Java Developer
Raas Infotek LLC
West New York, NJ, United States
2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Amazon Elastic Compute Cloud
Amazon S3
Microsoft Azure
Code Review
Continuous Integration
Information Engineering
Database Development
DevOps
+27 more
Distributed Computing Environment
Python (Programming Language)
Performance Tuning
Scrum Methodology
Cloud Services
SQL Databases
Data Processing
Enterprise Software Applications
Spring-mvc
ReactJS
Large Language Models
Apache Spark
Spring-boot
Generative AI
Backend
Git
Event Driven Architecture
AI Platforms
AngularJS
Kubernetes
Apache Kafka
Functional Programming
Cloudwatch
Restful APIs
Terraform
Docker
Microservices
Job description
- Design and develop scalable Java/Spring Boot applications and microservices.
- Build responsive web applications using Angular and React.js.
- Develop and optimize data-processing solutions using Apache Spark.
- Design, deploy, and maintain applications on AWS.
- Integrate AI/GenAI capabilities and APIs into enterprise applications.
- Develop RESTful APIs and integrate backend services with frontend applications.
- Troubleshoot performance and production issues and perform RCA.
- Participate in architecture, code reviews, and technical design discussions.
- Collaborate with product, QA, DevOps, and business teams.
- Mentor junior developers and promote coding best practices.
Requirements
- 10+ years of strong Java/J2EE development experience.
- Strong expertise in Java 8/11/17+, Spring Boot, Spring MVC, and Microservices.
- Hands-on experience with Angular and React.js for modern UI development.
- Strong experience with Apache Spark and distributed data processing.
- Hands-on experience with AWS cloud services.
- Experience with AI/GenAI/LLM integration into enterprise applications.
- Strong REST API, SQL, and database development experience.
- Experience with Docker, Kubernetes, Git, and CI/CD pipelines.
- Strong Agile/Scrum experience., * AWS services such as EC2, S3, Lambda, ECS/EKS, RDS, Glue, and CloudWatch.
- Experience with Kafka and event-driven architecture.
- Experience with Python or Scala for Spark/data engineering.
- Knowledge of OpenAI, Azure OpenAI, AWS Bedrock, Gemini, or similar AI platforms.
- Experience with Terraform/IaC.
- Financial Services/Banking domain experience.
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Prepare application
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