Java Backend Developer

Visionary Innovative Technology Solutions LLC
United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Agile Methodology Amazon Web Services Application Performance Management Microsoft Azure Code Review Databases Continuous Integration Software Debugging Software Design Patterns DevOps Distributed Systems
+22 more
Gradle Monitoring of Systems Apache Maven NoSQL Performance Tuning Scrum Methodology Secure Coding SQL Databases Data Processing Multithreading Data Storage Management Spring-boot Backend Git Event Driven Architecture Integration Tests Cassandra Apache Kafka Restful APIs Docker Jenkins Microservices

Job description

  • Design, develop, and maintain backend applications using Java and Spring Boot.
  • Build scalable and resilient Microservices and RESTful APIs.
  • Implement event-driven architectures using Apache Kafka.
  • Design and optimize data storage and retrieval using Cassandra NoSQL database.
  • Develop efficient data processing and messaging solutions.
  • Optimize application performance, scalability, and reliability.
  • Write unit and integration tests and participate in code reviews.
  • Troubleshoot production issues and ensure application stability.
  • Collaborate with architects, QA, DevOps, and cross-functional teams in an Agile environment.

Requirements

  • 10+ years of experience in Java backend development.
  • Strong expertise in Core Java, Java 8+, Spring Boot, and Microservices.
  • Hands-on experience with Apache Kafka and Cassandra.
  • Strong knowledge of REST APIs, distributed systems, and event-driven architecture.
  • Experience with SQL/NoSQL databases, data modeling, and performance tuning.
  • Familiarity with Git, Maven/Gradle, Jenkins, and CI/CD pipelines.
  • Good understanding of multithreading, design patterns, and secure coding practices.
  • Strong analytical, debugging, and communication skills.

Good to Have

  • Experience with Docker and Kubernetes.
  • Knowledge of AWS/Azure or other cloud platforms.
  • Experience with monitoring tools and production support.
  • Understanding of Agile/Scrum methodologies.

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