Java Full Stack Developer

Java Full Stack Developer

Location: Pittsburgh, PA (onsite) Fulltime

Job Description

Skill: Java Full Stack Developer

• Design and develop scalable applications using Java, Spring Boot, Microservices, and REST APIs.

• Build and maintain robust backend services and API integrations.

• Collaborate with UI development teams for end-to-end solution delivery.

• Troubleshoot complex application, integration, and performance issues.

• Implement secure authentication and authorization mechanisms.

Event-Driven & Integration Solutions:

• Design and develop Kafka-based event-driven architectures.

• Create scalable messaging and asynchronous processing solutions.

• Integrate applications with internal and external systems through RESTful services and APIs.

• Ensure reliability, resiliency, and fault tolerance of integration platforms.

Database & Data Management:

• Design and optimize Oracle database schemas and queries.

• Implement data modeling, indexing, partitioning, and performance tuning strategies.

• Ensure data integrity, security, and compliance with enterprise standards.

• Support database migration and modernization initiatives.

Cloud & AWS Solutions (Must Have):

• Design, develop, and deploy cloud-native solutions on AWS.

• Develop serverless applications using AWS Lambda.

• Architect and implement solutions using AWS services including:

o Lambda

o API Gateway

o SQS

o SNS

o DynamoDB

o ECS/EKS

o CloudWatch

o IAM

o S3

o Bedrock

• Implement Infrastructure as Code (CloudFormation/Terraform preferred).

• Drive cloud security, monitoring, scalability, and cost optimization initiatives.

AI & Generative AI Engineering

• Design and develop GenAI-powered business solutions using Amazon Bedrock.

• Build, deploy, and manage AI Agents using AWS AI services.

• Integrate Large Language Models (LLMs) into enterprise applications.

• Implement Retrieval Augmented Generation (RAG) frameworks and AI workflows.

• Optimize AI model performance, security, governance, and monitoring.

• Collaborate with business stakeholders to identify AI adoption opportunities.

Collaboration & Stakeholder Management:

• Work closely with Product Managers, Architects, Business Analysts, and QA teams.

• Participate in project planning, estimation, and roadmap discussions.

• Communicate technical solutions and risks to technical and non-technical stakeholders.

• Support Agile/Scrum development methodologies.