Staff Engineer - AI-Driven Apps & Data Dashboards

CVS Health; Wisconsin; 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. You will bridge backend data systems, AI capabilities, and frontend experiences, designing rich dashboards, building resilient microservices, and integrating with diverse data objects and third‑party platforms.

You will guide technical strategy, mentor teams, and focus on optimizing Payer operations to enrich metadata, automate lifecycle contracts, and measure performance across the stack.

Qualifications

• 7+ years of software engineering experience with full‑stack focus.
• Proficient in modern JS/TS frameworks and data visualization.
• Deep server-side experience and scalable microservices design.
• Experience with relational and NoSQL databases and ORMs.
• Hands‑on AI model/API integration experience.
• Public cloud proficiency and CI/CD tooling expertise.

Responsibilities

• Lead end-to-end architecture and development of scalable web apps.
• Design dashboards and data visualization for complex insights.
• Build APIs and data integration layers across systems and third‑party platforms.
• Integrate AI/ML features into core products and automate workflows.
• Drive DevOps, CI/CD pipelines, containerization, and IaC practices.
• Mentor engineers and shape the technical roadmap.

Skills

7+ years software engineering

Frontend frameworks (React/Angular/Vue

Backend & API design

Data integration & databases

AI integration & ML features

DevOps & Cloud (AWS/Azure/GCP)

Effective communication & mentorship

Education

Bachelor's or Master's in CS/SE/IT

Tools

Docker/Kubernetes

PostgreSQL

MongoDB

Terraform/CloudFormation

Job description

CVS Health seeks a Staff Engineer to lead architecture, development, and scaling of core applications. You will bridge backend data systems, AI capabilities, and frontend experiences, designing rich dashboards, building resilient microservices, and integrating with diverse data objects and third‑party platforms.

You will guide technical strategy, mentor teams, and focus on optimizing Payer operations to enrich metadata, automate lifecycle contracts, and measure performance across the stack.