Staff Platform Architect - AI, Dashboards & Cloud

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

Job summary

CVS Health is seeking a highly skilled Staff Engineer to lead the architecture, development, and scaling of core applications. You will bridge backend data systems, AI capabilities, and frontend experiences.

As a hands-on technical leader, you will design microservices, deploy AI-enabled features, and drive DevOps practices while mentoring teams across frontend, backend, and DevOps. This role focuses on payer operations optimization and measurable AI-driven insights.

Qualifications

• 7+ years of professional software engineering experience with a focus on full-stack development and scalable architectures.
• Experience with modern JS/TS frontends and data visualization libraries.
• Proven ability to design microservices and event-driven systems.

Responsibilities

• Lead end-to-end design, architecture, and development of scalable web applications spanning frontend to backend.
• Architect rich dashboards and data visualization interfaces surface complex insights.
• Build secure, scalable APIs and data integrations with diverse systems and data objects.
• Champion AI-enabled features and integrate AI models into core products to automate workflows.
• Drive DevOps practices, CI/CD pipelines, containers, and IaC for high availability and fast releases.
• Mentor frontend, backend, and DevOps engineers; set coding standards and roadmaps.

Skills

Full-stack development

System architecture

Data visualization

React/Angular/Vue

Node.js/Python/Java/C#/Go

PostgreSQL/MongoDB

AI integration (OpenAI/LangChain)

Cloud & DevOps (AWS/Azure/GCP)

CI/CD & Automation

Communication & leadership

Education

Bachelor's or Master's in CS/SE

Tools

Docker

Kubernetes

Terraform/CloudFormation

GitHub Actions

Job description

CVS Health is seeking a highly skilled Staff Engineer to lead the architecture, development, and scaling of core applications. You will bridge backend data systems, AI capabilities, and frontend experiences.

As a hands-on technical leader, you will design microservices, deploy AI-enabled features, and drive DevOps practices while mentoring teams across frontend, backend, and DevOps. This role focuses on payer operations optimization and measurable AI-driven insights.