Back
Common Java/GCP/Kafka skills, mid-level experience, metro locations, and a popular backend title increase competition.
Java microservices, Kafka and GCP skills are highly transferable; healthcare domain experience is optional.
Explicit 5–7 years plus mandatory Java, microservices, GCP, and Kafka skills indicate high shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and deploy healthcare applications using Java 8+, Microservices, and Google Cloud Platform (GCP).
Architect and implement scalable systems with a focus on AI-augmented and agentic IDE workflows, including setting governance and quality standards for AI-generated code.
Collaborate across teams to prepare designs (HLD/LLD), write testable code with JUnit, and manage agile product development cycles.
5 to 7 years of experience in Java development with microservices and cloud deployment, specifically Google Cloud Platform.
Mandatory skills include Java 8+, REST API design, Microservices architecture, Spring Boot, Spring Data JPA, and SQL databases.
Experience with Docker, Kafka streaming, multithreading, Git, Jenkins, Maven, Sonar, and Agile methodologies.
Educational qualification: Engineering degree (BE/ME/BTech/MTech/BSc/MSc).
Experienced in leading engineering teams to implement AI-assisted SDLC models and agentic IDE workflows at scale in complex, multi-module systems.
Strong background in healthcare technology domain preferred, especially familiarity with US clinical systems is an advantage.
Capable of mentoring teams on AI autonomy, security, compliance, and integrating AI workflows into CI/CD pipelines.