Java Fullstack Developer
CYNET SYSTEMS INC.
Pittsburgh, United States of America
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Compensation
$ 104KJob location
Pittsburgh, United States of America
Tech stack
Java
API
Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Application Performance Management
Software Quality
Code Review
DevOps
Scrum
Retrieval-Augmented Generation
Large Language Models
Spring-boot
Amazon Web Services (AWS)
Deployment Automation
Front End Software Development
Functional Programming
Api Gateway
REST
Microservices
Job description
- Design, develop, and maintain scalable microservices using Core Java and Spring Boot.
- Build and expose RESTful APIs ensuring high performance and security.
- Deploy, monitor, and manage applications on AWS cloud services (EC2, S3, Lambda, RDS, API Gateway).
- Implement and maintain CI/CD pipelines for automated deployments.
- Integrate LLMs (Large Language Models) into backend services.
- Develop AI agents using frameworks like AutoGen and implement RAG (Retrieval-Augmented Generation) solution.
- Ensure code quality through best practices, code reviews, and testing.
- Identify and resolve technical issues, bottlenecks, and performance problems.
- Collaborate with cross-functional teams including frontend, DevOps, and product stakeholders.
- Participate in Agile ceremonies such as sprint planning, stand-ups, and retrospectives.
- Maintain proper documentation for APIs, system design, and workflows.
- Monitor application performance and optimize for scalability and reliability.
Nice to Have:
- Experience with emerging AI technologies.
Requirements
- We are looking for a skilled Java Backend Developer with exposure to AWS and emerging AI technologies to design, develop, and deploy scalable microservices and intelligent applications.
Requirement/Must Have:
- Strong experience in Core Java, Spring Boot, and REST APIs.
- Knowledge of LLMs, AI agents, and Retrieval-Augmented Generation (RAG) frameworks., * Core Java.
- Spring Boot.
- REST API.
- Microservices.
- AWS.