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Razer

Senior Software Engineer

Razer is hiring a Senior Software Engineer in Singapore, Singapore. Level rates it ; you can apply on Razer.

Level's read on this job

  • Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
  • Level classifies it as a senior role.
  • Level lists 148 other open roles at Razer.

AI in this role

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 :

Summary

The Cloud Services Engineer is responsible for designing, building, and operating a shared, enterprise-grade cloud platform that enables secure, multi-tenant access to AI products for enterprise customers.

This role focuses on identity, authentication, authorization, tenant management, and user access enablement, ensuring that enterprise customers can securely access multiple AI products via a centralized platform. The engineer works in alignment with Platform Engineering (runtime and deployment), SRE (reliability), and Security/Compliance teams.

 

Essential Duties and Responsibilities

  • Build and operate a centralized identity system supporting enterprise users and tenants, with SSO, MFA, federated identity, and single tenant isolation.

  • Manage roles, permissions, and access policies for multi-tenant enterprise environments.

  • Enable secure user onboarding, provisioning, and lifecycle management for enterprise accounts.

  • Provide APIs and SDKs to enable AI product teams to integrate seamlessly with the identity platform.

  • Support enterprise workflows for subscription, plan-based access, and product entitlements.

  • Ensure enterprise-grade SLAs for identity, access, and tenant isolation, while ensuring scalability, security, and maintainability.

  • Define SLIs/SLOs for identity and tenant management services in collaboration with SRE.

  • Implement observability and alerting for authentication, authorization, and multi-tenant operations.

  • Automate provisioning of tenants, roles, and enterprise access policies.

  • Enable self-service onboarding for enterprise AI products and customers.

  • Support incident management for enterprise platform access issues.

Pre-Requisites :

Qualifications

  • 4+ years in cloud engineering, identity engineering, or multi-tenant platform services.

  • Strong knowledge of authentication/authorization protocols: OAuth2, OIDC, SAML, JWT.

  • Hands-on experience with multi-tenant architecture and access patterns.

  • Strong understanding of system design, networking, web technologies, and distributed high-traffic systems.

  • Strong knowledge in Web Technologies such as HTTP, REST, SSL, Load Balancers, Web Proxies (NGINX)

  • Basic knowledge in AWS, CI/CD (Jenkins, Argo), IaC (Terraform), Container Orchestration (AWS ECS or K8s), Version Control (Git), Database (mySQL, noSQL)

  • Proficiency in building and maintaining pipelines for Node.js, Go, Python, or similar languages.

  • Strong experience with modern CI/CD systems, GitOps practices, and tools (Jenkins, ArgoCD, Argo Workflows).

  • Strong Linux system administration and troubleshooting skills.

  • Familiarity with AI or data platform integrations.

  • Experience with compliance and governance frameworks.

  • Deep hands-on technical expertise and problem-solving skills

  • Ability to work in a collaborative, technically challenging environment with rapidly changing requirements.

Education & Experience

  • Has a Bachelor’s or Master’s degree in Computer Engineering, Computer Science, Electrical Engineering, or similar discipline from an accredited institution

Travel Requirements

·       Role based in Singapore office and may require up to 1 travel trip per year.

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?

How we rate this

Senior Software Engineer at Razer rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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Pay

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$167k

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