Senior Java Full Stack Engineer | AWS, Microservices & React

MACHINE LEARNING TECHNOLOGIES LLC

Columbus (OH)

On-site

USD 103,000 - 118,000

Full time

11 hours ago
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Job summary

Machine Learning Technologies LLC in Columbus, OH is seeking an experienced Java Full Stack Developer to design and develop scalable enterprise applications. You will work with Core Java, Spring Boot, Microservices, and modern front-end frameworks like React or Angular, with AWS cloud services.

The role involves building RESTful APIs, microservices, and secure authentication, plus deploying on AWS with Docker and Kubernetes.

Qualifications

  • 5+ years of experience in Java Full Stack Development.
  • Strong hands-on experience with Core Java, Spring Boot, and Microservices.
  • Experience with React.js or Angular.
  • Strong knowledge of REST APIs, Hibernate, and JPA.
  • Experience with SQL databases and Kafka.
  • Familiarity with AWS, Git, and CI/CD pipelines.
  • Good understanding of Agile development and software design principles.

Responsibilities

  • Develop enterprise applications using Java, J2EE, and Spring Boot.
  • Build and maintain RESTful APIs and microservices.
  • Develop responsive user interfaces using React.js or Angular.
  • Work with JavaScript, TypeScript, HTML5, and CSS3.
  • Implement application security and authentication using Spring Security.
  • Deploy and maintain applications on AWS.
  • Support application deployment using Docker and Kubernetes.

Skills

Java
Spring Boot
Microservices
React
Angular
REST APIs
Hibernate
JPA
SQL
Kafka
AWS
Docker
Kubernetes
CI/CD
Agile

Tools

Jenkins
Maven
JUnit

Job description

Machine Learning Technologies LLC in Columbus, OH is seeking an experienced Java Full Stack Developer to design and develop scalable enterprise applications. You will work with Core Java, Spring Boot, Microservices, and modern front-end frameworks like React or Angular, with AWS cloud services.

The role involves building RESTful APIs, microservices, and secure authentication, plus deploying on AWS with Docker and Kubernetes.

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