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Java Software Engineer

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Sanrnd
Full Time position
Listed on 2026-02-15
Job specializations:
  • Software Development
    Java Developer, Software Engineer, Cloud Engineer - Software, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Overview

San R&D Business Solutions LLC | Full time

Charlotte, United States | Posted on 02/10/2026

Role

We are seeking an experienced Java Software Engineer to design, develop, and support scalable microservices-based applications. The ideal candidate will have strong hands-on experience with Java, Spring Boot, Kafka
, and relational databases, and will work closely with cross-functional teams to build and enhance order management workflows in a high-performance enterprise environment.

Responsibilities
  • Design, develop, and maintain microservices using Java and Spring Boot
    .
  • Develop and execute automated testcases using BDD frameworks such as Cucumber, JUnit, and Mockito
    .
  • Manage source code using Bitbucket and handle builds using Maven/Gradle
    .
  • Work with Oracle and MongoDB databases to ensure data consistency, performance, and scalability.
  • Monitor, troubleshoot, and optimize production systems using Elastic, Prometheus, and Grafana
    .
  • Collaborate with product owners, QA, Dev Ops, and business teams to deliver high-quality solutions.
  • Participate in code reviews, performance tuning, and production support activities.
Required Skills & Experience
  • Java & Spring Boot: 3+ years
  • Microservices Architecture: 3+ years
  • Apache Kafka: 3+ years
  • Oracle Database / SQL: 3+ years
  • Hands-on experience with automated testing frameworks (Cucumber, JUnit, Mockito)
  • Strong understanding of REST APIs and distributed systems
  • Experience with Git-based version control systems (Bitbucket)
Preferred Skills
  • Mongo

    DB:
    2+ years
  • Python: 2+ years
  • Experience with monitoring tools such as Elastic Stack, Prometheus, Grafana
  • Exposure to cloud-native or containerized environments is a plus
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration abilities
  • Ability to work onsite and participate in in-person interviews if required
  • Experience in large-scale enterprise or retail environments is a plus
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