Senior Platform Engineer (Cloud, Kubernetes, AI Platform)

About the role

Razer is hiring a Senior Platform Engineer for its Global IT Infrastructure team in Singapore. The role is an engineering position, not support, focused on building and running the cloud, Kubernetes and DevOps platforms behind Razer's enterprise applications, and building the AI platform that moves internal AI agents from idea to secure, governed production. It sits in a hybrid Azure (primary), AWS and on-premises estate, with technical leadership responsibility and an on-call rotation for major incidents.

Key responsibilities

• Design, build and maintain scalable, secure, highly available cloud platforms on Azure, including networking, identity, compute, storage and hybrid connectivity via reusable Infrastructure as Code templates.
• Design, build and operate container and Kubernetes platforms (primarily AKS) for enterprise apps, APIs and AI workloads, covering provisioning, scaling, upgrades, networking, security and observability.
• Automate provisioning, configuration, patching and lifecycle management with Infrastructure as Code (e.g. Terraform) and optimise cloud resources for performance, security and cost.
• Build and maintain enterprise CI/CD and GitOps capabilities, including automated testing, security scanning, image management, deployment, rollback and release controls.
• Lead modernization initiatives such as cloud migration, containerization and legacy retirement.
• Design, deploy and operate the platform hosting AI agents and LLM-based applications, integrating agents securely with enterprise systems via APIs, connectors and Model Context Protocol (MCP).
• Implement AI platform guardrails aligned with group information security and AI governance policies, including least-privilege identities, data access controls, audit logging, evaluation, versioning, runtime observability and monitoring of AI usage and cost.
• Mitigate AI-specific risks such as prompt injection and data leakage through platform design and controls.
• Provide reusable templates, reference architectures and self-service environments, and help departments move AI and agentic use cases from prototype to production.
• Implement centralized monitoring, logging, alerting and platform SLOs; act as technical lead during major incidents and drive post-incident reviews.
• Own backup, restore and disaster recovery, including scheduled DR tests against agreed RTO and RPO targets.
• Embed security into platform design and pipelines (IAM, secrets management, encryption), work with Group Information Security on vulnerabilities and compliance, and mentor engineers.

Required profile

• Bachelor's degree in computer science, IT or equivalent practical experience, plus 5+ years in platform engineering, cloud infrastructure, DevOps or SRE.
• Hands-on production experience with Azure (AWS a plus), Windows and/or Linux servers, virtualization and enterprise networking, including hybrid connectivity and private endpoints.
• Hands-on experience running Kubernetes in production, ideally AKS.
• Experience deploying or operating AI/LLM-based applications or AI agents in a production or enterprise environment.
• Clear communication across technical and business stakeholders in a global team, with strong analytical and problem-solving skills.

Required skills

• Infrastructure as Code (e.g. Terraform), CI/CD (e.g. GitHub Actions, Azure DevOps) and Git-based workflows.
• Scripting in PowerShell, Python and/or Bash.
• Observability platforms (e.g. Azure Monitor, Prometheus, Grafana), enterprise backup and DR, and major incident response.
• Cloud IAM (Microsoft Entra ID, Azure RBAC, AWS IAM), secrets management (Azure Key Vault, HashiCorp Vault) and encryption.
• At least one cloud AI platform (e.g. Microsoft Foundry, Azure OpenAI, Copilot Studio, Amazon Bedrock).
• Added advantage: Microsoft Agent 365, Entra Agent ID, Purview and Defender; agent frameworks (Semantic Kernel, LangGraph, MCP, RAG); internal developer platform experience; FinOps, ITIL and SRE practices; certifications such as CKA, Terraform Associate, AZ-400, AZ-305, AWS DevOps Professional or AWS Security Specialty.