Java Developer

Raas Infotek LLC

West New York, NJ, United States

22 days 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

www.dice.com

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.