Senior Full-Stack Software Engineer

Vizient•Chicago, IL

23h

About The Position

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Requirements

React
TypeScript
Node.js
modern data platforms
responsive, accessible, and intuitive user experiences
reusable components
scalable APIs
backend services
integrations
data-access layers
relational data models
enterprise data products
AI services
large language models (LLMs)
agentic workflows
intelligent automation capabilities
secure authentication
authorization
application security
automated testing
CI/CD pipelines
cloud-native deployment practices
logging
monitoring
tracing
operational metrics
production troubleshooting
performance optimization
AI-enabled development tools
engineering automation

Nice To Haves

Contribute to agentic composition patterns and intelligent application experiences, including orchestration, tool integration, and human-in-the-loop workflows.

Responsibilities

Design, develop, test, and maintain cloud-native applications using React, TypeScript, Node.js, and modern data platforms.
Deliver end-to-end solutions across presentation, application, integration, and data layers.
Develop responsive, accessible, and intuitive user experiences and reusable components that improve consistency and delivery speed.
Build scalable APIs, backend services, integrations, data-access layers, and relational data models that support business and analytical workflows.
Integrate applications with enterprise data products, AI services, large language models (LLMs), agentic workflows, and intelligent automation capabilities.
Implement secure authentication, authorization, application security, automated testing, CI/CD pipelines, and cloud-native deployment practices.
Establish observability through logging, monitoring, tracing, and operational metrics, and support production troubleshooting and performance optimization.
Collaborate across product, architecture, AI, data, QA, cloud, and UX teams on solution design, estimation, testing, release planning, and operational readiness.
Leverage AI-enabled development tools and engineering automation throughout the software development lifecycle to improve productivity, quality, and delivery outcomes.