Staff Software Development Engineer

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.

CVS Health is seeking a Staff Software Development Engineer to design, develop and implement digital solutions and systems by applying advanced technical expertise to architect and code software applications, conduct system testing and debugging, collaborate with cross-functional teams, and contribute to the overall technical direction and innovation of digital engineering projects. 

• →Define and drive the long-term application architecture and technology strategy, aligning solutions with business objectives, scalability, security, and operational excellence
• →Lead the design and delivery of cloud-native, distributed applications across Web, Mobile, API, integration, and backend platforms
• →Establish and enforce engineering standards, architectural governance, secure coding practices, and quality benchmarks through design and code reviews
• →Partner with product, engineering, infrastructure, security, and business leaders to drive complex cross-functional initiatives and strategic technology decisions
• →Champion reliability, observability, performance engineering, and SRE practices, including monitoring, incident response, root-cause analysis, and continuous improvement
• →Evaluate and promote adoption of emerging technologies, cloud platforms, and AI-assisted engineering practices to improve developer productivity and solution quality
• →Mentor and guide engineers across teams, fostering technical excellence, innovation, knowledge sharing, and professional growth
• →Drive DevSecOps, CI/CD automation, release engineering, and cloud-native development practices while ensuring solutions meet enterprise standards for scalability, security, maintainability, and compliance
• →Lead the design, development, and operationalization of AI-powered and Agentic AI solutions, leveraging LLMs, RAG, workflow orchestration, and enterprise integrations to improve business outcomes and developer productivity
• →Establish engineering best practices for AI application development, including model evaluation, prompt engineering, observability, security, testing, scalability, and responsible AI adoption
• →Integrate AI capabilities into enterprise platforms and software delivery processes, ensuring solutions are reliable, maintainable, compliant, and aligned with business and technical requirements

• 7+ years of software development experience in enterprise/web applications 
• 5+ years of experience Cloud Technologies like GCP, AWS, Azure, or other public cloud services 
• 5+ years of experience as full stack developer in node.js or Java-based technologies including microservices, and spring boot framework /REST 
• 3+ years of experience in Agile development practices 
• 3+ years of experience applying AI tools such as Claude, GitHub Copilot, or Amazon Q to accelerate software design, development, testing, and code review 

• Experience leading architecture and delivery of scalable, secure, and resilient solutions across web, mobile, API, backend, and integration platforms
• Expertise in distributed systems, microservices, API design, and enterprise-scale application architectures
• Strong cloud-native engineering experience with AWS, Azure, or GCP, and modern platform services
• Proven ability to establish architecture standards, engineering best practices, and technical governance across multiple teams
• Experience driving Site Reliability Engineering (SRE) practices, including observability, incident management, and operational excellence
• Demonstrated success implementing DevOps practices through CI/CD, automation, containerization, and cloud infrastructure management
• Advanced hands-on expertise in Node.js, Java, Spring Boot, REST APIs, microservices, API Gateway technologies, and cloud-native development
• Track record of mentoring engineers, leading cross-functional initiatives, and influencing technology strategy and technical decision-making
• Experience in designing and implementing Agentic AI solutions leveraging LLMs, Retrieval Augmented Generation (RAG), and tool orchestration, to improve developer productivity, operational efficiency, and customer experience
• Led the integration of AI-assisted engineering capabilities into software development workflows, establishing guardrails for security, reliability, observability, and responsible AI adoption
• Built and optimized AI-powered services utilizing platforms such as Azure OpenAI, AWS Bedrock, Google Vertex AI, LangChain, and vector databases, enabling intelligent automation and contextual decision-making
• Developed evaluation frameworks and monitoring strategies to measure AI model quality, hallucination rates, performance, cost, and business impact in production environments
• Healthcare domain expertise in Eligibility, Benefits, Claims/EOBs, Pharmacy (Rx), Accumulators, ID Cards, Plan Documents, and Commercial/Medicare solutions

• Bachelor's degree or equivalent experience (HS diploma + 4 years relevant experience)

The typical pay range for this role is: