Staff Software Architect: AI-Driven Full-Stack & DevOps Leader

CVS Health; Santa Fe (NM); On-site; USD 107,000 - 284,000; Full time

Job summary

CVS Health seeks a Staff Engineer to lead architecture, development, and scaling of core applications, bridging backend data systems, AI capabilities, and intuitive frontend experiences.

You will design dashboards, build resilient microservices, and orchestrate integrations with data objects and third-party platforms, while championing DevOps and embedding AI features to automate workflows and deliver insights.

Qualifications

• 7+ years of professional software engineering experience with a focus on full-stack development.
• Experience with modern JavaScript/TypeScript frameworks and data visualization libraries.
• Strong backend and API design for scalable microservices.
• Experience integrating AI models and LangChain into products.
• Cloud proficiency (AWS/Azure/GCP) and CI/CD tooling (CI/CD, IaC).
• Excellent communication and ability to mentor engineers.

Responsibilities

• Lead end-to-end design, architecture, and development of scalable web apps.
• Architect dashboards and data visualizations for complex insights.
• Design secure APIs and data integrations across systems.
• Champion AI enablement and integration into core products.
• Drive DevOps, cloud infra, CI/CD pipelines, and IaC.
• Mentor frontend, backend, and DevOps engineers; shape tech roadmap.

Skills

Full-stack architecture

Frontend frameworks

Backend microservices

AI integration

DevOps & CI/CD

Data visualization

Leadership

Education

Bachelor's degree in CS/SE

Tools

React

Angular

Vue

Node.js

Python

Java

C#

Go

PostgreSQL

MongoDB

LangChain

OpenAI API

Terraform

Kubernetes

Docker

GitHub Actions

GitLab CI

Jenkins

Job description

CVS Health seeks a Staff Engineer to lead architecture, development, and scaling of core applications, bridging backend data systems, AI capabilities, and intuitive frontend experiences.

You will design dashboards, build resilient microservices, and orchestrate integrations with data objects and third-party platforms, while championing DevOps and embedding AI features to automate workflows and deliver insights.