Full Stack Engineer with Cloud, DevOps and GenAI/LLM integration - Role
Charlotte, Michigan, United States of America
Contract
4 weeks ago
Key skills
PythonJavaSQLNoSQLShellBashAIGenAILLMClaudeETLAnalyticsTableauKafkaReactSpring BootSpringPlaywrightSeleniumJUnitUnit TestingAzureGoogle CloudKubernetesDockerJenkinsOpenShiftSplunkAppDynamicsREST APIRESTfulGitHubCI/CDSonarQubeCheckmarx
About this role
Job Title: Full Stack Engineer with Cloud, DevOps and GenAI/LLM integration
Location: Charlotte, NC (Hybrid)
Job Type: Contract ( )
Skills:
Name
Required
Experience
Claude
Yes
2 - 4 Years
Openshift
Yes
2 - 4 Years
Springboot Microservices
Yes
2 - 4 Years
Restful APIs
Yes
2 - 4 Years
Cloud Sec-Docker & Kubernetes
Yes
2 - 4 Years
Java
Yes
2 - 4 Years
API Protocols (SOAPRESTJSON)
Yes
2 - 4 Years
React
Yes
2 - 4 Years
Candidates submitted for this role must have:
Hands on experience developing and deploying Spring Boot based microservices, including REST API development, cloud deployment, and containerization.
Role Summary:
Seeking a Full Stack Engineer with strong Java backend experience, working knowledge of React, and secondary expertise in test automation and performance testing.
This role also requires exposure to cloud, DevOps, and basic GenAI/LLM integration.
This is a hands-on engineering role supporting modern, cloud based applications.
Primary focus: Java backend + full stack engineering
Secondary focus: Test automation & performance testing
Nice to have: GenAI/LLM exposure
Not looking for: Pure QA, pure frontend, or pure DevOps profiles
Core Technical Requirements (Must Have):
Backend / Full Stack Development
3+ years of hands-on Java development (Java 11+, Spring, Spring Boot, Microservices)
Experience building and supporting REST APIs
Working knowledge of React (hands-on experience preferred; deep expertise not required)
Experience across full stack layers: UI, backend, APIs, databases, CI/CD
Familiarity with SQL and NoSQL databases, data modeling, and query optimization
Experience with JPA / Hibernate
Unit testing using JUnit and Mockito
Cloud, DevOps & CI/CD
Experience with Docker and Kubernetes / OpenShift
Exposure to cloud platforms (Azure, Google Cloud Platform, or OpenShift)
Experience with CI/CD tools such as Jenkins, GitHub, Maven, Gradle
Experience with DevSecOps tools (e.g., SonarQube, Checkmarx, Black Duck)
Experience with monitoring and logging tools (ELK, Splunk, AppDynamics)
Scripting experience (Python, Bash, or Shell)
Secondary Skills (Strong Plus):
Test Automation
3+ years of test automation experience using tools such as:
Playwright, Selenium, Cucumber, Gherkin, TestNG
Experience with unit, integration, regression, and API testing
Performance Testing
Experience with JMeter and/or BlazeMeter
Database & Analytics (Plus):
Experience writing stored procedures and optimizing queries
Exposure to ETL and data platforms such as:
Alteryx, Talend, Apache Camel, Kafka Streams
Exposure to reporting/analytics tools:
Tableau, MicroStrategy, Business Objects
AI / GenAI (Basic Exposure Required)
Experience with scripting languages (Python preferred)
Experience calling or integrating REST APIs
Exposure to LLMs / GenAI use cases (integration experience preferred, not expert level)