Staff Engineer: AI-Driven Full-Stack & Cloud Architect

CVS Health; Ohio; On-site; USD 107,000 - 284,000; Full time

Job summary

CVS Health in the United States 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, delivering rich dashboards and resilient microservices.

You will mentor teams, champion DevOps, and embed AI-driven features to automate workflows and provide intelligent insights across payer operations and data platforms.

Qualifications

• 7+ years of software engineering experience with focus on full-stack development.
• Experience designing scalable architectures and microservices.
• Strong frontend/back-end integration and data visualization know-how.
• Hands-on with AI models/APIs and data pipelines.
• Proficient in cloud platforms and DevOps practices.

Responsibilities

• Lead end-to-end design and development of scalable web applications.
• Architect dashboards and data visualization for complex insights.
• Build secure APIs and data integration layers.
• Drive AI-enabled features and orchestration across products.
• Champion CI/CD, containers, and IaC for reliable releases.
• Mentor frontend, backend, and DevOps engineers; shape technical roadmap.
• Navigate ambiguity and align stakeholders with clear technical decisions.

Skills

Full-stack development

Architectural design

Dashboards & visualization

AI integration

DevOps & cloud

Mentoring

Communication

Self-starter

Education

Bachelor's or Master's in CS/SE

Tools

Docker

Kubernetes

Terraform

OpenAI / Anthropic

LangChain

PostgreSQL

MongoDB

GitHub Actions

Job description

CVS Health in the United States 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, delivering rich dashboards and resilient microservices.

You will mentor teams, champion DevOps, and embed AI-driven features to automate workflows and provide intelligent insights across payer operations and data platforms.