Staff Software Engineer, AI-Driven Cost & Navigation

CVS Health Corporation

Town of Vermont (WI)

Hybrid

USD 107,000 - 284,000

Full time

6 days ago

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Job summary

CVS Health Corporation is seeking a Staff Software Development Engineer to design, build, and deliver cloud-based, scalable software within a complex distributed ecosystem. You will collaborate with product and data science teams to translate business needs into production-ready solutions and lead architecture decisions for secure, scalable services.

You will mentor engineers, ensure robust non-functional requirements, and explore emerging AI capabilities to enhance portfolio offerings while

Qualifications

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

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