Principal Software Engineer

CVS Health•New York, CT

21d•$144,200 - $288,400

About The Position

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 Our Utilization Management Analytics Engineering team within the Analytics & Behavior Change (A&BC) division of our Data, Digital, Analytics, Technology (DDAT) organization is seeking a full-stack Principal Software Development Engineer. We are looking for passionate, driven individuals who are ready to use their expertise to guide a team of analytics engineers (UI, software, ML) who support Aetna's UM Data Science, product and Engineering teams. Our work supports operational workflows with our healthcare benefits business, supporting clinical decision makers by offering tools that ensure that the most critical information about our members and their healthcare journey is easily accessible and interpretable when needed. This technical leadership role will help guide a broad technical portfolio of software and machine learning assets that ensure our clinical teams can focus on the complex work of applying their subject matter expertise to ensure the right outcomes for our members. As the healthcare landscape evolves and changes, our team’s work is a crucial part of the overall CVS Health mission: transforming care to drive superior health outcomes and a seamless patient and consumer experience. As a Principal SDE, you will be responsible for building best-in-class full-stack real time applications that integrate advanced analytics capabilities (predictive models, LLMs, vector search) into complex real time applications built within the Google Cloud Platform. You will work on cutting-edge products, leveraging your expertise in cloud technologies, software architecture. You will join a high-caliber engineering team dedicated to delivering impact quickly while ensuring our code base and architecture are constantly maturing, allowing us to iterate quickly while we explore bold technical solutions to incredibly complex problems, and then pivot to scaling execution across the lives of millions.

Requirements

8+ years of software industry experience with 4+ years as a technical leader.
8+ years involved in requirements analysis, estimation within a formal SDLC.
8+ years of mastery with development languages (Python, Java).
5+ years leading technical architecture initiatives that impact many value streams.
5+ years designing and developing real time distributed systems to handle huge loads.
5+ years architecting solutions in any major cloud services, Preferable GCP.
5+ years with micro-services architecture, APIs, real-time system integrations.
3+ years of building Machine learning models and deploying them in production environment along with real time application integration.
2+ years of hands on experience building LLM pipelines using OCR and various LLM models like Claude, Gemini, GPT 4, GPT 4.0 etc.
2+ years of hands of experience on building UI components (React JS, Angular).
Bachelor's degree in Computer Science or a closely related discipline, or an equivalent combination of formal education and experience.

Nice To Haves

Experience building and operating large-scale real-time applications
Knowledge in GCP architecture, commands and experience designing & optimizing ML, software and data engineering patterns
Knowledge on best practices of current LLM models in the market.
Ability to manage multiple competing priorities with minimal supervision.
Self-directed.
Excellent communications and presentation skills with the ability to communicate effectively in visual, verbal, and written form to teams, clients, and leadership.
Strong architectural skills, including diagramming
Software or analytics experience within the healthcare industry.
Experience in building large scale CI/CD and DevOps pipelines.
Experience related to security-oriented projects.
Master's degree is a plus

Responsibilities

Building best-in-class full-stack real time applications that integrate advanced analytics capabilities (predictive models, LLMs, vector search) into complex real time applications built within the Google Cloud Platform.
Guiding a team of analytics engineers (UI, software, ML) who support Aetna's UM Data Science, product and Engineering teams.
Supporting operational workflows with our healthcare benefits business, supporting clinical decision makers by offering tools that ensure that the most critical information about our members and their healthcare journey is easily accessible and interpretable when needed.
Guiding a broad technical portfolio of software and machine learning assets that ensure our clinical teams can focus on the complex work of applying their subject matter expertise to ensure the right outcomes for our members.