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Java Full Stack Developer

Job

VCS Digital LLC

Fort Lauderdale, FL (In Person)

Full-Time

Posted 6 days ago (Updated 3 days ago) • Actively hiring

Expires 7/3/2026

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Job Description

Role:
Java Full Stack Developer (AWS, Golang and AI skills)
Location:
Ft.
Lauderdale, FL/ Phoenix, AZ Experience:
Developer (5-7 years), Sr. Developer (8+ years)
Type:
Fulltime permanent role with
Infocepts Role Overview:
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.
Key Responsibilities:
  • 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
  • Ensure performance, scalability, and security of applications
  • Collaborate with data scientists, architects, and product teams
Required Skills & Qualification:
  • 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, Dynamo
DB, 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)