Software Development Engineer

CVS Health is committed to building a more connected and compassionate health experience. The Software Development Engineer will be responsible for developing and maintaining AI-powered applications and services while collaborating with various teams to ensure the delivery of high-quality solutions.

Responsibilities:

• Designing, developing, testing, and maintaining scalable AI-powered applications, platform services, APIs, and automation solutions that support enterprise AI initiatives
• Partnering closely with Product, Architecture, Data Science, Operations, Security, and Platform Engineering teams to deliver reliable, secure, and high-performing solutions across cloud environments
• Contributing to AI Platform products and foundational services, including LLM integrations, AI agents, observability, governance, redaction, analytics, and developer productivity tools while ensuring adherence to enterprise standards and best practices

Requirements:

• 3+ years of software development experience building enterprise-grade applications and services
• Strong proficiency in one or more programming languages such as Python, Java, JavaScript/TypeScript, or Go
• Experience developing and consuming RESTful APIs and microservices architectures
• Hands-on experience with cloud platforms such as GCP, Azure, or AWS
• Knowledge of CI/CD pipelines, source control systems (Git/GitHub), and automated deployment practices
• Experience with containerization technologies such as Docker and Kubernetes
• Understanding of software design patterns, object-oriented programming, and scalable system design
• Familiarity with databases, data modeling, and data integration techniques
• Strong analytical, problem-solving, and troubleshooting skills
• Ability to work effectively in Agile/Scrum development environments
• Excellent written and verbal communication skills with the ability to collaborate across technical and business teams
• Experience building solutions utilizing Generative AI, LLMs, RAG architectures, AI agents, or machine learning services
• Experience with AI Platform services such as model gateways, observability, evaluation frameworks, or governance tooling
• Knowledge of OpenTelemetry, monitoring, logging, and operational excellence practices
• Experience with API security, authentication, and authorization technologies (OAuth2, SSO, APIGEE, PING, etc.)
• Familiarity with vector databases, prompt engineering, model evaluation, and AI safety/governance concepts
• Experience with Snowflake, BigQuery, Kafka, or large-scale data processing platforms
• Exposure to healthcare, highly regulated industries, or secure data handling practices
• Experience leading technical initiatives, mentoring engineers, and driving engineering best practices