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CVS Health logo
CVS Health

Bringing our heart to every moment of your health.

Senior Software Development Engineer

Full-stack EngineerSoftware EngineerFull TimeRemoteSeniorTeam 10,001+Since 1963H1B No SponsorCompany SiteLinkedIn

Location

Washington

Posted

6 days ago

Salary

$102.0K - $203.9K / year

Seniority

Senior

Job Description

Senior Software Development Engineer

CVS Health

• 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 • 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

Job Requirements

  • 5+ overall years of software engineering experience building and delivering production-grade backend services, distributed systems, and platform infrastructure
  • 3+ 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
  • 1+ years with LLM integration, AI application development, or intelligent automation systems including prompt engineering and model orchestration

Benefits

  • medical, dental, and vision coverage
  • paid time off
  • retirement savings options
  • wellness programs
  • other resources, based on eligibility

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