> Markdown version of [/jobs/ext/4716544-aws-application-support-engineer](https://www.wearedevelopers.com/jobs/ext/4716544-aws-application-support-engineer). 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 Engineer - **Company:** Diverse Lynx LLC - **Location:** Richardson, TX, United States - **Experience:** Expert - **Salary:** $104,000 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Application Integration Architecture, JIRA, Cloud Computing Security, Databases, Continuous Integration, Data Validation, Data Masking, Data Security, Relational Databases, DevOps, Identity and Access Management, Python (Programming Language), Operational Databases, Runbook, Server Administration, Software Engineering, SQL Databases, Test Data, Java Application Server, Gitlab, Functional Programming, Cloudwatch, Restful APIs, Terraform, Data Inconsistencies, Docker, Servicenow - **Published:** November 14, 2026 - **Apply:** https://www.careerbuilder.com/job-details/aws-application-support-engineer-richardson-tx--0616b037-2732-42bf-ad14-6362341e8deb ## About the Role Software Administration, Technical Support, Amazon Web Services (AWS), Software Engineering, Relational Databases (RDBMS), Data Quality, Identify Issues, SQL Databases, Software Administration, Customer Relations, Strong customer-facing production/application support experience Incident management, RCA, monitoring, and operational documentation Working knowledge of GitLab, CI/CD, Terraform, DevOps, and AWS-native pipelines Understanding of cloud security, secure data handling, and controlled non-production data usage Strong communication, ownership, and issue management from intake through resolution Nice to have:- Test data provisioning, data refresh, environment readiness, and validation Data masking, anonymization, or synthetic-data experience Docker and Kubernetes ServiceNow, Jira, and ITIL Runbook, FAQ, and troubleshooting-guide development ## Description AWS: S3, RDS, Lambda, CloudWatch, IAM, ECS or comparable AWS services Database/Data: SQL, relational databases, data validation and troubleshooting Troubleshooting missing/incorrect data, refresh failures, access issues, and data inconsistencies Operational troubleshooting of Python and Java applications, including logs, configuration files, errors, and API responses REST APIs and application integration troubleshooting