Java Developer
Futuremindz llc
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Remote
Tech stack
Java
Amazon Web Services (AWS)
Application Performance Management
Unit Testing
Azure
Cloud Computing
Cloud Engineering
Computer Programming
Databases
Data Structures
Relational Databases
Database Design
Software Debugging
DevOps
Gradle
Hibernate
Java Platform Standard Edition (J2SE)
PostgreSQL
Maven
MySQL
Oracle Applications
Performance Tuning
Program Analysis
Systems Development Life Cycle
Software Engineering
SQL Databases
Systems Integration
Web Application Frameworks
Google Cloud Platform
Spring-mvc
Spring-boot
GIT
Front End Software Development
Api Design
REST
Jenkins
Web Api
Microservices
Job description
- SDLC Lifecycle: Contribute actively to all phases of the software development lifecycle.
- Testing and Debugging: Conduct software analysis, programming, automated unit testing, and debugging.
- Performance Optimization: Identify application performance bottlenecks and implement code patches or fixes.
- Database Design: Create and manage database architecture, tables, and write optimized SQL queries.
- Collaboration: Coordinate with frontend developers, DevOps engineers, and QA teams to integrate system layers.
- Documentation: Compile detailed technical documentation, design workflows, and user manuals.
Requirements
- Core Java Mastery: Deep understanding of Java SE, object-oriented programming (OOP) principles, data structures, and algorithms.
- Framework Proficiency: Hands-on experience with modern frameworks like Spring Boot, Spring MVC, and Hibernate.
- API Development: Strong expertise in building and integrating RESTful web services and third-party APIs.
- Database Management: Working knowledge of relational databases (e.g., MySQL, PostgreSQL, Oracle) and SQL.
- Build and Version Tools: Proficiency with Git, Maven, or Gradle, and CI/CD pipelines like Jenkins.
- Cloud Architecture: Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and microservices architecture is preferred.