OpenStack Platform Engineer - (Public Sector)

At Xtremax, we are looking for an experienced OpenStack Platform Engineer to design, automate, and operate reliable cloud infrastructure at scale. You will work across OpenStack, Kubernetes, OpenShift, and Red Hat Linux to build and maintain a platform that is secure, resilient, scalable, and operationally efficient.

This role goes beyond day-to-day platform administration. You will contribute to infrastructure automation, capacity and performance optimisation, platform lifecycle management, and complex troubleshooting. You will also have the opportunity to explore Generative AI, Agentic AI, and AIOps, including AI-assisted automation, incident analysis, remediation, and integration with OpenStack APIs and infrastructure tooling.

You will work closely with engineers and cross-functional teams on platform improvements, root cause analysis, code reviews, testing, and technical documentation. The role is well suited to an experienced infrastructure engineer who wants to combine deep cloud-platform expertise with modern automation and AI-driven operations.

• Design, implement, and maintain Red Hat OpenStack-based cloud infrastructure.
• Develop and optimise automation for OpenStack deployment, configuration, administration, and lifecycle management.
• Integrate OpenStack with surrounding platforms and services, including Kubernetes and OpenShift.
• Troubleshoot complex issues across OpenStack components, Red Hat Linux, and the underlying infrastructure.
• Drive platform reliability through security hardening, capacity planning, performance optimisation, and scalability improvements.
• Support OpenStack platform lifecycle activities, including version upgrades, hotfixes, system administration, and change management.
• Explore and implement Agentic AI and AIOps capabilities to improve infrastructure monitoring, troubleshooting, incident analysis, and remediation.
• Develop or integrate AI agents with OpenStack APIs and automation tools to streamline infrastructure operations.
• Participate in root cause analysis, code reviews, unit testing, and continuous improvement of platform engineering practices.
• Create and maintain technical documentation, operational playbooks, and knowledge resources, while providing technical guidance to less experienced team members.

• Degree in Computer Science, Information Technology, Engineering, or a related discipline, with 5+ years of relevant experience.
• Strong hands-on experience with Red Hat OpenStack or another OpenStack platform.
• Strong expertise in Kubernetes.
• Strong experience administering Red Hat Linux environments.
• Experience with infrastructure provisioning in VMware ESXi/ESX environments.
• Experience with infrastructure monitoring using Prometheus and related monitoring/operations tooling.
• Experience integrating or working with the Elastic Stack.
• Strong troubleshooting, analytical, problem-solving, and root cause analysis skills.
• Good understanding of infrastructure automation and Infrastructure as Code practices.
• Excellent written and verbal communication skills, with the ability to work effectively across engineering, operations, third-party, and customer-facing teams.

• Experience with Generative AI, LLMs, Agentic AI, or AIOps for infrastructure operations.
• Experience implementing AI agents or AI-assisted automation for cloud/OpenStack administration.
• Experience integrating AI/LLM capabilities with APIs, Python, Ansible, or Terraform.
• Experience with Terraform or other Infrastructure as Code technologies.
• Red Hat or OpenStack certifications, particularly in Linux or OpenStack administration.
• Understanding of application development lifecycles and CI/CD practices.
• Experience applying CI/CD tools as part of an OpenStack platform lifecycle.
• Proven technical leadership or mentoring experience in infrastructure environments.
• Experience establishing engineering standards for quality, performance, or operational productivity.

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