Senior Platform Engineer (AI)

Location: Singapore

Company

Razer is a global gaming company with teams across five continents, developing gamer-focused products and enterprise technology platforms.

What you will do

• Design, build, and maintain secure, scalable, and highly available Azure cloud platforms across networking, identity, compute, storage, and hybrid connectivity.
• Build and operate production Kubernetes platforms, primarily AKS, for enterprise applications, APIs, and AI workloads, including scaling, upgrades, security, observability, and troubleshooting.
• Automate infrastructure provisioning, configuration, patching, lifecycle management, CI/CD, GitOps, testing, security scanning, deployment, rollback, and release controls.
• Lead cloud modernization initiatives, including migration, containerization, legacy retirement, and internal developer platform capabilities.
• Deploy and operate the platform for AI agents and LLM-based applications, integrating agents with enterprise systems through APIs, connectors, and MCP.
• Implement AI governance and platform security, monitoring, SLOs, backup and disaster recovery, incident response, post-incident fixes, runbooks, and change management.

Requirements

• 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 is also relevant, along with Windows and/or Linux servers, virtualization, enterprise networking, hybrid connectivity, and private endpoints.
• Hands-on experience running Kubernetes in production, ideally AKS, including deployment, scaling, upgrades, networking, security, and troubleshooting.
• Experience with Infrastructure as Code such as Terraform, CI/CD platforms such as GitHub Actions or Azure DevOps, and Git-based workflows.
• Scripting experience with PowerShell, Python, and/or Bash.
• Experience with observability platforms such as Azure Monitor, Prometheus, or Grafana; enterprise backup and disaster recovery; and major incident response.
• Experience with platform security, including cloud IAM, Microsoft Entra ID and Azure RBAC or AWS IAM, secrets management with Azure Key Vault or HashiCorp Vault, and encryption.
• Hands-on experience deploying or operating AI/LLM-based applications or AI agents in a production or enterprise environment, plus working knowledge of at least one cloud AI platform such as Microsoft Foundry with Azure OpenAI, Copilot Studio, or Amazon Bedrock.
• Understanding of AI-specific security risks, including prompt injection and data leakage, and methods to mitigate them at the platform level.
• Strong analytical and problem-solving skills, calm and structured behavior under pressure, and clear communication with technical and business stakeholders in a global team.

Nice to have

• Familiarity with Microsoft Agent 365, Entra Agent ID, Microsoft Purview, and Defender capabilities for governing and securing enterprise AI agents.
• Familiarity with agent frameworks such as Semantic Kernel, LangGraph, or Claude Agent SDK, MCP, and retrieval-augmented generation using services such as Azure AI Search.
• Experience building internal developer platform capabilities and leading modernization projects.
• Knowledge of FinOps, cloud cost governance, ITIL, and SRE practices such as SLOs and error budgets.
• Certifications such as CKA, Terraform Associate, AZ-400, AZ-305, AWS Certified DevOps Engineer – Professional, or AWS Certified Security – Specialty.

Culture & Benefits

• Work as part of a global team across five continents.
• Participate in an on-call rotation for major incidents and planned after-hours activities when required.
• Work in an inclusive and respectful environment committed to equal opportunity and fair treatment.
• Reasonable accommodations are provided where needed for disability or religious practices.