Staff Software Development Engineer - Cost Estimation & Navigation AI

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.

The Cost Estimation and Navigation AI portfolio at CVS Health is seeking a Staff Software Development Engineer to help build solutions that simplify healthcare navigation and improve the experience for the people we serve.

This portfolio includes Cost Estimator, Benefit Quoting, and Digital Consumer Products, supporting key moments across the healthcare journey from plan selection through active care navigation. These solutions help members, prospective members, customer service agents, and providers access clearer information about cost, benefits, and care options so they can make more informed decisions.

As a Staff Software Development Engineer, you will help design, build, and deliver modern cloud-based applications within a complex distributed systems environment on Google Cloud Platform. You will contribute across architecture, system design, and implementation, helping deliver scalable, reliable solutions while strengthening the long-term technical foundation of the portfolio.

This role offers the opportunity to work on high-impact products that support healthcare decisions and make complex information more accessible and actionable for a broad set of users.

Responsibilities

• Lead the design, development, and delivery of scalable software solutions within the Cost Estimation & Navigation AI portfolio
• Drive architecture and technical design across distributed services, APIs, and platform components to support scalability, resiliency, security, and long-term maintainability
• Partner with product, data science, and engineering teams to translate business priorities and portfolio use cases into production-ready technical solutions
• Provide technical leadership across complex initiatives by guiding implementation decisions, managing dependencies, and addressing engineering tradeoffs
• Design, build, and enhance cloud-native applications, microservices, and APIs using modern service, interface, and messaging patterns
• Define and ensure achievement of non-functional requirements, including performance, availability, failover, scalability, and security
• Evaluate existing architectures and recommend improvements to reliability, operability, flexibility, and cost efficiency
• Lead proof-of-concept development and technical exploration for emerging technologies, including AI/GenAI-enabled capabilities relevant to portfolio needs
• Apply knowledge of data and analytics technologies, including orchestration, non-relational data stores, caching, and large-scale service integration patterns
• Mentor engineers and contribute to engineering excellence through design reviews, code reviews, and technical guidance
• Communicate effectively with technical and non-technical stakeholders to build alignment across teams and organizational boundaries
• Ensure solutions are designed and delivered in compliance with regulatory, privacy, and security requirements, including secure handling of PII and PHI data

Required Qualifications

• 7+ years of experience delivering enterprise-scale software solutions in distributed systems environments
• 5+ years of experience in one or more programming languages such as Java, Python, Go, or JavaScript
• 5+ years of hands-on experience designing, building, and operating cloud-based enterprise solutions
• 5+ years of experience designing and developing modern microservices and scalable, cost-effective APIs
• 3+ years of experience with CI/CD pipelines, automated testing, and DevOps practices
• 3+ years of experience with containerization and orchestration technologies such as Docker and Kubernetes
• Experience working with AI/GenAI platforms and applying intelligent capabilities within software products

Preferred Qualifications

• Healthcare domain experience
• Experience building and operating solutions on Google Cloud Platform, including GKE, Cloud Run, Cloud Build, Pub/Sub, Cloud SQL, and IAM
• Strong understanding of software design principles, distributed systems, and scalable architecture patterns
• Experience influencing technical …