Staff Engineer: AI-Driven Cloud Platform & Dashboards

8350 Oak Street Health MSO LLC; Utah; Hybrid; USD 107,000 - 284,000; Full time

Benefits offered by this job

Comprehensive benefits

Bonus program

Job summary

CVS Health in Utah is seeking a Staff Engineer to lead the architecture, development, and scaling of core applications. You’ll bridge backend data systems, AI capabilities and frontend experiences, while championing DevOps, cloud practices and secure software delivery.

As a hands‑on technical leader, you will mentor teams, design scalable microservices, build insightful dashboards, and drive AI-enabled features across the product suite, ensuring reliability and rapid release cycles.

Qualifications

• 7+ years of professional software engineering experience with a focus on full‑stack development and scalable applications.
• Experience with modern JS frameworks (React, Angular, Vue) and data visualization libraries.
• Hands‑on experience integrating AI models/APIs and cloud platforms; strong API design and microservices knowledge.

Responsibilities

• Lead architecture and end‑to‑end development of scalable web applications with rich dashboards.
• Design secure, scalable APIs and data integration layers; collaborate across frontend, backend, and DevOps.
• Mentor engineers, enforce coding standards, and drive AI enhancements and DevOps practices across the stack.

Skills

Full-stack

System architecture

Data visualization

API design

AI/ML integration

DevOps & Cloud

Education

BS/MS in Computer Science or related field

Tools

React/TypeScript

Node.js

Python

PostgreSQL / MongoDB

Kubernetes

Terraform

Job description

CVS Health in Utah is seeking a Staff Engineer to lead the architecture, development, and scaling of core applications. You’ll bridge backend data systems, AI capabilities and frontend experiences, while championing DevOps, cloud practices and secure software delivery.

As a hands‑on technical leader, you will mentor teams, design scalable microservices, build insightful dashboards, and drive AI-enabled features across the product suite, ensuring reliability and rapid release cycles.