Senior Software Development Engineer (Java, Nest, React)
CVS HealthAbout the role
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.
Role Overview
As a Senior Software Engineer, you will design, develop, and implement innovative digital solutions by leveraging advanced technical expertise. You will play a key role in building scalable applications and APIs, contributing to system architecture, driving AI-enabled innovation, and collaborating with cross-functional teams to deliver impactful business outcomes. This role requires strong hands-on experience in backend development, cloud-native architectures, and API design using Java Spring Boot, Node.js and GraphQL.
Key Responsibilities
- Contribute to architecture decisions, technical design, and evolution of enterprise digital solutions and API-driven platforms while partnering with senior engineers and architects.
- Develop, test, deploy, and maintain software applications and backend services while implementing complex business requirements.
- Design and build scalable, secure, and high-performance APIs using Java Spring Boot, Node.js, REST, and GraphQL technologies.
- Identify and deliver AI-driven solutions that improve operational efficiency, automate business processes, and reduce costs.
- Collaborate with engineering teams, product owners, and business stakeholders to make strategic architectural decisions and ensure scalability, performance, security, and maintainability.
- Apply advanced programming skills to build robust, efficient, and high-performing software solutions.
- Integrate multiple applications, services, third-party systems, and cloud platforms to enable seamless interoperability across the enterprise.
- Conduct code reviews, develop and execute test plans, troubleshoot production issues, and ensure delivery of reliable, high-quality solutions.
- Participate in Agile development processes, contribute to sprint planning, and support successful project execution.
- Evaluate emerging technologies, frameworks, AI capabilities, and development tools to drive innovation and continuous improvement.
- Create and maintain technical documentation, including architecture diagrams, API specifications, design documents, and implementation guides.
- Mentor junior engineers, promote engineering best practices, and foster a culture of technical excellence and knowledge sharing.
Required Qualifications
- 5 to 7 years of professional software development experience.
- Strong experience in backend application and API development using Java SpringBoot, Node.js, and GraphQL.
- Experience developing and deploying containerized applications on Kubernetes platforms, including API security and authentication mechanisms.
- Experience implementing observability solutions including logging, monitoring, distributed tracing, and alerting.
- Solid understanding of API design principles, microservices architecture, distributed systems, and cloud-native application development.
- Strong analytical, problem-solving, and decision-making abilities.
- Proven ability to collaborate effectively within cross-functional teams.
- Demonstrated growth mindset with a commitment to continuous learning and mentoring others.
- Strong execution and delivery skills, including planning, implementation, deployment, and production support.
Preferred Qualifications
- Experience building and deploying applications using technologies such as Gradle, GraphQL, NestJS, and GitHub Actions within CI/CD environments.
- Hands-on experience developing AI-powered solutions, Generative AI applications, Agentic AI workflows, and Model Context Protocol (MCP) servers.
- Experience with Google Cloud Platform (GCP) and Kubernetes-based cloud deployments; GCP certification is a plus.
- Practical experience using AI-assisted development tools such as GitHub Copilot, Claude Code, Cursor, or similar technologies to improve engineering productivity.
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