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Principal Engineer

Job in Singapore, Singapore
Listing for: Razer
Full Time position
Listed on 2026-10-15
Job specializations:
  • Software Development
    Cloud Engineer - Software, Software Architect, DevOps
Salary/Wage Range or Industry Benchmark: 180000 - 240000 SGD Yearly SGD 180000.00 240000.00 YEAR
Job Description & How to Apply Below

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 #Life At Razer  experience that will put you in an accelerated growth, both personally and professionally.

Job Responsibilities : You will be working with a team of software engineers to architect, build, and deploy containerized and/or serverless applications in the cloud to support Razer's ever-growing ecosystem of microservices, data pipelines, and AI workloads. You will be responsible for the high-level design, architecture, and technical leadership of a scalable, high-performance, cost-effective, secure, and maintainable system that meets both current and future business needs.

You will play a critical leadership role in enhancing our existing single-region monolithic system into a distributed, cloud-native microservices architecture - multi-region deployments, data residency compliance, and modern service decomposition.

Essential Roles and Responsibilities

  • Lead the design and evolution of scalable, secure, high-performance, and
    distributed
    end-to-end system architectures
    and robust data synchronization with effective conflict resolution
    , aligned with business goals and technical standards.
  • Architect and drive the transformation of legacy monolithic systems into modular, domain-driven microservices deployed across multiple geographic regions.
  • Define and implement patterns for regional service deployment, traffic routing, failover, and disaster recovery to achieve low latency and high availability.
  • Design systems that comply with data residency and privacy regulations (e.g., GDPR, PDPA) by ensuring user data is stored and processed within designated geographic boundaries.
  • Utilize containerization and Kubernetes to support scalable and reproducible deployments in a cloud environment (AWS, GCP, or Azure).
  • Collaborate closely with engineering, security, product, operations, and business stakeholders to ensure the architecture supports both functional and regulatory requirements.
  • Define best practices, technical standards, and review processes to ensure consistent and high-quality design and implementation across services and regions.
  • Provide architectural guidance, technical leadership, and mentorship to engineering teams to ensure alignment with architectural vision and system goals.
  • Collaborate with cross-functional teams including PD, internal stakeholders to deliver high-quality solutions.
  • Stay current with emerging technologies in cloud infrastructure, distributed systems, AI/ML, and web architecture, and evaluate their potential to improve the system design.
  • Promote a culture of innovation, technical excellence, and continuous improvement within the architecture and engineering organization.
Pre-Requisites :

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, or related technical field.

  • 8+ years of software engineering experience, with at least 3+ years in an architecture or technical leadership role.

  • Proven experience in designing and implementing microservices-based architectures in cloud environments (e.g., AWS or GCP).

  • Demonstrated experience with migrating from monolithic to microservices architectures, including service decomposition and integration strategy.

  • Strong understanding of distributed systems, particularly multi-region deployments, including service mesh architectures, traffic routing, global failover strategies, latency optimization, regional scaling, and cross-region consistency.

  • Solid knowledge of data residency and data sovereignty…

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