Application Engineer 3 (24x7)
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.
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.
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.