Java Full Stack Developer

Location: Columbus, OH — On-site at 180 East Broad Street, 13th & 14th Floors

Employment type: Full time

About the role

Globant is seeking a Java Full Stack Developer to support a strategic client engagement. In this role, you will design, develop, and maintain Java-based enterprise applications, working across both backend services and modern React-based user interfaces.

The ideal candidate combines strong Java and Spring Boot expertise with hands-on React JS development, Camunda workflow implementation, cloud-native delivery, and practical experience leveraging AI throughout the software development lifecycle.

What you will do

• Design, develop, test, deploy, and maintain Java-based applications and services.
• Build and enhance full-stack solutions using Java, Spring Boot, microservices, REST APIs, and React JS.
• Develop and maintain business workflows using Camunda, including workflow design, process orchestration, task management, and integration with backend services.
• Collaborate with cross-functional teams to gather requirements and translate business needs into technical specifications, solution designs, and deliverable user stories.
• Develop secure, scalable, and high-performance backend services and APIs.
• Build responsive, user-friendly front-end interfaces using React JS and integrate them with backend services.
• Conduct unit testing, integration testing, debugging, and troubleshooting to ensure application functionality, reliability, performance, and security.
• Participate in code reviews, enforce engineering standards, and maintain high-quality production code.
• Leverage AI tools and Generative AI capabilities throughout the SDLC, including code generation, unit-test creation, documentation, code review support, refactoring, and troubleshooting.
• Explore and implement AI-enabled technical capabilities where appropriate to improve development efficiency and product functionality.
• Deploy and operate applications using AWS services, including EC2, Lambda, API Gateway, S3, and EKS.
• Containerize applications using Docker and orchestrate deployments using Kubernetes.
• Collaborate with engineering, product, business, and client stakeholders throughout the development lifecycle.
• Stay current with emerging Java technologies, frameworks, cloud services, and AI-assisted development practices, recommending improvements to enhance delivery quality and efficiency.

Required qualifications

• Strong professional experience as a Java Full Stack Developer.
• Hands-on expertise in Java, Spring Boot, REST APIs, and microservices architecture.
• Strong experience developing front-end applications using React JS.
• Hands-on experience with Camunda workflow development and business-process orchestration.
• Experience leveraging AI throughout the SDLC, such as GitHub Copilot, Claude, OpenAI, AWS Bedrock, or similar AI-assisted development tools.
• Experience with AWS services, including EC2, Lambda, API Gateway, S3, and EKS.
• Experience with containerization using Docker and orchestration using Kubernetes.
• Strong understanding of databases, server-side development, application performance, and secure API design.
• Experience with unit testing, debugging, code reviews, and maintaining production-quality code.
• Strong problem-solving, analytical, and troubleshooting skills.
• Excellent communication and collaboration skills, with the ability to work effectively with technical and business stakeholders.
• Ability to work on-site five days per week from the client’s Columbus office at 180 East Broad Street.

Preferred qualifications

• Experience in financial services, banking, payments, or other highly regulated enterprise environments.
• Experience with CI/CD pipelines, Git, Jenkins, GitHub Actions, or similar delivery tools.
• Familiarity with Agile/Scrum delivery practices, Jira, and Confluence.
• Experience with Spring Security, OAuth 2.0, JWT, and secure enterprise application development.
• Experience with Kafka, event-driven architecture, or asynchronous messaging.
• Experience with Oracle, PostgreSQL, MySQL, MongoDB, Redis, or similar databases.
• Experience integrating AI/LLM capabilities into enterprise applications, such as RAG, prompt engineering, model APIs, or agentic workflows.
• Relevant Java, AWS, Kubernetes, or cloud certifications are a plus.