Senior MQ Automation Engineer: Terraform & Deployments
Insight Global
Uma candidatura feita para esta oferta de emprego — um currículo e uma carta de apresentação personalizados que vão ao encontro do anúncio.
Resumo da oferta
Insight Global is seeking an MQ Automation Engineer to join the enterprise messaging team. The role focuses on IBM MQ platform engineering, certification and automation at enterprise scale, leveraging Terraform and Ansible alongside MQ administration.
The engineer will automate MQ deployments, patching, testing and certify releases, while partnering with engineering and operations to improve deployment efficiency across cloud, VM, containers and physical servers.
Qualificações
- 7-10+ years of infrastructure/ software engineering experience.
- Enterprise-scale infrastructure automation experience.
- MQ configuration, patching, maintenance, upgrades, and automation.
- Linux/UNIX administration and shell scripting.
- Experience with VMs, physical servers, containers and cloud.
- Public and private cloud experience.
- Strong troubleshooting and platform support skills.
Responsabilidades
- Automate IBM MQ deployments, patching and platform management.
- Support thousands of MQ environments across diverse infra platforms.
- Develop and enhance Terraform and Ansible automation.
- Certify, test and validate MQ releases before production.
- Collaborate with engineering and operations to improve deployments.
- Troubleshoot platform issues and optimize operations.
- Ensure deployment consistency across cloud, container, VM and physical servers.
Conhecimentos
Ferramentas
Descrição da oferta de emprego
Insight Global is seeking an MQ Automation Engineer to join the enterprise messaging team. The role focuses on IBM MQ platform engineering, certification and automation at enterprise scale, leveraging Terraform and Ansible alongside MQ administration.
The engineer will automate MQ deployments, patching, testing and certify releases, while partnering with engineering and operations to improve deployment efficiency across cloud, VM, containers and physical servers.
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