Senior 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. Position Summary:    CVS Health is looking for hands-on, passionate, driven Sr Software Development Engineer to join a high energy and growing team to make a difference in customers' lives and who wants to be on the forefront of digital innovation that aims to reinvent what a pharmacy and a health care company can be in the digital world. This Engineer will be a part of our Aetna Technology organization which is comprised of numerous teams that support, enhance, and create new programs and services that support our suite of clinical and interoperability products. The development of these programs will help build our next-generation platform to ensure the delivery of use cases into products focusing on helping people live healthier lives. In this role and within this team, you will work on applications and products that are on the forefront of technology. Required Qualifications 5+ years in software development; 2+ years in AI/ML-focused projects. 2+ years of programming experience in Python and experience with machine learning libraries such as scikit-learn, TensorFlow, and PyTorch. 2+ years' experience with Gen AI/LLM/NLP/MLOps or similar methodologies. Backend development experience (enterprise-class apps). Knowledge of NLP and prompt engineering. Experience with CI/CD, Git, automated testing. Experience with cloud platforms (Azure, AWS, or GCP) and containerization technologies (Docker, Kubernetes). Ability to set up and optimize data stores (RDBMS/NoSQL). Experience fine-tuning LLMs/SLMs Experience with Retrieval-Augmented Generation (RAG) is a plus Solid understanding of rule-based processing and data-driven content generation Understanding of architecture best practices to enable scalable solutions for data engineering pipelines Preferred Qualifications: • Experience in Writing automated unit and mock test cases for code coverage • Deployment and troubleshooting application in Cloud environment (GCP) • Experience with Kubernetes, Apigee, GCP -GKE, Dataflow, Airflow. MongoDb, SQL, Postgres SQL, SOAP services, IntelliJ and Devops: Git, Jenkins, Github Actions • Experience in log ingestion and building dashboards using Prometheus and Grafana • Use of OAuth2.0 and JWT tokens • Proficiency in SQL and NoSQL database technologies • Query and decipher logging entries by application tiers and components using trace logs • Form requests in tooling like Postman , SOAP UI to invoke endpoints • Experience working in a Scrum/Agile development methodology • Ability to work independently and part of a team • Healthcare Domain experience • Experience developing computational methods and algorithms. • Experience in software development.Hands-on with React and front-end development. • Familiarity with microservices, containerization (Docker, Kubernetes). • Experience with LangChain, LangGraph, and GenAI frameworks. • Strong communication and collaboration skills. • Understanding of AI/ML infrastructure on cloud platforms. • Exposure to MLOps practices and tools. • Education:    • Bachelor’s degree or equivalent experience (Highschool diploma plus 4 years relevant work experience) Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $83,430.00 - $203,940.00 This pay range represents the base hourly rate or base annual full-time salary for