Staff Software Engineer - AI-Driven Full-Stack Architect

CVS Health; East Windsor Hill (CT); On-site; USD 107,000 - 284,000; Full time

Job summary

CVS Health is seeking a Staff Engineer to lead architecture, development, and scaling of core applications. You will bridge backend data systems, AI capabilities, and frontend experiences, while guiding dashboards, APIs, and cloud-native services.

You will champion AI-enabled features, build resilient microservices, and mentor teams across frontend, backend, and DevOps. The role emphasizes scalable design, proactive monitoring, and high availability across the stack.

Qualifications

• 7+ years of professional software engineering experience.
• Strong full-stack architecture and scalable app focus.
• Experience with frontend JS frameworks and data visualization.
• Backend APIs, microservices, and data integration.
• AI/ML integration and AI-enabled features.
• DevOps, cloud, CI/CD, containers, IaC.
• Excellent communication of architecture to tech and business.

Responsibilities

• Lead end-to-end design of scalable web apps.
• Architect dashboards for data insights.
• Design secure APIs and data integrations.
• Champion AI enablement in products.
• Advance MFT orchestrations and fault handling.
• Own DevOps, CI/CD, and cloud infrastructure.
• Mentor engineers and shape technical roadmap.

Skills

Full-stack

React/Angular/Vue

API design

AI Integration

DevOps

Cloud platforms

Data Visualization

Education

Bachelor's or Master's degree in Computer Science/Software Engineering/IT

Tools

PostgreSQL

MongoDB

Node.js

Python

Java

C#

Go

REST/GraphQL

Docker

Kubernetes

Terraform

Job description

CVS Health is seeking a Staff Engineer to lead architecture, development, and scaling of core applications. You will bridge backend data systems, AI capabilities, and frontend experiences, while guiding dashboards, APIs, and cloud-native services.

You will champion AI-enabled features, build resilient microservices, and mentor teams across frontend, backend, and DevOps. The role emphasizes scalable design, proactive monitoring, and high availability across the stack.