Senior Platform Engineer

Razer (Asia-Pacific) Pte Ltd; Singapore; On-site; SGD 140,000 - 220,000; Full time

Job summary

Razer (Asia-Pacific) Pte Ltd in Singapore seeks a Senior Platform Engineer to join the Global IT Infrastructure team. The role focuses on designing and operating scalable cloud platforms on Azure, AKS-based Kubernetes, and an AI platform, with emphasis on automation, reliability, security and cost governance across hybrid environments.

You will lead initiatives, mentor engineers and own on-call incidents. The ideal candidate has 5+ years in platform engineering, strong hands-on experience with

Qualifications

• 5+ years in platform engineering, cloud infra, DevOps or SRE.
• Hands-on with Azure (AWS a plus), Windows/Linux servers and virtualization.
• Production Kubernetes experience, ideally AKS, with deployment, scaling and security.
• Infrastructure as Code (Terraform) and Git-based pipelines required.
• Strong security, observability, backup, DR and incident response experience.

Responsibilities

• Design, build and maintain scalable, secure cloud platforms on Azure.
• Operate container and Kubernetes platforms (AKS) for apps and AI workloads.
• Automate provisioning and lifecycle management with IaC and optimize resources.
• Develop CI/CD and GitOps capabilities with testing and security scanning.
• Lead modernization, cloud migration and on-call incident response.

Skills

Azure

AKS

Kubernetes

Terraform

CI/CD

GitHub Actions

Cloud security

Observability

Automation

SRE practices

Education

Bachelor's degree in CS/IT or equivalent

Tools

Terraform

GitHub Actions

Azure Monitor

Prometheus

Grafana

HashiCorp Vault

Entra ID / Azure RBAC

Azure OpenAI / AI platform tooling

AKS management

Job description

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

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 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: deployment, scaling, upgrades, networking, security and troubleshooting 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 Experience with observability platforms (e.g. Azure Monitor, Prometheus, Grafana), enterprise backup and DR, and leading major incident response Platform security: cloud IAM (Microsoft Entra ID and Azure RBAC, or AWS IAM), secrets management (Azure Key Vault, HashiCorp Vault) and encryption Hands-on experience deploying or operating AI/LLM-based applications or AI agents in a production or enterprise environment Working knowledge of at least one cloud AI platform (e.g. Microsoft Foundry with Azure OpenAI, Copilot Studio, Amazon Bedrock) Understanding of AI-specific security risks (prompt injection, data leakage) and how to mitigate them at the platform level Strong analytical and problem-solving skills, calm and structured under pressure, with clear communication across technical and business stakeholders in a global team Familiarity with Microsoft Agent 365, Entra Agent ID, Microsoft Purview and Defender capabilities for governing and securing enterprise AI agents is an added advantage Familiarity with agent frameworks (e.g. Semantic Kernel, LangGraph, Claude Agent SDK), MCP and retrieval-augmented generation (RAG) using services such as Azure AI Search is an added advantage Experience building internal developer platform capabilities and leading modernization projects is an added advantage Knowledge of FinOps and cloud cost governance, and of ITIL and SRE practices (e.g. SLOs, error budgets), is an added advantage Certifications such as CKA, Terraform Associate, AZ-400, AZ-305, AWS Certified DevOps Engineer – Professional or AWS Certified Security – Specialty are an added advantage

Pre-Requisites :

Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best.

Are you game?

At Razer, you’ll be at the forefront of the most exciting industry in the world: gaming. As gaming evolves, so does the ecosystem that powers it: hardware, software and services. Guided by our mission “For Gamers. By Gamers.”, we create cutting‑edge products and experiences that define the ultimate gameplay. Staying true to our mission, we’re relentlessly pushing boundaries and leading the charge in AI for gaming, shaping the future of the industry. At Razer, you won’t just witness this evolution; you’ll help drive it. Joining Razer means being part of a global mission to bring gamers closer to the games they love. Whether you’re crafting the next generation of gaming gear or powering our global operations behind the scenes, you’ll take on meaningful work in a truly international, cross‑cultural environment. The journey toward Being Phenomenal isn’t always easy, but gamers excel through teamwork, grit, and problem‑solving. Our people are what make Razer exceptional. Together, we’ll take Razer to even greater heights. Razer is proud to be certified a Great Place to Work® in both the United States and Singapore, and recognized as a Singapore Top Employer by the Top Employer Institute, reflecting our commitment to making your journey here a rewarding one.

Equal Opportunity Employer

At Razer, we believe diverse teams build better ideas and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected by the laws of the countries we operate in. We also provide reasonable accommodations where needed — including for disability or religious practices — so every team member can perform and contribute at their best.