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Staff Software Development Engineer - NodeJs and AI
We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.
POSITION SUMMARY
CVS Health is seeking hands-on, passionate technologists who want to join a high-energy team driving digital innovation at the intersection of healthcare and AI. Our mission is to reimagine what a pharmacy and healthcare company can deliver in the digital age-improving outcomes for patients and operational efficiency for healthcare professionals.
We are looking for a Staff Software Development Engineerwith expert-level backend engineering knowledge to build enterprise AI platform capabilities that automate workflows and accelerate healthcare solutions. This role requires collaboration across business, operations, engineering teams, and leadership to deliver production-grade infrastructure that makes a measurable difference.
You'll architect and deliver core platform services including workflow orchestration engines, multi-provider LLM integration, automated deployment pipelines, and production observability infrastructure. Your work will directly reduce manual processes, accelerate time-to-production for AI applications, and enable teams to focus on healthcare innovation rather than infrastructure complexity.
The right candidate is a proven analytical thinker who can decompose complex technical challenges, mentor engineers, drive architectural decisions, and deliver measurable automation outcomes. We value collaboration and mutual growth-join us if you share that commitment.
Expectations for the Role:
- Architect and deliver enterprise AI platform capabilities including workflow orchestration engines, multi-provider LLM integration, and automated deployment pipelines that enable healthcare teams to build and deploy AI applications at scale
- Design multi-tenant infrastructure with automated provisioning, namespace isolation, and role-based access control to support secure, per-team dedicated environments across the platform
- Build backend services and APIs for workflow authoring, execution orchestration, and platform observability using cloud-native patterns on Kubernetes infrastructure
- Implement production observability and reliability practices including distributed tracing, performance monitoring, and incident response for platform health and cost management
- Drive technical architecture decisions across the platform, mentor engineers on design patterns, security best practices, and operational excellence
- Partner with business stakeholders, product teams, and engineering leadership to align platform roadmap with healthcare automation objectives and adoption strategy
- Champion security posture including secrets management, audit logging, compliance requirements, and production readiness standards
REQUIRED QUALIFICATIONS
- 7+ overall years of software engineering experience building and delivering production-grade backend services, distributed systems, and platform infrastructure
- 5+ years of backend development experience with modern programming languages and frameworks (Python, Node.js, or Java) including REST/GraphQL APIs, microservices architecture, and asynchronous processing using message brokers (Kafka or Similar)
- 3+ years building highly available, scalable backend platform services with cloud-native infrastructure including Kubernetes, containerized deployments, and CI/CD pipelines
- 2+ years of experience with Google Cloud Platform including Google Kubernetes Engine (GKE), Cloud Storage, and cloud-native service deployment
- 2+ years of technical leadership including architecture decision-making, design reviews, and mentoring engineers
- 1+ years with LLM integration, AI application development, or intelligent automation systems including prompt engineering and model orchestration
PREFERRED QUALIFICATIONS
- Experience with agentic AI frameworks and orchestration tools (LangGraph, LangChain, Crew AI, or similar) for building multi-agent systems and workflow automation
- Experience building and operating large-scale distributed systems with strong observability practices and telemetry-driven decision making
- Strong collaborationand communication skills with proven track record of mentoring engineers and adapting quickly to changing requirements
- Multi-tenant platform architecture and role-based access control implementation
- Experience with managed AI/ML cloud services, modern JavaScript frameworks, and analytics platforms
- Experience working in Agile/Scrum development methodology
- Commitment to engineering excellence including code reviews, automated testing, and quality gates
- Healthcare domain knowledge or experience building healthcare technology solutions
Education
Bachelor's degree, or equivalent experience (HS diploma + 4 years relevant experience)
Pay Range
The typical pay range for this role is:
$106,605.00 - $284,280.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
Additional details about available benefits are provided during the application process and on Benefits Moments.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
