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# Senior Software Engineer

- **Company:** Capgemini
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Salary:** $89,400
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Amazon Web Services, Amazon S3, Automation of Tests, Batch Processing, Code Review, Continuous Integration, Database Design, Amazon DynamoDB, Github, Hibernate (Java), Java Persistence API, Junit, PostgreSQL, Apache Maven, OAuth, OpenID, Performance Tuning, Mockito, TypeScript, Web Application Frameworks, Datadog, Data Logging, Enterprise Software Applications, Spring Cloud, ReactJS, System Availability, Spring-boot, Cypress (Programming Language), Build Management, Amazon Relational Database Service, Containerization, Kubernetes, Restful APIs, Amazon Simple Queue Service (SQS)
- **Published:** November 11, 2026
- **Apply:** https://www.capgemini.com/jobs/593367-en_US_SAPBTP/x/

## About the Role

* Strong experience with Java 17/21+, Spring Boot, REST APIs, JPA/Hibernate, PostgreSQL, and Maven.
 * Hands-on experience with React, TypeScript, and modern frontend frameworks.
 * Experience with AWS services, Kubernetes, and containerized applications.
 * Knowledge of OAuth 2.0/OIDC, database design, performance tuning, and security best practices.
 * Strong background in automated testing, CI/CD, code reviews, and production support.

## Description

We are seeking an experienced Full Stack Software Engineer to design, develop, test, deploy, and support enterprise applications. The ideal candidate will have strong expertise in Java, Spring Boot, React, TypeScript, PostgreSQL, AWS, Kubernetes, CI/CD, and automated testing., * Develop scalable applications using Java 21, Spring Boot, PostgreSQL, and React/TypeScript.

 * Design and build REST APIs, secure integrations, and batch-processing solutions.
 * Deploy and support cloud-native applications on AWS (EKS, RDS, S3, SQS, DynamoDB) and Kubernetes.
 * Develop automated tests using JUnit, Mockito, Testcontainers, Jest, and Cypress.
 * Build and maintain GitHub Actions CI/CD pipelines.
 * Implement monitoring, logging, and observability using Datadog.
 * Troubleshoot production issues and ensure platform reliability and performance.