Senior Software Architect - Scalable Platforms & AI

The Walt Disney Company

Orlando (FL)

On-site

USD 182,000 - 244,000

Full time

13 days ago

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Job summary

The Walt Disney Company in Orlando seeks a Principal Software Engineer to provide architectural leadership and end-to-end ownership for Lodging Sales Distribution software. You will mentor engineers, drive scalable design, and guide incident response while delivering complex, cloud-based solutions.

You will lead initiatives across multiple teams, participate in planning, and evaluate AI-enabled delivery capabilities to minimize downtime and maximize guest experiences.

Qualifications

  • Minimum 10 years of related work experience.
  • Excellent communication and leadership abilities.
  • An advocate for a diverse and inclusive culture.

Responsibilities

  • Own the analysis, design, program, debugging, and modifications of software improvements and/or new products used in local, networked, cloud-based, or Internet-related computer programs.
  • Lead projects that may be used in commercial and end-user applications or focus on software and tools supporting infrastructure and technology platforms.
  • Work typically involves large or highly sophisticated software programs and systems.
  • Possess expertise in current programming languages and technologies, with strong skills in writing code and programming tasks.
  • Initiate the testing and debugging of applications, using conceptual and innovative thinking to drive sophisticated, highly scalable solutions.

Skills

Java/Spring Boot
RESTful API
Angular
Node.js
AWS
Docker
AI tools

Education

Bachelor's degree or equivalent

Job description

The Walt Disney Company in Orlando seeks a Principal Software Engineer to provide architectural leadership and end-to-end ownership for Lodging Sales Distribution software. You will mentor engineers, drive scalable design, and guide incident response while delivering complex, cloud-based solutions.

You will lead initiatives across multiple teams, participate in planning, and evaluate AI-enabled delivery capabilities to minimize downtime and maximize guest experiences.

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