Senior Cloud-Native Software Engineer (Java/Kafka)

Hispanic Alliance for Career Enhancement

Salem (OR)

On-site

USD 83,430 - 222,480

Full time

14 days+

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Benefits offered by this job

Medical, dental, and vision coverage
Paid time off

Job summary

CVS Health Digital is seeking a Senior Software Development Engineer to lead the design and development of scalable, cloud-native solutions using Java/JEE, Spring Boot, and Kafka. This role emphasizes secure DevOps, testing, and API governance in a healthcare context.

Ideal candidates have strong leadership, architectural insight, and hands-on data migration/ETL experience in healthcare standards like HL7/FHIR, with familiarity in GCP services such as GKE and Cloud Run.

Qualifications

  • 5+ years of professional software engineering experience.
  • 5+ years with Java/JEE, Spring Boot, Spring Cloud, RESTful microservices.
  • 3+ years with Apache Kafka (event streaming).
  • 3+ years CI/CD pipelines, Git workflows, automated testing.
  • 3+ years Docker, Kubernetes, cloud orchestration.
  • 2+ years hands-on experience with Cloud (GCP/AWS/Azure).

Responsibilities

  • Architect, design, and develop high-performance microservices using Java, JEE, Spring Boot, and Spring Cloud.
  • Lead development of event-driven services using Apache Kafka and ensure a scalable API strategy.
  • Mentor team members and contribute to engineering standards and reviews.
  • Collaborate on data migration, ETL pipelines, and data governance within a cloud-native framework.

Skills

Java/JEE
Spring Boot
Spring Cloud
RESTful microservices
Apache Kafka
CI/CD
Docker
Kubernetes
Cloud
FHIR/HL7 familiarity

Education

Bachelor's degree

Tools

GCP
GKE
Cloud Run
Spring Batch
HL7 FHIR tooling
Docker
Kubernetes

Job description

CVS Health Digital is seeking a Senior Software Development Engineer to lead the design and development of scalable, cloud-native solutions using Java/JEE, Spring Boot, and Kafka. This role emphasizes secure DevOps, testing, and API governance in a healthcare context.

Ideal candidates have strong leadership, architectural insight, and hands-on data migration/ETL experience in healthcare standards like HL7/FHIR, with familiarity in GCP services such as GKE and Cloud Run.

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