> Markdown version of [/jobs/ext/4718571-aws-application-support](https://www.wearedevelopers.com/jobs/ext/4718571-aws-application-support). 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). --- # AWS Application Support - **Company:** Diverse Lynx LLC - **Location:** Milton, GA, United States - **Salary:** $93,600 - $104,000 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Amazon S3, Application Integration Architecture, JIRA, Cloud Computing Security, Databases, Continuous Integration, Data Validation, Data Masking, Data Security, Relational Databases, DevOps, Electronic Data Interchange (EDI), Identity and Access Management, Python (Programming Language), Log Analysis, Operational Databases, Runbook, Server Administration, SQL Databases, Test Data, Scripting, Java Application Server, Enterprise Software Applications, Gitlab, Functional Programming, Cloudwatch, Restful APIs, Terraform, Data Inconsistencies, Docker, Servicenow, Data Generation - **Published:** November 14, 2026 - **Apply:** https://www.careerbuilder.com/job-details/aws-application-support-alpharetta-ga--0eaa608c-d5fc-4e6e-b68f-2d8b17583408 ## About the Role Software Administration, Amazon Web Services (AWS), DevOps, Production Support, Technical Support, Python Programming/Scripting Language, Software Administration, Production Management, Identify Issues, Application Programming Interface (API), Seeking an experienced AWS Application Support / Production Support Engineer with strong expertise in AWS cloud services, SQL, application troubleshooting, and production operations. The ideal candidate will have hands-on experience supporting Python and Java applications, troubleshooting data and API issues, managing production incidents, and working with DevOps and CI/CD processes. Must-Have Skills * AWS: S3, RDS, Lambda, CloudWatch, IAM, ECS, or comparable AWS services * Database & Data Support: SQL, relational databases, data validation, and troubleshooting * Troubleshooting missing or incorrect data, data refresh failures, access issues, and data inconsistencies * Python and Java application troubleshooting * Application log analysis, configuration files, error investigation, and API response troubleshooting * REST APIs and application integration support * Customer-facing production/application support experience * Incident management, root cause analysis (RCA), and monitoring * Operational documentation and issue management * Working knowledge of GitLab, CI/CD, Terraform, DevOps, and AWS-native pipelines * Cloud security, secure data handling, and controlled non-production data usage * Strong communication, ownership, and end-to-end issue resolution, * Test data provisioning and data refresh * Environment readiness and validation * Data masking, anonymization, and synthetic-data generation * Docker and Kubernetes * ServiceNow, Jira, and ITIL * Runbook, FAQ, and troubleshooting-guide development Top 5 Skills to Prioritize * AWS cloud services and production support * SQL, relational databases, and data troubleshooting * Python/Java application troubleshooting * REST API and application integration support * Incident management, RCA, and customer-facing support ## Description * Provide production and application support for AWS-hosted enterprise applications. * Troubleshoot data issues, including missing or incorrect records, refresh failures, access problems, and inconsistencies. * Investigate Python and Java application issues through logs, configuration files, error messages, and API responses. * Support REST API integrations and resolve application connectivity or data exchange issues. * Perform SQL queries and data validation to identify and resolve production issues. * Monitor AWS services such as S3, RDS, Lambda, CloudWatch, IAM, and ECS. * Manage incidents from initial intake through investigation, resolution, and closure. * Conduct root cause analysis and implement preventive measures. * Coordinate with development, infrastructure, database, and DevOps teams. * Maintain operational documentation, troubleshooting guides, and support procedures. * Follow cloud security practices and ensure secure handling of test and non-production data.