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Java Cloud Engineer

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Satyass
Full Time position
Listed on 2026-01-13
Job specializations:
  • Software Development
    Cloud Engineer - Software, Software Engineer, DevOps, Backend Developer
Salary/Wage Range or Industry Benchmark: 80000 - 110000 USD Yearly USD 80000.00 110000.00 YEAR
Job Description & How to Apply Below

Software Development
· Atlanta
· Posted on 12 Oct 2025

Requirements
  • Bachelor’s degree in computer science or its equivalent.
  • Excellent organizational skills.
  • Persuasive and resilient.
  • Gained knowledge on EMR/EHR systems is an added advantage.
Responsibilities

Identifying the controller services in controller(web) layer which are mapped to request mapping end points to receive web calls in monolithic application.

Identifying the service methods from business layer services in monolithic which are providing service to above mentioned web layer controller methods.

Prepare UML diagrams to visualize flow among these services like sequence and class diagrams.

Business layer services convert them to microservices and web layer services convert to REST API with few exceptions and integrating REST API with microservices behind, and provide required rules like security, registry, configuration etc., at the API level using spring cloud and using spring boot.

To be able to incorporate Actuator health check components.

At microservices level implement circuit breaker, micro proxy, service registration, service-to-service call and messaging.

Setup Spring boot Mongo Template for Mongo

DB repositories.

All services are containerized with docker and push them to Git repository where Gitlab scripts are written for continuous CI/CD to AWS cloud. Writing scripts for CI/CD pipeline in deployment.yml.

Setup check dependencies, Veracode security scan etc., then build and deploy to Kubernetes EKS which are automated to test server initially for integration testing.

Experience on Redis server for distributed caching mechanism to share caching data.

Active

MQ Artemis service for distributed messaging among microservices. Topic and Queue message broker configuration, code setup for distributed JMS messaging and asynchronous processes.

File Push and Read to/from AWS S3 bucket.

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