Inetum is a European leader in digital services , supporting organizations as they navigate continuous technological change. The company helps clients accelerate their digital transformation through a broad portfolio that includes consulting, application services, digital engineering, cloud, cybersecurity, platforms, and infrastructure services We are looking for an Application Support Engineer to ensure the stability, availability, and performance of critical business applications. Working in a hybrid environment, you will support production systems, manage incidents, contribute to continuous improvement initiatives, and collaborate with development, infrastructure, and external teams. Main Responsibilities Ensure the stability, availability, and performance of production applications. Monitor applications and manage incidents, problems, and service requests. Coordinate issue resolution with development, infrastructure, and external teams. Execute deployments, upgrades, patches, and change activities. Support monitoring and observability initiatives using tools such as Dynatrace. Maintain technical documentation and contribute to service improvement initiatives. Participate in on-call support activities for critical systems when required. Experience supporting business-critical applications in production environments. Experience with Red Hat JBoss EAP and Java troubleshooting. Knowledge of heap dump and thread dump analysis and performance optimization. Experience with OpenShift and Kubernetes environments. Experience with API Gateway solutions such as Axway and/or Apigee. Knowledge of RHEL Linux. Experience with monitoring and observability tools, including Dynatrace. Experience with CI/CD tools including GitLab, ArgoCD, Jenkins, and Nexus Sonatype. Experience with Ansible and/or Terraform. Knowledge of Microsoft SQL Server and PostgreSQL. Professional proficiency in Portuguese and English. Additional Valued Experience Exposure to Jaeger, Grafana, Prometheus, and ELK. Experience working within ITIL-based support processes.
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