Principal Software Development Engineer

CVS Health

About The Position

CVS Health is building a world of health around every individual, aiming to shape a more connected, convenient, and compassionate health experience. The company fosters a workplace where colleagues are passionate, innovative, accountable, and prioritize safety and quality. This role seeks a strategic, hands-on technology leader to modernize the Sales & Acquisition ecosystem. The Principal Software Engineer will lead the design and delivery of a cloud-native platform and shared services to enable scalable, data-driven marketing and sales operations. This pivotal role will accelerate direct-to-consumer (DTC) growth, enhance lead conversion, and enable omnichannel engagement, all while adhering to enterprise architecture standards and modern development practices.

Requirements

Bachelor’s degree in Computer Science, Information Technology, or a related field
10+ years of progressive software engineering experience, with a minimum of 5+ years in a Principal/Staff Engineer or Architecture-focused role
Proficiency in front-end technologies such as Angular and React
Strong back-end development experience in one or more modern languages, such as Python, Java, C#, JavaScript, SQL, etc.
Experience with Python, Java, Spring Boot, and Microservices architecture
Extensive experience with AWS cloud services, including Fargate, Lambda, S3, SQS, CloudFront, and ALB
Strong Knowledge of CI/CD practices and experience with GitHub Actions
Experience with both RDBMS (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, DynamoDB)
Experience working with REST and API development
Exposure to cloud data architecture and analytics, with an understanding of data integration and reporting
Experience with Kafka or similar event-streaming platform
Excellent problem-solving skills and attention to detail
Strong communication and collaboration skills

Nice To Haves

Strong leadership presence — able to influence without authority and drive initiatives across teams
Familiarity with customer data platforms (CDPs), data lakes, and real-time analytics pipelines
Background in sales, acquisition, or lead management systems
Experience with enterprise integration patterns and event-driven architecture

Responsibilities

Lead the architectural vision and system design for the engineering department using a modern technology stack with a core focus on reusability, maintainability, scalability, and performance at scale
Design and implement cloud-native applications and services on AWS tech stack (like Fargate, Amazon Connect, Lambda, S3, SQS, CloudFront, and Application Load Balancer (ALB), AWS Glue), ensuring compliance with healthcare regulations (e.g., HIPAA) and security standards
Develop API guidelines (naming, versioning, documentation using OpenAPI/Swagger) and define architectural standards, and conduct design reviews to manage the API lifecycle
Contribute to improving engineering processes, including code best practices, Agile methodology, CI/CD, DevOps, security, and quality initiatives
Build shared services that support lead generation, customer engagement, consent and permissions management, and conversion optimization across digital and assisted channels
Own the full lifecycle of the application — from architecture and implementation to CI/CD and monitoring
Implement back-end services using Java, Spring Boot, or other modern programming languages and Microservices architecture
Design, develop, and maintain scalable web applications using modern front-end frameworks such as Angular and React
Work with both RDBMS and NoSQL databases to design and optimize data storage solutions
Coordinate with product teams to align technical delivery with business goals and customer needs
Design, develop, and maintain microservices using modern cloud-native frameworks and tools
Build secure, scalable APIs and backend services in a HIPAA-regulated environment
Help define CI/CD pipelines, infrastructure-as-code standards, and observability practices in collaboration with DevOps
Shape real-time data ingestion and analytics pipelines in partnership with data engineering and analytics teams
Integrate various AWS services and third-party APIs to create seamless application workflows
Set up build frameworks and startup projects to ensure efficient development processes and smooth onboarding for new projects
Participate in code reviews, providing constructive feedback to peers and ensuring adherence to best practices
Collaborate with DevOps and infrastructure teams to set up and maintain development, testing, and production environments
Leverage Cursor AI, MCPs, and other AI tooling for assisted development and code reuse
Implement AI-powered tools and solutions to automate tasks, optimize performance, and enhance customer engagement
Troubleshoot and resolve application issues, ensuring high performance and responsiveness
Stay up-to-date with emerging technologies and industry trends to continuously improve software development processes