Senior Full Stack Engineer at Duettoresearch

Senior Full Stack Engineer 1. About the Company Duetto, the industry-leading hospitality revenue management system, leads the way in helping hotels, resorts and casinos optimize revenue and boost profit. Our leading SaaS platform, expanding suite of products, and incredibly skilled team have been at the heart of our continued success and our ambition for future growth knows no bounds. Duetto is building the future of hotel revenue strategy. We’re not just another SaaS company — we’re redefining what’s possible for hotels through our category-creating platform, the Revenue & Profit Operating System. 2. Role Summary / Purpose The Senior Fullstack Engineer is responsible for designing, delivering, and continuously improving mission-critical software across the full stack — from GraphQL APIs and Java microservices to TypeScript/React frontends — in service of Duetto's revenue and profit management platform. This role owns end-to-end feature delivery, contributes to the active migration from a Java monolith to a modern microservices architecture, and operates at the intersection of engineering excellence and AI-augmented development. The Senior Full Stack Engineer works with a high degree of autonomy, making independent architectural decisions and mentoring peers on engineering best practices — including effective use of AI code generation and review tooling. The development target for this role is Solutions, Processes, and Workflows — the hallmark of an IC3-level contributor who resolves complex technical challenges and raises the quality bar for the team around them. 3. Key Responsibilities • Own the end-to-end delivery of full-stack features and services — from requirements through production — including design, implementation, monitoring, and troubleshooting across Java/Spring Boot microservices and TypeScript/React frontends. • Resolve complex architectural challenges by making independent technical decisions and recommendations, converting successful prototypes into scalable, maintainable production systems. • Collaborate with cross-functional teams — Product, Design, and Engineering — to ensure delivered solutions meet both technical standards and end-user quality expectations for a consumer-grade experience. • Facilitate the migration of legacy monolith systems by applying Domain-Driven Design principles, event-driven architecture patterns, and structured decomposition strategies to modernize software at scale. • Optimize test coverage and reliability by writing automated end-to-end tests using Cypress or Playwright, and by championing data-driven design and testing best practices across the team. • Mentor peers on effective prompt engineering, AI-assisted development patterns, and code review practices in a generate-and-review engineering model where 50–70% of code is AI-generated. • Improve AI-augmented engineering workflows by contributing to and refining custom skills, agents, and agentic pipelines that amplify team productivity and delivery velocity. • Coordinate with Engineering leadership on architectural direction, technical trade-offs, and the continuous improvement of engineering processes across the team. • Perform other related duties as needed to support team and company priorities. 4. Qualifications Required: • 4–6 years of experience in full-stack software engineering, with demonstrated production experience across both backend and frontend layers • Strong proficiency in Java and Spring Boot for enterprise-grade backend development • Strong proficiency in TypeScript and React for modern web application development • Experience building and maintaining GraphQL APIs • Proficiency with SQL and NoSQL databases, specifically MongoDB • Experience with end-to-end testing frameworks such as Cypress or Playwright • Working understanding of microservices architecture, event-driven patterns, and application integration • Demonstrated experience with Claude Code CLI or comparable AI code generation tooling, with comfort operating in a generate-and-review engineering workflow Preferred: • Specialized skills, knowledge, or experience within the Hospitality technology industry. • Specialized skills, knowledge, or experience within the hospitality technology industry • Familiarity with legacy modernization patterns, including monolith decomposition and migration planning • Exposure to Domain-Driven Design (DDD) principles in an enterprise context • Experience with AI code review tools such as CodeRabbit or Augment • Familiarity with AWS infrastructure, Kubernetes, and CI/CD pipeline management