Senior Full-Stack Engineer: Cloud, AI & Scalable Apps

Hyatt; Chicago (IL); Remote; USD 150,000 - 190,000; Full time

Benefits offered by this job

Free Hotel Stays

Flexible Schedule

Wellbeing Initiatives

Headspace Subscription

Fitness Center Discount

Family Assistance

Parental Leave

Adoption Support

Paid Time Off

Medical Insurance

Dental Insurance

Vision Insurance

401(k) Match

Job summary

Hyatt in Chicago seeks a senior full-stack engineer to design, develop, and operate scalable cloud applications using AWS, React, TypeScript, and serverless services. You will lead technical delivery, collaborate with product and design teams, and mentor engineers.

Responsibilities include building data products with enterprise data, integrating LLMs with grounded approaches (RAG), implementing IaC and secure deployment practices, and driving DevOps and Agile practices across teams.

Qualifications

• 8+ years of experience in full-stack and backend development.
• Experience with AWS and infrastructure as code.
• Knowledge of automated testing and security practices.
• Production experience integrating LLMs with grounded approaches (RAG).

Responsibilities

• Design, develop, and operate scalable full-stack cloud applications and data products.
• Lead technical delivery and collaborate with product and design teams.
• Mentor engineers and drive best practices across teams.
• Build responsible AI capabilities integrated with enterprise data.

Skills

Full-Stack Development

React

TypeScript

Node.js

AWS

Serverless Architecture

Terraform

Infrastructure as Code

API Development

Data Engineering

Large Language Models

Retrieval-Augmented Generation

DevOps

Automated Testing

Technical Leadership

Agile Development

Tools

Terraform

Job description

Hyatt in Chicago seeks a senior full-stack engineer to design, develop, and operate scalable cloud applications using AWS, React, TypeScript, and serverless services. You will lead technical delivery, collaborate with product and design teams, and mentor engineers.

Responsibilities include building data products with enterprise data, integrating LLMs with grounded approaches (RAG), implementing IaC and secure deployment practices, and driving DevOps and Agile practices across teams.