Senior Java Full-Stack Engineer: Cloud & Angular

MACHINE LEARNING TECHNOLOGIES LLC; Jersey City (NJ); On-site; USD 140,000 - 180,000; Full time

Job summary

Machine Learning Technologies LLC in Jersey City, NJ is seeking a Java Full Stack Developer with 8+ years of hands-on experience. You will design, develop, and maintain scalable Java 18+ applications, build microservices with Spring Boot, and lead frontend work in Angular 19+.

The role emphasizes Docker, Kubernetes, Kafka, CI/CD pipelines, and modern cloud-native architectures, with a focus on performance, security, and high-quality code through testing and reviews.

Qualifications

• 8+ years of hands-on experience in Java development.
• Proficiency in REST and microservices with Spring Boot.
• Docker experience in cloud-native environments.
• Kafka/MQ expertise.
• Relational and NoSQL databases knowledge.
• Git and Agile familiarity.
• Strong problem-solving skills.
• Ability to work in a fast-paced environment.
• Preferred: CI/CD, Kubernetes, testing frameworks, Angular 19+, TypeScript, RxJS, MFE

Responsibilities

• Design, develop, and maintain scalable Java 18+ applications.
• Develop and manage microservices using Spring Boot 3.5.
• Build and deploy containerized apps with Docker in cloud-native environments.
• Implement event-driven architectures with Kafka and MQ.
• Collaborate with cross-functional teams to deliver high-quality software.
• Troubleshoot, refactor to improve performance, scalability, and security.
• Stay up-to-date with Java frameworks and cloud technologies.
• Follow coding standards, testing, reviews, and documentation.

Skills

Java 18+

Spring Boot

RESTful services

Docker

Kafka/MQ

Relational databases

NoSQL

Git

Agile

Kubernetes

JUnit/Mockito

Angular 19+

RxJS

Micro Frontend

TypeScript/HTML/CSS

UI development

Job description

Machine Learning Technologies LLC in Jersey City, NJ is seeking a Java Full Stack Developer with 8+ years of hands-on experience. You will design, develop, and maintain scalable Java 18+ applications, build microservices with Spring Boot, and lead frontend work in Angular 19+.

The role emphasizes Docker, Kubernetes, Kafka, CI/CD pipelines, and modern cloud-native architectures, with a focus on performance, security, and high-quality code through testing and reviews.