Lead Software Engineer AI-Driven Cloud Native Microservices

Disney Experiences

Lake Buena Vista (FL)

On-site

USD 151,000 - 202,000

Full time

3 days ago

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Benefits offered by this job

Bonus and long-term incentive units

Medical benefits

Job summary

Disney Experiences in Lake Buena Vista, FL is seeking a Lead Software Engineer to design and deliver scalable, AI-enabled software ecosystems, including dining and bookable reservation systems, using Java, AWS, and microservices.

You will set architectural direction, mentor engineers, review code, and collaborate with product, architecture, and IT teams to meet ambitious guest-experience goals. Strong cloud, database, and AI tooling experience is required.

Qualifications

7 years of experience building large-scale software systems and web applications, leading engineering teams and projects.
Expertise with enterprise architecture tools (e.g., BlueDolphin or LeanIX).
Experience leading cross-domain architectural initiatives and guiding decision processes.
Experience developing and managing architecture taxonomies, patterns, and standards.
Proven ability to align architecture with strategic objectives and OKRs.
Hands-on familiarity with cloud platforms (AWS, Azure, GCP), API-led integration, security-by-design, and data architecture.
Strong hands-on skills in Java, Spring, microservices, and RESTful APIs.
Deep experience with AWS, databases (DynamoDB, Aurora, MongoDB), Kafka, Docker, and CI/CD pipelines.

Responsibilities

Lead and personally build scalable, well-documented software systems and APIs from design to delivery using Java, AWS, and microservices.
Champion AI-powered development and embed AI tools across the lifecycle to accelerate delivery and improve quality.
Set architectural direction by translating requirements into solution architecture and coordinating with stakeholders.
Own dining and bookable experience reservation systems with expertise in inventory, availability, offers, and reservations.
Integrate and support complex systems across databases, messaging, and orchestration platforms and manage AWS infrastructure.
Drive engineering quality through code reviews, automated testing, and proactive process improvements.
Collaborate across product, engineering, delivery, and architecture teams to align solutions with business needs and timelines.