Java Fullstack developer

1 week ago

Dallas, Texas, United States Jobs via Dice Full time

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Photon, is seeking the following. Apply via Dice today

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.

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