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 Summary
As a Senior Software Development Engineer, you take ownership of complex software workstreams and lead the development of resilient services to operationalize healthcare data. You are a champion for clean code and "design-first" engineering, ensuring that our software systems are both scalable and data-literate. You work with minimal supervision to mentor peers and ensure clinical data exchange is seamless, accurate, and optimized for the entire data lifecycle.
Responsibilities
Design and implement scalable microservices using Kotlin/Java and Spring Boot, optimizing for performance and high availability.
Architect event-driven solutions using Kafka and high-performance MongoDB schemas.
Champion best practices for unit testing, integration testing, and Domain-Driven Design (DDD).
Lead the development of data-intensive services, ensuring high data quality and schema evolution management at the point of origin.
Mentor junior and mid-level engineers through code reviews and pair programming, fostering a learning culture.
Partner with Product Owners to refine requirements for high-impact interoperability initiatives.
Required Qualifications
Expertise in JVM-based technologies (Java/Kotlin) and modern software engineering patterns.
Deep experience optimizing MongoDB and designing Kafka-based event architectures.
Proven track record of implementing automated SecDevOps and CI/CD workflows.
Ability to think strategically about how software architecture impacts the broader data ecosystem.
A growth mindset and a commitment to collaborative, team-oriented problem-solving.
Preferred Qualifications
Practical experience with Python, PySpark, or Scala for large-scale data transformation.
Experience building or optimizing data pipelines within Databricks.
Deep knowledge of healthcare quality metrics (e.g., CMS Stars, HEDIS).
Pay Range
The typical pay range for this role is:
€50,000.00 - €125,000.00We anticipate the application window for this opening will close on: 29/05/2026