Java Fullstack Developer

Visionsoft International

yesterday

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Job location

Tech stack

HTML

Java

JavaScript

XML Schema

Spring Security

Artificial Intelligence

Data analysis

Application Lifecycle Management

JIRA

User Authentication

CSS

Databases

Data Structures

Relational Databases

DevOps

Django

Gradle

Spring

JSON

JUnit

Python

Maven

Microsoft SQL Server

Systems Development Life Cycle

Mockito

Data Streaming

XML

Sql Optimization

Spring-mvc

Flask

Spring-boot

Backend

FastAPI

Spring Data

Build Management

Pytest

Semi-structured Data

Kafka

Machine Learning Operations

Front End Software Development

REST

Docker

Jenkins

Requirements

Strong proficiency in Java (8+) and/or Python.
Solid understanding of core language concepts such as I/O collections/data structures, and, concurrency/multithreading/asynchronous patterns
Strong experience building and consuming RESTful APIs.
Experience with backend frameworks such as:
Java: Spring Core, Spring MVC, Spring Boot, Spring Security, Spring Data.
Python: Flask/FastAPI/Django (or equivalent), ORM usage, authentication/security patterns.
Experience with streaming/event technologies such as Kafka preferable.
Proficiency with build and test tooling (as applicable): Maven/Gradle, JUnit/Mockito, pytest/unittest; CI-friendly testing practices.

Database & Data Skills

Strong database skills with RDBMS (e.g., MS SQL) and data modeling.
Ability to write advanced SQL for reporting, troubleshooting, and data analysis.
Experience working with structured and semi-structured data formats: XML/XSD and JSON.

DevOps / SDLC / Tooling

Working knowledge of Docker in the development process.
Understanding of application lifecycle management and SDLC best practices.
Experience using CI/CD pipelines and tools such as JIRA and Jenkins to build and deploy applications.

Front-End (Working Knowledge)

Basic working knowledge of HTML, JavaScript, and CSS to support integration and troubleshooting.

Preferred / Nice-to-Have (AI / ML)

Python exposure for automation and/or AI/ML integration is a plus.
Familiarity with AI/ML integration patterns (e.g., calling model endpoints, evaluation, deployment).
Exposure to MCP (Model Context Protocol) for AI-enabled integrations/tools is a plus.