CVS Health
Senior Software Development Engineer - Microservices
$93K–$204K
CT - Hartford +1 · Hybrid · Senior · Full-time · Posted Oct 14, 2026
- Location
- CT - Hartford
TX - Irving - Experience
- 5+ years of software engineering experience; 2+ years in a technical leadership role.
- Education
- Master's degree preferred in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field. Relevant industry certifications are also noted.
About the job
Provides technical leadership in building, modernizing, and supporting cloud-native applications for prior authorization operations, including AI-powered workflow automation and decision support.
What you'll do
- Design, develop, modernize, and support scalable applications and microservices.
- Implement production AI solutions for workflow automation, document processing, and decisioning.
- Provide technical leadership, collaborate across teams, and promote engineering best practices.
What they ask for
- 5+ years of software engineering experience designing and supporting enterprise-scale applications.
- 2+ years as a Technical Lead, Senior Engineer, or in an equivalent technical leadership role.
- Strong Python development experience and expertise with Google Cloud Platform (GCP), microservices, distributed systems, and RESTful APIs.
- Hands-on experience with Kubernetes (GKE), Docker, CI/CD, event-driven or streaming solutions, cloud-native data technologies, and production Generative AI, LLM, RAG, and AI Agent solutions.
Nice to have
- Healthcare, pharmacy benefit management, utilization management, or prior authorization experience.
- Experience with AI workflow automation, regulated AI applications, MLOps, AI governance, cloud modernization, or document intelligence.
Pay
$92,700.00 - $203,940.00 USD base salary (base hourly rate or base annual full-time salary; posting does not specify which applies to this role).
Tools
Python, FastAPI, Flask, Google Cloud Platform (GCP), Kubernetes (GKE), Docker, Kafka, BigQuery
AI focus
Build and operationalize Generative AI, LLM, RAG, and agentic AI solutions; integrate AI platforms and support prompt engineering, model evaluation, intelligent workflow automation, and decisioning.
Model-written summary · the original posting is authoritative