> Markdown version of [/jobs/ext/3761478-application-engineer-3-24x7](https://www.wearedevelopers.com/jobs/ext/3761478-application-engineer-3-24x7). 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). --- # Application Engineer 3 (24x7) - **Company:** Avid Technology Professionals, LLC - **Location:** Cape Saint Claire, MD, United States - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Cloud Computing, Extract Transform Load (ETL), Linux, DevOps, Data Flow Control, Monitoring of Systems, Aws Command Line Interface (CLI), Logstash, Ansible, Grafana, Gitlab, Apache Kafka, Apache Nifi, Functional Programming, Cloudwatch, Kibana, Terraform, Splunk, Data Pipelines, Docker - **Published:** October 15, 2026 - **Apply:** https://www.dice.com/job-detail/cada879f-c7cc-4ef9-9576-173f7601f212 ## About the Role Required:Prospective candidates must have proficiency in one or more of the following skillsets / technologies: Monitoring / Watchfloor Operations: Grafana, Kibana, Splunk, CloudWatch, or similar monitoring tools; dashboard monitoring, alert triage, log review, incident escalation, and shift turnover support. Linux / Systems Administration: Comfortable working in a Linux environment; ability to check system health, start, stop, and restart services, review logs, and reboot servers safely. Cloud / AWS Operations: C2E, HCI, AWS, Lambda, AWS Console, or AWS CLI experience supporting EC2 instances, service health checks, and basic operational troubleshooting. Dataflow / Application Support: Apache NiFi, Cribl, Kafka, Logstash, or similar data pipeline / dataflow tools; experience monitoring application health, failed jobs, queues, data movement, and ingestion issues. DevOps: Terraform, Ansible, GitLab Pipelines, Docker. ## Description As part of the Secure the Enterprise initiative, develop capabilities to shift from the current manual system security evaluation and authorization process to a new model that emphasizes automation, streamlined processes and approvals, continuous monitoring and assessment, and network data gathering across the entire life cycle of a project.