Hybrid Cloud Production Support Engineer–Java Automation

Intepros; Florida; Híbrido; USD 80.000 - 120.000; Jornada completa

Descripción de la vacante

Intepros seeks an Application Production Support Engineer to support cloud-based Java applications in a production environment. You will bridge application support and development, requiring strong troubleshooting skills and a solid understanding of end-to-end application flows, data, and system dependencies.

The role involves monitoring production systems, triaging incidents, coordinating with Dev and DB teams, and contributing to automation and optimization efforts, including AI-enabled

Formación

• Strong Java knowledge for application troubleshooting and triage.
• Mid-level to complex SQL skills.
• Azure experience strongly preferred; Kubernetes is a plus.
• Experience with Splunk, Dynatrace, or comparable monitoring tools.
• Experience with GitLab/CI-CD and deployment processes.
• Python and/or Shell scripting experience preferred.
• ServiceNow, Jira, or similar production support tools.
• Strong analytical, troubleshooting, communication, and teamwork skills.

Responsabilidades

• Monitor and support cloud-based production applications.
• Troubleshoot application, performance, and database issues; review logs and identify root causes.
• Triage incidents and coordinate with development and database teams for resolution.
• Support application deployments and ongoing maintenance.
• Develop scripts and automation using Python and/or Shell to reduce manual processes.
• Identify opportunities for application optimization and AI-enabled improvements.

Conocimientos

Java

SQL

Troubleshooting

Communication

Teamwork

Herramientas

Azure

Kubernetes

Splunk

Dynatrace

GitLab CI/CD

Jira

ServiceNow

Descripción del empleo

Intepros seeks an Application Production Support Engineer to support cloud-based Java applications in a production environment. You will bridge application support and development, requiring strong troubleshooting skills and a solid understanding of end-to-end application flows, data, and system dependencies.

The role involves monitoring production systems, triaging incidents, coordinating with Dev and DB teams, and contributing to automation and optimization efforts, including AI-enabled