Staff Software Development Engineer

CVS HealthAlpharetta, GA
$118,450 - $284,280

About The Position

CVS Health is seeking a hands-on Staff Software Development Engineer to join a high-energy team driving AI transformation at the intersection of healthcare and digital innovation. The Staff Software Development Engineer will be involved throughout the entire development life cycle — designing and building enterprise AI platform capabilities that empower engineering and healthcare teams to develop, deploy, and operate AI-powered applications at scale. The role spans the full stack across cloud-native backend services, APIs, and front-end interfaces using Node.js, React, and/or Java on GCP, AWS, or equivalent platforms, and requires the ability to deliver efficient, production-grade solutions while identifying and mitigating risks before deployment. The ideal candidate brings strong full-stack engineering fundamentals, a track record of technical leadership and peer mentorship, and a genuine interest in using technology to accelerate AI adoption and reduce manual processes across a large-scale healthcare organization.

Requirements

  • 7+ years of software development experience in enterprise or web applications
  • 5+ years of full-stack development experience using Node.js, React, and/or Java (Spring Boot), including building and consuming RESTful APIs and microservices
  • 5+ years of hands-on experience with cloud-native development on GCP, AWS, or equivalent public cloud platforms; familiarity with open-source ecosystems including Apache, Google Cloud, and Spring
  • 3+ years of front-end development using React or comparable modern UI frameworks, with demonstrated ability to build responsive, component-driven UIs and establish effective engineering practices
  • 3+ years of experience with relational and non-relational databases — including SQL, NoSQL, schema/table design, and data modeling
  • 3+ years working within Agile delivery models (Scrum, Kanban, or equivalent)

Nice To Haves

  • Experience with agentic AI frameworks and orchestration tools (LangGraph, LangChain, CrewAI, or similar) for building multi-agent systems and workflow automation; familiarity with managed AI/ML cloud services and analytics platforms is a plus
  • Proven ability to design and operate large-scale distributed systems with strong observability practices, multi-tenant architecture patterns, and role-based access control
  • Strong collaboration and communication skills, with a track record of mentoring engineers, driving code quality through reviews and automated testing, and delivering in Agile/Scrum environments
  • Healthcare domain knowledge or prior experience building healthcare or regulated-industry technology solutions

Responsibilities

  • Design and build full-stack platform capabilities — spanning backend services, APIs, and front-end interfaces — that enable engineering and healthcare teams to develop, deploy, and operate AI-powered applications at scale
  • Implement cloud-native, microservices-based infrastructure supporting workflow orchestration, multi-provider LLM integration, and automated deployment pipelines on GCP, AWS, or equivalent platforms
  • Develop and maintain platform observability, reliability, and security foundations including distributed tracing, role-based access control (RBAC), secrets management, and compliance-aligned production readiness standards
  • Contribute to technical direction, participate in architecture reviews, mentor peers on engineering best practices, and collaborate with product and business stakeholders to deliver against the company's AI transformation roadmap

Benefits

  • medical
  • dental
  • vision coverage
  • paid time off
  • retirement savings options
  • wellness programs
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