Java Full Stack Developer

VCS Digital LLC
Fort Lauderdale, United States of America
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

Fort Lauderdale, United States of America

Tech stack

HTML
Java
JavaScript
API
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Software Applications
CSS
Encodings
Couchbase
DevOps
Distributed Systems
Amazon DynamoDB
Elasticsearch
Identity and Access Management
Python
PostgreSQL
Machine Learning
Natural Language Processing
NoSQL
OAuth
Recommender Systems
Redis
Cloud Services
Azure
Amazon Web Services (AWS)
Data Streaming
Chatbots
Modern Ui
Spring Cloud
React
Large Language Models
Prompt Engineering
Spring-boot
Backend
Event Driven Architecture
Amazon Web Services (AWS)
Angular
Kubernetes
Cassandra
Kafka
Machine Learning Operations
Front End Software Development
Functional Programming
Api Gateway
REST
Amazon Web Services (AWS)
Docker
Go
Microservices

Job description

· Design and develop end-to-end solutions across frontend, backend, and AI layers.

· Build scalable microservices using Java (Spring Boot) and Golang for high-performance workloads.

· Develop modern UI using React/Angular.

· Design and deploy cloud-native applications on AWS.

· Integrate AI/ML models and APIs (LLMs, predictive models) into applications.

· Build and manage RESTful and event-driven architectures.

· Implement CI/CD pipelines and DevOps practices for cloud deployments.

Requirements

We are seeking a highly skilled Full Stack Developer with expertise in Java, AWS, Golang, and AI/ML integration to build next-gen, intelligent, cloud-native applications. The role focuses on developing scalable microservices, embedding AI capabilities into business workflows, and delivering high-performance systems., · 5+ years of full stack development experience

· Strong expertise in Java (5+), Spring Boot, Python, and Golang

· Hands-on experience with AWS services: EC2, Lambda, S3, API Gateway, RDS, DynamoDB,

SNS/SQS, IAM

· Frontend experience with React/Angular, JavaScript, HTML, CSS

· Experience integrating AI/ML services or APIs (OpenAI, AWS Bedrock, SageMaker, etc.)

· Strong knowledge of microservices, REST APIs, and distributed systems

· Experience with Docker, Kubernetes (EKS), and CI/CD tools

· Familiarity and experiences with NoSQL databases like: PostgreSQL, Cassandra, Couchbase,

Redis, Elasticsearch

Preferred Qualifications:

· Experience building AI-powered applications (chatbots, recommendation systems, NLP use

· cases)

· Knowledge of RAG architectures, prompt engineering, and LLM integration

· Experience with streaming/event platforms (Kafka or AWS EventBridge)

· Exposure to MLOps practices and ML lifecycle management

· Understanding of security standards (OAuth2, JWT)

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