s degree in Computer Science, Information Systems, Software Engineering, Electrical or Electronics Engineering, or a comparable field of study; an advanced degree is a plus.