Java Fullstack developer

  • Dallas, TX
  • Posted 9 hours ago | Updated 9 hours ago

Overview

On Site
Depends on Experience
Full Time

Skills

Java
Angular
microservices
kafka
springboot

Job Details

We are seeking a Full Stack Developer to join our dynamic engineering team. In this role, you will be responsible for designing, developing, and maintaining high-quality web applications using a combination of Java/Spring Boot on the backend and Angular on the frontend. You will work closely with cross-functional teams to deliver innovative and user-centric solutions.

Responsibilities:

Designing and developing backend microservices using Java and Spring Boot.

Creating and maintaining RESTful APIs for various functionalities.

Building and integrating frontend components using Angular to consume backend APIs.

Potentially working with asynchronous communication patterns using Kafka.

Utilizing AWS S3 for data storage or asset management.

Collaborating with other developers, testers, and product managers throughout the software development lifecycle.

Troubleshooting and debugging issues across the full stack.

Key Skills and Technologies:

Backend (70-80%):

Java: This is the core language. You'll likely be working with frameworks like Spring Boot to build robust and scalable applications.

Microservices Architecture: Understanding how to design, develop, and deploy independent, loosely coupled services is crucial. This includes concepts like inter-service communication, service discovery, and fault tolerance.

REST APIs: You'll be responsible for designing and implementing well-structured and efficient RESTful APIs for communication between the frontend, other microservices, and external systems. This involves understanding HTTP methods, status codes, and data formats (like JSON).

Frontend (30-20%):

Angular: Proficiency in Angular (TypeScript, components, services, routing, state management) is essential for building the user interface.

Good to Have:

Kafka: Experience with Kafka (a distributed streaming platform) suggests real-time data processing, event-driven architectures, or message queuing.

AWS S3: Knowledge of Amazon S3 (Simple Storage Service) indicates familiarity with cloud-based object storage, which could be used for various purposes like storing static assets, backups, or data for processing.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.