Sr Full Stack Software Engineer

This is not a remote role - you must be in the area or be open to relocationSenior 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 importantlyremarkable 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: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 layersContributing to the development and maintenance of payment processing frameworks, containerized execution environments, build systems, and shared libraries used across multiple productsApplying 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 optimizationProviding input on future initiatives with stakeholders and fellow engineers, including technical debt prioritization, platform modernization, and capital planning considerationsContributing to project architecture and effectively communicating technical decisions within the teamContributing to Key Performance Indicators (KPIs) to measure project progress, system reliability, and engineering productivityCollaborating with engineers to ensure clean, thread-safe, well-tested code that introduces new features and capabilitiesImproving engineering productivity through innovation, automation, and adoption of modern development tools and AI assistantsResponsibilities:Design, develop, and maintain full-stack payment processing applications spanning Java 21/Spring backend microservices, Angular 18 frontend applications, and Node.js 20 API layersBuild and maintain containerized services using Docker, deploying to AWS with Tomcat-based runtime environmentsSupport and operate production services processing real-time payment transactions across multiple Disney properties including authorization, settlement, fraud screening, gift card operations, and card issuanceDevelop and maintain Splunk-based monitoring, alerting, and operational analytics for payment and fraud detection systemsImplement and support adherence to PCI-DSS compliance standards across application code, logging, data handling, and infrastructureParticipate in production incident response for payment service failures including rapid triage, root cause analysis, remediation, and post-incident documentationApply 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 systemsMentor junior engineers through code reviews, technical discussions, and pair programmingCollaborate with external vendor teams and internal stakeholders for complex integration workContribute to technical estimates, risk assessments, and project sizingInvestigate and resolve complex concurrency and performance issues in high-throughput payment servicesAct as a technical resource across backend services and frontend applicationsQualifications:Must have 5+ years of design, architecture, and development experience in highly scalable, high-volume software components and/or client-facing web applicationsExperience in payment processing, fintech, or financial services technology strongly preferredMust have demonstrated experience leveraging AI tools in software development workflows preferredDeep understanding of design patterns and modern, highly scalable full-stack application developmentAdvanced experience with Java 17+ (Java 21 preferred) including Spring FrameworkAdvanced experience with Angular 16+ (Angular 18 preferred) and Node.js 18+ (Node.js 20 preferred)Advanced experience with AWS services: Lambda, DynamoDB, Aurora DB, S3, ECS, CloudWatchAdvanced experience with Docker containerization and CI/CD pipelines (Jenkins, GitHub Actions, Harness)Advanced experience with microservices architecture, RESTful APIs, and cloud-native design patternsMust have proficiency with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Amazon Q) and experience using them in development workflowsExperience with or strong interest in applying AI/ML to fraud detection, anomaly detection, or payment optimization use casesStrong understanding of payment processing concepts: authorization, settlement, tokenization, PCI-DSS compliance, card network mandatesExperience with Splunk or similar log analytics platforms for operational monitoring and incident investigationAdvanced experience in Object-Oriented design principles, patterns, and coding best practicesAdvanced experience building use case driven software with Agile Software Development and Test Driven Development methodologiesExperience with database technologies: Aurora (MySQL), MariaDB, DynamoDB, RedisAbility to thrive in a dynamic, fast-paced environment with on-call production support responsibilitiesAbility to be highly flexible to quickly changing business needs and new technologiesAbility to performance tuning, and concurrency hardening across production servicesAbility to contribute to test automation including JUnit concurrency testing, integration testing, and regression suitesAbility to create and maintain technical documentation, runbooks, and operational proceduresAbility to contribute to improvement of software development processes, including code quality gates (SonarQube), security scanning, and deployment practicesAbility to proactively reassess business needs and make suggestions to meet those needsAbility to apply vision, creativity, and proactive solutions to complex issues across the full stackAbility to perform programming, testing, and debugging of major projects spanning backend and frontend systemsAbility to mentor and review the work of less experienced members of the teamRequired 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.