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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.
Job Responsibility
Serve as a key member of a collaborative team responsible for the design, delivery, and operation of business-critical, distributed systems
Work as a full stack engineer in a team that is responsible for the delivery of our new communication platform for clinicians that streamlines and add new capabilities to things like two way chat, SMS and Email and also work on our safety platform for clinicians
Lead technical initiatives to solve complex, enterprise-wide problems, ensuring scalability, performance, and maintainability
AI should be part of your solutions and you should be able to lead AI initiatives within the team and the organisation
Be responsible for designing and building enterprise-grade systems using modern technology, delivering incremental value through platform-focused releases, and driving long-term improvements focused on simplicity
Requirements
10+ years of software development experience
Proven track record of delivering complex customer-facing software products on time and of high quality
Strong foundation in software engineering, including problem-solving, data structures, algorithms, patterns, and concurrency
Strong full stack technical depth in two or more of: .NET / C#, React, React Native, cloud-native backend services (Azure preferred)
Strong SQL skills and understanding of RDBMS, specifically SQL Server or PostgreSQL
Strong experience in the design, implementation, and operation of distributed systems at scale
Experience with Claude or similar
Clear and effective communication skills
Nice to have
Familiarity with asynchronous, event-based architectures
Experience with technologies such as Kafka, REST APIs, Protobuf, gRPC, Docker, Kubernetes, and Terraform
Experience with Application and Performance Monitoring platforms (e.g., New Relic)
Experience with push notification infrastructure — particularly in mobile-first product contexts
Experience running or contributing to an AI engineering workflow modernization program — defining standards, selecting tooling, and measuring productivity improvements