Full Stack Engineer

  • Dallas, TX
  • Posted 1 day ago | Updated 1 day ago

Overview

On Site
Depends on Experience
Full Time

Skills

Springboot
Microservices
Angular
AWS
Kafk

Job Details

Hi,
We are Photon, one of the world's largest Digital Platform Engineering companies providing a combination of Strategy Consulting, Creative Design and Technology Services to a wide range of customers. We work with 40% of the Fortune 100 companies. I found your profile interesting and wanted to chat with you about a role in one of our programs as a "Fullstack Engineer"
Designation: Fullstack Engineer
Location: Dallas, TX
Job Type: Fulltime
Job Description:
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.
Thanks & regards,
Shalini D
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