About The Position

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 ourselves accountable 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. We're looking for a Senior Software Development Engineer to design and build intelligent messaging and Agentic AI systems on Google Cloud Platform. You'll work on platforms that deliver billions of patient communications annually - developing AI-powered conversational flows, scalable messaging infrastructure, and compliant communication pipelines across SMS and RCS channels.

Requirements

  • 5+ years of software development experience with production-grade systems
  • Proficiency in one or more of: Node JS, Python, Java, or Go
  • Hands-on experience with GCP services — Pub/Sub, BigQuery, Cloud Run, GKE, or Vertex AI
  • Experience building or integrating SMS/RCS messaging systems (10DLC, short codes, toll-free, or carrier APIs)
  • Familiarity with TCPA compliance requirements and consent/opt-out system design

Nice To Haves

  • Experience with Vertex AI Agent Builder, LangChain, LlamaIndex, or similar agentic frameworks
  • Knowledge of RCS Business Messaging (RBM) or Google Jibe APIs
  • HIPAA-aware development practices in a health care environment
  • GCP Professional certifications (Cloud Developer, ML Engineer, or equivalent)
  • Experience with real-time streaming (Pub/Sub, Kafka, Dataflow)

Responsibilities

  • Design, build, and operate production Agentic AI systems using Vertex AI, Gemini models, and GCP-native tooling
  • Develop and maintain enterprise SMS and RCS messaging services - routing, delivery tracking, opt-in/opt-out handling, and vendor integrations
  • Implement and enforce TCPA compliance controls including consent management, suppression logic, quiet hours, and audit logging
  • Build event-driven, cloud-native architectures on GCP (Pub/Sub, Dataflow, Cloud Run, GKE, BigQuery)
  • Collaborate with ML engineers to integrate RAG pipelines, tool-use agents, and LLM-based workflows into messaging products
  • Participate in on-call rotations; drive reliability improvements through SLIs, SLOs, and blameless postmortems

Benefits

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