Full-Stack Java Engineer: Spring Boot & Microservices

VTekis Consulting LLP

New York (NY)

On-site

USD 120,000 - 150,000

Full time

9 days ago

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Job summary

VTekis Consulting LLP is seeking a Full Stack Software Engineer (Java / Spring Boot) for a W2 position in New York. The role targets enterprise-grade Java applications, RESTful services, and microservices within a collaborative team.

Proficiency with Spring Boot, Spring MVC, Spring Data, and related technologies is required, along with experience using Oracle databases, WebSocket messaging, Kafka, and distributed caching in a fast-paced environment.

Qualifications

  • Strong experience with Java application development in enterprise environments.
  • Experience building and consuming REST APIs using Spring Boot, Spring MVC, Spring REST, or similar Java frameworks.
  • Experience with Oracle databases, including SQL query development, optimization, and database design.
  • Experience with WebSocket technologies and real-time messaging frameworks.
  • Knowledge of Apache Kafka and event-driven architecture patterns.
  • Experience with Hazelcast, distributed caching, or in-memory data grid technologies.
  • Strong understanding of object-oriented programming principles, software design patterns, and microservices architecture.
  • Experience with the Spring ecosystem, including Spring Boot, Spring Data, Spring Security, and Spring Cloud.
  • Experience with source control systems such as Git.

Skills

Java development
REST API design
Microservices
Object-oriented design
Git
Spring ecosystem

Tools

Oracle SQL
WebSocket
Kafka
Hazelcast
Spring Data

Job description

VTekis Consulting LLP is seeking a Full Stack Software Engineer (Java / Spring Boot) for a W2 position in New York. The role targets enterprise-grade Java applications, RESTful services, and microservices within a collaborative team.

Proficiency with Spring Boot, Spring MVC, Spring Data, and related technologies is required, along with experience using Oracle databases, WebSocket messaging, Kafka, and distributed caching in a fast-paced environment.

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