Staff Software Development Engineer

CVS Health•Washington, NV

3d•$106,605 - $284,280

About The Position

CVS Health is seeking a highly skilled Staff Engineer to lead the architecture, development, and scaling of core applications. The role connects backend data systems, AI capabilities, and frontend experiences, with hands-on responsibility for interactive dashboards, resilient backend microservices, and integrations with diverse data objects and third-party systems. The engineer will champion DevOps practices and embed AI-driven features into products to automate workflows and provide intelligent insights. Working across application development, data integration, and cloud operations, this technical leader will guide technical strategy, mentor engineering teams, and promote operational excellence across the technology stack. The position includes a base pay range of $106,605.00–$284,280.00, with eligibility for a CVS Health bonus, commission or short-term incentive program, and an equity award target. The role is full-time and eligible for a benefits package that supports colleagues’ physical, emotional, and financial well-being, subject to eligibility.

Requirements

At least 7 years of professional software engineering experience focused on full-stack development, system architecture, and scalable applications.
Mastery of modern JavaScript or TypeScript frameworks such as React, Angular, or Vue, including complex state management and data visualization libraries such as D3.js, Recharts, or Highcharts.
Deep expertise in server-side languages and frameworks such as Node.js, Python, Java, C#, or Go; demonstrated ability to design scalable microservices and event-driven architectures.
Strong experience with relational and NoSQL databases, ORMs, and integrating complex, high-volume data feeds into application layers.
Hands-on experience integrating AI models and APIs, such as OpenAI or Anthropic, into software products; familiarity with AI orchestration frameworks and vector databases.
Expert-level knowledge of AWS, Azure, or GCP; proficiency with CI/CD tools, containerization, and Infrastructure as Code tools such as Terraform or CloudFormation.
Strong analytical problem-solving skills and ability to translate complex business requirements into technical solutions.
Excellent communication skills, including the ability to explain architectural decisions to technical teams and business stakeholders.
Bachelor's or master's degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent practical experience.

Nice To Haves

Experience building internal developer platforms or self-service tooling for engineering teams.
Familiarity with data streaming technologies such as Apache Kafka or RabbitMQ for real-time integrations and API-driven MFT integrations.
Experience with secure software development lifecycle (DevSecOps) practices and data compliance.
Experience supporting, designing, or enabling AI-ready architectures and workflows.
Familiarity with healthcare data, HIPAA regulatory compliance, and healthcare insurance feeds.

Responsibilities

Lead end-to-end design, architecture, and development of scalable web applications, including responsive frontends and backend services.
Architect and implement interactive dashboards and user interfaces that make complex data insights intuitive, performant, and accessible.
Design and develop secure, scalable REST and GraphQL APIs and integration layers connecting applications with data objects, enterprise databases, and third-party platforms.
Integrate AI and machine-learning technologies, including LLMs, generative AI, and predictive analytics, into core products; develop features that automate workflows and synthesize data.
Build and enhance managed file transfer (MFT) automations with complex orchestration, intelligent error handling, proactive monitoring, and self-service capabilities.
Drive continuous delivery and cloud-native practices; architect, maintain, and optimize CI/CD pipelines, containerized deployments, and Infrastructure as Code.
Establish standards for monitoring, logging, and performance profiling; resolve complex full-stack production issues and lead root-cause analysis.
Mentor frontend, backend, and DevOps engineers; establish coding standards and reusable patterns; collaborate with product leadership on backlog grooming and the technical roadmap.