This is not a remote role - you must be in the area or be open to relocation
Senior Software Engineer, Payments and Accounting
“It takes people to make the dream a reality.” Walt was on to something when he said that, and it continues to ring true today. No matter where you are in the stage of your career, being part of Disney Parks, Experiences and Products (DPEP) means being a part of a team where you help bring innovation to life through unsurpassed products, services and most importantly remarkable experiences. As a Cast Member, you are the steward and connection to our legacy and the backbone of our thriving innovations. Join our team and watch your dreams come true.
As a Senior Software Engineer with experience in full-stack software engineering and a strong commitment to excellence, you will contribute hands-on within the Payments and Accounting Technology team responsible for advancing the payments and accounting ecosystem to support the ever-expanding business needs of Parks Commercial Platforms. Our team owns and operates 30+ production backend and frontend services powering payment processing, fraud detection, gift card management, and card issuance across Walt Disney World, Disneyland, Disney Cruise Line, Disney Store, and other Disney properties.
We seek forward-thinking full-stack engineers who are passionate about delivering quality products at scale, embrace AI-assisted development practices, and enjoy working closely with business partners on both strategic and tactical challenges. The ideal candidate should be comfortable working across backend services (Java/Spring) and frontend applications (Angular/Node.js), be proficient in leveraging AI tools to accelerate development workflows, and thrive in a fast-paced environment where production incident response and delivery excellence are equally important. The Senior Software Engineer reports to the Senior Manager-Technology.
As a part of our team, you will work towards achieving the objectives outlined below:
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Actively participating in the successful implementation of solutions for complex technical problems across the full stack from backend Java microservices to Angular UI applications and Node.js API layers
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Contributing to the development and maintenance of payment processing frameworks, containerized execution environments, build systems, and shared libraries used across multiple products
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Applying AI-assisted development practices including AI-assisted code review, automated testing, secure prompt engineering, and identifying opportunities to apply AI/ML in fraud detection and payment optimization
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Providing input on future initiatives with stakeholders and fellow engineers, including technical debt prioritization, platform modernization, and capital planning considerations
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Contributing to project architecture and effectively communicating technical decisions within the team
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Contributing to Key Performance Indicators (KPIs) to measure project progress, system reliability, and engineering productivity
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Collaborating with engineers to ensure clean, thread-safe, well-tested code that introduces new features and capabilities
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Improving engineering productivity through innovation, automation, and adoption of modern development tools and AI assistants
Responsibilities:
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Design, develop, and maintain full-stack payment processing applications spanning Java 21/Spring backend microservices, Angular 18 frontend applications, and Node.js 20 API layers
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Build and maintain containerized services using Docker, deploying to AWS with Tomcat-based runtime environments
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Support and operate production services processing real-time payment transactions across multiple Disney properties including authorization, settlement, fraud screening, gift card operations, and card issuance
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Develop and maintain Splunk-based monitoring, alerting, and operational analytics for payment and fraud detection systems
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Implement and support adherence to PCI-DSS compliance standards across application code, logging, data handling, and infrastructure
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Participate in production incident response for payment service failures including rapid triage, root cause analysis, remediation, and post-incident documentation
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Apply AI-assisted development practices including AI-powered code review, test generation, refactoring, and documentation; identify safe injection points for AI/ML in payment and fraud systems
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Mentor junior engineers through code reviews, technical discussions, and pair programming
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Collaborate with external vendor teams and internal stakeholders for complex integration work
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Contribute to technical estimates, risk assessments, and project sizing
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Investigate and resolve complex concurrency and performance issues in high-throughput payment services
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Act as a technical resource across backend services and frontend applications
Qualifications:
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Must have 5+ years of design, architecture, and development experience in highly scalable, high-volume software components and/or client-facing web applications
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Experience in payment processing, fintech, or financial services technology strongly preferred
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Must have demonstrated experience leveraging AI tools in software development workflows preferred
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Deep understanding of design patterns and modern, highly scalable full-stack application development
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Advanced experience with Java 17+ (Java 21 preferred) including Spring Framework
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Advanced experience with Angular 16+ (Angular 18 preferred) and Node.js 18+ (Node.js 20 preferred)
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Advanced experience with AWS services: Lambda, DynamoDB, Aurora DB, S3, ECS, CloudWatch
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Advanced experience with Docker containerization and CI/CD pipelines (Jenkins, GitHub Actions, Harness)
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Advanced experience with microservices architecture, RESTful APIs, and cloud-native design patterns
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Must have proficiency with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Amazon Q) and experience using them in development workflows
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Experience with or strong interest in applying AI/ML to fraud detection, anomaly detection, or payment optimization use cases
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Strong understanding of payment processing concepts: authorization, settlement, tokenization, PCI-DSS compliance, card network mandates
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Experience with Splunk or similar log analytics platforms for operational monitoring and incident investigation
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Advanced experience in Object-Oriented design principles, patterns, and coding best practices
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Advanced experience building use case driven software with Agile Software Development and Test Driven Development methodologies
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Experience with database technologies: Aurora (MySQL), MariaDB, DynamoDB, Redis
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Ability to thrive in a dynamic, fast-paced environment with on-call production support responsibilities
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Ability to be highly flexible to quickly changing business needs and new technologies
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Ability to performance tuning, and concurrency hardening across production services
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Ability to contribute to test automation including JUnit concurrency testing, integration testing, and regression suites
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Ability to create and maintain technical documentation, runbooks, and operational procedures
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Ability to contribute to improvement of software development processes, including code quality gates (SonarQube), security scanning, and deployment practices
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Ability to proactively reassess business needs and make suggestions to meet those needs
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Ability to apply vision, creativity, and proactive solutions to complex issues across the full stack
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Ability to perform programming, testing, and debugging of major projects spanning backend and frontend systems
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Ability to mentor and review the work of less experienced members of the team
Required Education:
Bachelor's Degree in Computer Science or Engineering Field (or equivalent education and experience)
#DISNEYTECH
The hiring range for this position in Orlando is $135,200.00 - $165,000.00per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
