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Principal Software Development Engineer

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: 9025 CVS Shared Services Resources LLC
Full Time position
Listed on 2026-09-09
Job specializations:
  • Software Development
    Software Architect, Full Stack Developer, Cloud Engineer - Software, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 144200 - 288400 USD Yearly USD 144200.00 288400.00 YEAR
Job Description & How to Apply Below

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

We are seeking a highly experienced Principal / Director-level Full-Stack Software Development Engineer to join our Digital Caremark organization and lead the architecture, design, and delivery of next-generation digital solutions. This role spans AI-enabled applications, scalable digital platforms, and enterprise integrations that power critical healthcare and pharmacy experiences. This is a senior technical leadership role for a hands-on engineer who can operate across the full stack - from intuitive front-end applications to resilient backend services - while setting architectural direction, influencing engineering standards, and mentoring teams.

The ideal candidate combines deep technical expertise, platform thinking, and strong collaboration skills to build secure, scalable, API-first solutions in a highly regulated environment.

Key Responsibilities Architecture & System Design
  • Define and drive architecture for large-scale distributed systems and digital platforms
  • Lead design reviews and set architecture standards and best practices
  • Champion API-first, microservices, and event-driven architecture patterns
  • Ensure systems meet scalability, reliability, security, and compliance requirements
  • Balance performance, cost, and speed in technical decision-making
Full-Stack Engineering
  • Design and develop end-to-end solutions across UI, backend, and data layers
  • Build modern web applications using React, Angular, or similar frameworks
  • Develop scalable services and APIs using Java, Go, Node.js, or Python
  • Optimize performance, resiliency, and security across the stack
AI & Intelligent Solutions
  • Integrate AI/ML and Generative AI capabilities into digital experiences
  • Work with LLM APIs, prompt orchestration, and AI service frameworks
  • Partner with data and ML teams to product ionize models
  • Implement responsible AI practices, governance, and monitoring
Technical Leadership
  • Act as a technical advisor to engineering and product leadership
  • Influence cross-team technical direction and strategy
  • Establish and promote engineering best practices
  • Mentor and coach engineers across levels
Technical Skill Set Backend
  • Java (Spring Boot)
  • Node.js
  • Python
Frontend
  • React
  • Angular
  • Type Script
  • Modern UI frameworks
API & Integration
  • REST
  • GraphQL (Apollo Federation or similar)
  • gRPC
  • Event-driven architecture
  • Kafka or similar messaging systems
Cloud & Dev Ops
  • AWS, Azure, or GCP
  • Kubernetes and Docker
  • CI/CD pipelines
  • Infrastructure as Code (Terraform or similar)
  • Observability tools (Datadog, Prometheus, Grafana, etc.)
Data
  • SQL and No

    SQL databases
  • Caching (Redis or similar)
  • Streaming/event platforms
Required Qualifications
  • 12+ years of software engineering experience
  • 5+ years in senior/principal/architect roles
  • Strong full-stack development experience
  • Proven experience designing distributed systems at a large scale
  • Expertise in API-first and microservices architectures
  • Hands on experience integrating AI/GenAI capabilities
  • Experience building cloud-native applications
  • Strong system design and problem-solving skills
  • Excellent communication and cross-functional collaboration skills
  • Experience in mentoring senior engineers
Preferred Qualifications
  • Experience building enterprise healthcare or regulated-industry platforms
  • Familiarity with healthcare data, privacy, and compliance requirements
  • Exposure to MLOps and AI lifecycle management
  • Experience with identity, security, and privacy architectures
  • Track record of influencing architecture across large organizations
  • Experience contributing to platform or developer ecosystem strategies
Education
  • Bachelor’s degree in Computer Science, Engineering, or related field required
  • Master’s degree in Computer Science or related discipline preferred
  • Equivalent practical experience will also be considered
Pay Range
  • The…
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