Senior Platform Engineer

Location: Singapore

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

Job Responsibilities

Razer is looking for a Senior Platform Engineer to join our Global IT Infrastructure team in Singapore. This role has two missions: building and running the cloud, Kubernetes and DevOps platforms behind Razer’s enterprise applications, and building the AI platform that takes internal AI agents from idea to secure, well-governed production. This is an engineering role, not a support role. The emphasis is on cloud, DevOps, AI platform engineering, automation, reliability and security across a hybrid Azure (primary), AWS and on-premises estate.

You are a senior individual contributor with technical leadership responsibility: a self-directed engineer who combines engineering depth with methodical troubleshooting, and who is comfortable operating complex, international, multi-site environments. The role participates in an on-call rotation for major incidents and planned after-hours activities when required.

Key Responsibilities

Design, build and maintain scalable, secure and highly available cloud platforms, primarily on Azure, including networking, identity, compute, storage and hybrid connectivity, delivered through reusable Infrastructure as Code templates and platform components

Design, build and operate container and Kubernetes platforms, primarily AKS, for enterprise applications, APIs and AI workloads, covering provisioning, scaling, upgrades, networking, security, observability and troubleshooting

Automate provisioning, configuration, patching and lifecycle management with Infrastructure as Code (e.g. Terraform), and optimize 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 that hosts AI agents and LLM-based applications, using cloud AI services (e.g. Microsoft Foundry, Azure OpenAI, Amazon Bedrock, Amazon Bedrock AgentCore) and containers

Integrate agents securely with enterprise systems through standard APIs, connectors and Model Context Protocol (MCP)

Implement AI platform guardrails in line with Group Information Security and AI governance policies, including least-privilege agent identities, data access controls, audit logging, agent evaluation and 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 through to permanent fixes

Own backup, restore and disaster recovery, including scheduled DR tests against agreed RTO and RPO targets

Embed security into platform design and pipelines (cloud IAM, secrets management, encryption), work with Group Information Security on vulnerabilities and compliance, and maintain platform standards, runbooks and change management practices

Mentor engineers on platform engineering best practices

Other duties as assigned