Senior Software Development Engineer

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Logo of CVS Health

CVS Health

10,000+ employees

Founded 1963

⚕️ Healthcare Insurance

🛒 Retail

🧘 Wellness

Healthcare Insurance • Retail • Wellness

CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.

📋 Description

• 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

🎯 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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