> Markdown version of [/jobs/ext/3456668-java-developer](https://www.wearedevelopers.com/jobs/ext/3456668-java-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Java Developer - **Company:** Capgemini - **Location:** Orlando, FL, United States - **Salary:** $72,114.0 - $112,694.0 - **Contract:** Temporary contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Cloud Computing, Cloud Engineering, Computer Programming, Databases, Data Stores, Software Debugging, Network Troubleshooting, Log Analysis, NoSQL, Object-Oriented Software Development, SQL Databases, Java Application Server, System Availability, Amazon Relational Database Service, Functional Programming, Cloudwatch, Restful APIs, Splunk, Serverless Computing, Microservices - **Published:** September 3, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=de2ef12cdfc2f777 ## About the Role * Programming: Strong skills in Java and object-oriented design. * Cloud Knowledge: Experience with AWS core services and serverless setups. * Databases: Know SQL and understand relational or NoSQL data stores. * Problem Solving: Ability to read stack traces and debug live systems. * Communication: Clear writing and speaking skills for user support. ## Description CI/CD pipelines SQL/NoSQL database aws cloud java programming microservices architecture network troubleshooting Debugging Skills production support A Java and AWS Support Engineer troubleshoots, maintains, and optimizes cloud-native Java applications and microservices running on Amazon Web Services. This role resolves complex production incidents, analyzes thread dumps, manages CI/CD pipelines, and ensures high availability and performance across distributed enterprise architectures., * Troubleshooting: Diagnose and fix code, network, and database issues in production. * Cloud Operations: Manage AWS tools like EC2, S3, Lambda, and RDS. * Log Analysis: Use CloudWatch and splunk to track system health and errors. * API Support: Maintain RESTful APIs and microservices. * Collaboration: Work with development teams to escalate and resolve deep code bugs.