Senior Full Stack Software Engineer (Remote)

Hyatt is hiring a Senior Full Stack Software Engineer for its Data and AI organization. The role designs, develops, and operates scalable web applications and cloud services, including AI-enabled capabilities, while providing technical leadership and supporting reliable software delivery.

Responsibilities:

• Design, Develop and Operate Full Stack Cloud Solutions and Services in an AWS Cloud Environment using a serverless-first and managed-service-first approach (React, TypeScript, AWS Lambda, NodeJS, Serverless Framework)
• Write Clean, maintainable and efficient code following industry best practices and coding standards
• Develop UI interfaces with React (hooks, functional components, context) with strong command of component composition, state management patterns, and render lifecycle
• Define application infrastructure using an Infrastructure-as-Code (IaC) approach, primarily with Terraform
• Provide hands-on technical leadership throughout the development lifecycle, with a strong focus on delivering high-quality solutions
• Lead technical discussions to share knowledge and build consensus among engineers to develop the best possible solutions
• Maintain DevOps processes and deployment pipelines to support the implementation and release of applications and new features
• Collaborate closely with product managers and UX designers to align engineering efforts with business goals and user needs
• Participate in product planning and roadmap discussions, contributing technical insights to influence product direction
• Take ownership of end-to-end feature development — from ideation and prototyping to deployment and continuous improvement
• Leverage analytics and user feedback to iterate on features and improve the overall product experience
• Mentor engineering team members in technical decision-making, code reviews, and adherence to engineering practices and standards
• Foster a diverse and inclusive team culture while demonstrating a strong commitment to Hyatt’s core values
• Design and build AI-enabled product capabilities using approved large language model (LLM) services and APIs, integrating them with web applications and backend services
• Develop retrieval-augmented generation (RAG) and other grounded AI patterns where appropriate, using enterprise data sources and suitable embedding or vector-search technologies
• Apply responsible AI practices, including evaluation for accuracy and relevance, grounding and citation checks where applicable, privacy and security safeguards, human review for higher-impact use cases, and monitoring for quality and cost
• Use approved AI coding assistants (such as GitHub Copilot, Amazon Q Developer, or equivalent) to support implementation, testing, documentation, and code exploration; review and validate generated output before use and follow company policies for confidential data and intellectual property

Requirements:

• 8+ years of experience architecting and developing full-stack solutions, with hands-on use of software build and deployment tools (e.g., Jenkins, Git, GitLab, CI/CD pipelines)
• 8+ years of experience in application and backend API development using object-oriented programming (Java, Go, TypeScript/JavaScript)
• 8+ years of web application development experience (HTML, CSS, React, Node.js, TypeScript/JavaScript/Python)
• Strong understanding of AWS serverless solutions (AWS…S3, CloudFront, API Gateway, Lambda, SQS, EventBridge)
• Experience working with cloud database services (DynamoDB, Snowflake)
• Experience with containerization (Snowpark Container Services, Docker, AWS ECS/Fargate)
• Experience with cloud build and deployment tools
• Experience with Infrastructure-as-Code (IaC) tools and frameworks, such as Serverless Framework, AWS CloudFormation, and Terraform
• Base understanding of cloud services and infrastructure in AWS
• Knowledge of event-driven and service-oriented architectures
• Experience working in Agile development environments and tools
• Strong problem solving and troubleshooting skill
• Strong verbal and written communication skills
• Experience designing and implementing automated unit, integration, and end-to-end tests, and applying application security and accessibility best practices
• Demonstrated experience integrating AI/LLM capabilities into production applications, including prompt design, API integration, and at least one grounded approach such as retrieval-augmented generation (RAG)
• Ability to evaluate AI-generated results for correctness, relevance, safety, and bias; understanding of privacy, security, and responsible-use considerations for AI systems
• Experience using an AI coding assistant (for example, GitHub Copilot, Amazon Q Developer, or an equivalent tool) in a software development workflow, with the judgment to review, test, and secure AI-generated code
• Bachelor's degree in engineering, Computer Science, Statistics, Economics, Mathematics, Finance, or a related quantitative field
• Professional certifications in AWS, Snowflake
• Experience with Hospitality is also preferred