Senior Android Engineer

Overview

On Site
Full Time

Skills

Mobile development
Large Language Models (LLMs)
Natural language processing
User stories
Mobile applications
Technical drafting
Development testing
Product launch
Design patterns
Application development
Quick learner
Problem solving
Unit testing
Continuous Integration and Development
Artificial intelligence
Machine Learning (ML)
Computer science
Information systems
Android
MAGIC
SPA
Transportation
Retail
Commerce
Design
Sprint
Planning
Collaboration
Budget
Documentation
Kotlin
Java
Mentorship
Software development
FOCUS
Creativity
Agile
Quality assurance
Communication
Management
DART

Job Details

Job Overview

"We Power the Magic!" That's our motto at Disney Experiences Technology & Digital. Our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney's Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club.

We are responsible for the end-to-end digital and physical Guest experience for all technology and digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation and Merchandise lines of business as well as other initiatives including MyDisneyExperience and Hey, Disney!

This role is a part of the Retail & Restaurant Commerce Technology organization within Disney Experiences Technology & Digital. It works closely with a diverse team of engineers and service owners from across the company.

What You'll Do
  • Design and develop and provide oversight for mobile solutions for our existing and new platform.
  • Analyze user stories, provide realistic estimations, and participate in sprint planning, scrums, demos, and retrospectives.
  • Collaborate with product, and other stakeholders in defining solutions that are scalable, easily maintainable and within the expected budget and timeline.
  • Create detailed mobile software development documentation and assist in assigning tasks to team members.
  • Build well-designed, well-engineered, stable, performant mobile applications using Flutter, Kotlin, and/or Java.
  • Guide and mentor other team members by providing oversight and direction.
  • Recommend improvements to processes, technologies, and coding practices that improve the team's effectiveness.
  • Strong ability to maintain focus and problem solve in a dynamic, fast-paced environment working with cross-functional teams.
  • Keep up to date with the current technologies and latest trends, be able to innovate and provide creative solutions to existing and new problems.

Required Qualifications & Skills
  • At least 5 years of experience building highly scalable and performant production level applications.
  • Strong experience using Kotlin and Java in building Android consumer-facing applications.
  • Contribute to the entire development cycle, including technical design, development, testing, experimentation, analysis, and product launch.
  • Proven collaboration skills and ability to communicate about software processes, architectures, and design patterns across various teams.
  • Experience mentoring junior team members and the ability to deliver encouraging and constructive feedback.
  • Experience working in an Agile Team consisting of product managers, project managers, design, QA, and tech.
  • Solid understanding of mobile development, design principles, patterns, and best practices related to application development concepts, designs, and architectures.
  • Excellent communication skills required to interact with senior leaders, technical colleagues, and partners.
  • Self-motivated, quick learner, passion for consumer software.
  • Strong problem-solving and analysis skills.
  • Strong knowledge of unit testing and continuous integration.
  • Experience developing applications using Flutter.
  • Deep knowledge and experience of managing, orchestrating, and monitoring distributed production systems.

Preferred Qualifications
  • Knowledge of cross-platform development frameworks, such as Flutter/Dart.
  • Understanding of modern SRE best practices.
  • Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP).

Education
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field/work experience.

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