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About this opportunity

The Cloud Solution Engineer is responsible for building, deploying, and maintaining cloud-native platforms across OpenShift, OpenStack, CEE, and CNIS environments. The role requires strong Linux, OpenShift, OpenStack, networking, security, automation, and infrastructure knowledge, with an AI-first mindset to improve platform reliability, operational efficiency, and delivery speed. The engineer works closely with development, operations, and security teams to deliver secure and scalable cloud solutions.

What you will do:

• Deploy, configure, upgrade, and support cloud platforms across development, test, and production environments.
• Build and manage OpenShift and OpenStack infrastructure, including compute, storage, networking, and cluster lifecycle activities.
• Automate provisioning, configuration, validation, and operational tasks using Infrastructure as Code, scripting, and AI-assisted solutions.
• Troubleshoot Linux, Kubernetes/OpenShift, network, storage, security, and platform integration issues through structured root cause analysis.
• Implement platform security controls, vulnerability remediation, access management, and compliance requirements.
• Maintain technical documentation, runbooks, operational procedures, and reusable deployment templates.
• Collaborate with architects, developers, security teams, and support teams to ensure reliable platform delivery and continuous improvement.

The skills you bring:

• Bachelor's degree in Engineering/IT or equivalent experience with 6+ years in Cloud Infrastructure, Platform Engineering, DevOps, System Administration, or related domains.
• Strong Linux administration skills, including system services, networking, performance analysis, troubleshooting, and shell scripting.
• Experience with cloud platforms, Kubernetes/OpenShift, containers, and OpenStack technologies.
• Good understanding of networking concepts such as DNS, routing, load balancing, firewalls, IP addressing, and connectivity troubleshooting.
• Knowledge of infrastructure security, RBAC, vulnerability management, secrets management, and secure-by-design practices.
• Experience with automation tools and scripting (Python, Ansible, Terraform, GitOps, CI/CD pipelines).
• Basic hardware and datacentre infrastructure knowledge, including servers, storage, compute resources, and platform dependencies.
• Familiarity with AI tools and AI-assisted engineering practices for automation, troubleshooting, documentation, and operational efficiency.
• Strong analytical, communication, collaboration, and problem-solving skills.
• “All academic credentials must be from recognized and accredited institutions and are further subject to verification.”