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.

Position Summary
The Senior Software Engineer will lead the design, development, testing, deployment, and ongoing support of enterprise-grade software applications. This role requires advanced full-stack engineering experience, strong backend and cloud architecture skills, and the ability to deliver scalable, secure, AI-enabled solutions in collaboration with product, business, and engineering stakeholders.

Key Responsibilities

• Design, develop, enhance, and maintain enterprise software applications using Python, TypeScript/JavaScript, React, and modern backend frameworks.

• Architect, build, and operate RESTful APIs and microservices that support scalable, production-grade business capabilities.

• Apply microservice architecture patterns, including service decomposition, inter-service communication, API gateway patterns, and event-driven design.

• Design reliable data models and optimize relational database solutions using PostgreSQL; evaluate NoSQL and vector database options where appropriate.

• Implement secure application patterns, including authentication, authorization, input validation, rate limiting, and secrets management.

• Own containerized deployment practices using Docker, Kubernetes, and GKE, including production-readiness and operational support.

• Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, or comparable platforms.

• Lead practical integration of LLMs into production applications, including prompt engineering, retrieval-augmented generation, embeddings, and model evaluation practices.

• Mentor engineers, guide technical delivery, and partner with business stakeholders to translate requirements into effective technical solutions.

Required Qualifications

• 8+ years of software development experience in enterprise-scale or production environments.

• Strong proficiency in Python and TypeScript/JavaScript; experience with Java is preferred.

• Demonstrated full-stack development capability, including React with TypeScript on the frontend and FastAPI, Spring Boot, or comparable backend frameworks.

• Proven experience designing, developing, and operating RESTful APIs and microservices at scale.

• Strong understanding of microservice architecture patterns, including service decomposition, inter-service communication using REST, gRPC, or message queues, and API gateway patterns.

• Experience implementing event-driven architectures and asynchronous messaging platforms such as Kafka, Pub/Sub, or similar technologies.

• Hands-on database design experience with PostgreSQL, including relational schema design and query optimization; exposure to NoSQL or vector databases is preferred.

• Working knowledge of authentication and authorization patterns, including OAuth2, JWT, and role-based access control.

• Strong understanding of API security best practices, including input validation, rate limiting, and secrets management.

• Experience with Docker and Kubernetes/GKE for containerization and orchestration.

• Experience with CI/CD pipelines using GitHub Actions, Jenkins, or similar platforms, including ownership of the full pipeline lifecycle.

• Hands-on Google Cloud Platform experience with GKE, Cloud Functions, BigQuery, and related services; Azure experience is a plus.

• Experience working in Agile/Scrum development environments.

Preferred Qualifications

• 2+ years of hands-on experience integrating large language models into production applications.

• Practical experience with prompt engineering, retrieval-augmented generation (RAG), and embeddings; familiarity with fine-tuning and model evaluation is preferred.

• Experience with the Anthropic Claude platform, including API usage and Claude Code, or comparable platforms such as OpenAI or Gemini.

• Familiarity with agentic AI patterns and multi-step reasoning workflows.

• Experience building or configuring Model Context Protocol (MCP) servers is strongly preferred.

• Familiarity with logging, tracing, and monitoring practices, including structured logging and distributed tracing.

Education

• Bachelor's degree preferred/specialized training/relevant professional qualification.

Pay Range

The typical pay range for this role is: