Cloud & AI Infrastructure Solution Engineer

2. Job Responsibilities

• Lead technical pre-sales engagements that help customers modernise infrastructure, improve resilience, and accelerate AI readiness.
• Serve as a trusted technical advisor, influencing architecture and technology decisions across cloud, networking, security, and hybrid environments.
• Design secure, scalable, and compliant cloud architectures using Microsoft Azure.
• Deliver technical workshops, demonstrations, architecture sessions, proofs of concept, and pilot engagements that drive customer success.
• Guide customers through cloud migration and modernisation initiatives involving Windows, Linux, databases, virtualisation platforms, networking, and enterprise applications.
• Help customers adopt cloud-native technologies, platform engineering practices, containers, Kubernetes, automation, and AI-enabled operations.
• Collaborate with Microsoft sales, engineering, partner, and services teams to develop and deliver customer solutions.
• Maintain deep technical expertise across infrastructure, networking, security, modernisation, and emerging AI technologies.
• Stay current on industry trends and bring innovative ideas that help customers achieve measurable business outcomes.

Preferred Qualifications

• Experience with Microsoft Azure or other hyperscale cloud platforms.
• Experience with Kubernetes, containers, platform engineering, automation, or Infrastructure as Code.
• Familiarity with technologies such as VMware, Windows Server, Linux, SAP, Oracle, databases, or enterprise applications.
• Exposure to GitHub Copilot, AI-powered development tools, Agentic AI, or cloud-native architecture patterns.
• Experience supporting large enterprise or industry customers undergoing digital transformation.

What You'll Bring