# Observability Backend Engineer - Internationalisation

> Fuku · Singapore, Singapore · Full-time · Posted 2026-04-09

**Workplace:** on_site

## Description

Observability Backend Engineer – Globalization  
Location: Singapore  
Function: Backend Engineering / Infrastructure / Observability  
Levels: (Up to Principal/Staff Engineer)  
  
About the Role  
  
Our client is a globally scaling consumer internet platform serving hundreds of millions of users across content, community, e-commerce, and advertising ecosystems. As the company expands internationally and invests in AI-driven infrastructure, observability is critical for ensuring system reliability, performance, and compliance across regions. This role is focused on building next-generation observability systems, supporting both traditional distributed systems and emerging AI infrastructure, to ensure global platform stability and support future AI-native workloads.  
  
Key Responsibilities  
  
\- Lead the development of the observability stack across four core pillars: metrics, logging, tracing, and profiling.  
\- Build foundational observability capabilities across the full technology stack.  
\- Design and develop observability-related platforms and systems, including:  
\- Monitoring platforms  
\- End-to-end distributed tracing systems  
\- Logging services  
\- Computation engines (e.g., streaming analytics, real-time alerting, time-series analysis)  
\- Alerting systems  
\- eBPF-based observability capabilities  
\- Own both architecture design and product-level implementation.  
\- Ensure observability infrastructure operates with high performance, high availability, and stability under high-concurrency workloads.  
\- Continuously optimize systems and platforms through iterative improvements.  
\- Support both domestic and international observability architecture, data compliance requirements, and infrastructure stability initiatives.  
\- Drive the implementation of AI infrastructure and application observability, and “Observability + AI” capabilities.  
\- Improve the stability of AI-driven systems and the efficiency and usability of traditional observability platforms.  
  
Requirements  
  
Education & Experience  
  
\- Bachelor’s degree or above in Computer Science or related field.  
\- Minimum 3+ years of relevant experience.  
  
Backend Engineering Fundamentals  
  
\- Strong proficiency in Java or Go.  
\- Solid understanding of concurrent programming, distributed systems, and performance optimization.  
\- Strong coding fundamentals.  
  
Observability Ecosystem Expertise  
  
\- Hands-on experience with cloud-native observability technologies, including but not limited to:  
\- OpenTelemetry  
\- CAT  
\- SkyWalking  
\- Prometheus  
\- VictoriaMetrics  
\- ELK stack  
\- ClickHouse  
\- eBPF  
\- Understanding of Kubernetes fundamentals and practical usage.  
  
Core Systems Knowledge  
  
\- Familiarity with foundational infrastructure components, including:  
\- Linux  
\- Networking  
\- Storage systems  
\- Message queues (MQ)  
\- Deep understanding of implementation principles is preferred.  
  
(Preferred) AI-Related Experience  
  
\- Familiarity with AI-related technologies and ecosystems, including but not limited to:  
\- PyTorch  
\- Spring AI  
\- Langfuse  
\- OpenClaw  
  
Problem Solving & Collaboration  
  
\- Strong ability to identify and solve complex technical problems.  
\- Ability to summarize and abstract technical learnings.  
\- Strong cross-team collaboration capability.  
  
Mindset & Drive  
  
\- Strong curiosity and interest in emerging technologies.  
\- High sense of ownership and accountability.  
\- Ability to work effectively under pressure.  
  
Language Requirements  
  
\- Fluent in both English and Chinese.  
\- Able to collaborate effectively in a global, bilingual engineering environment.  
  
Location Requirement  
  
\- For Singapore-based roles, Singapore Citizens / PRs preferred.  
  
Why This Role  
  
\- Opportunity to build observability systems at massive scale across global infrastructure.  
\- Work on cutting-edge areas combining distributed systems, cloud-native observability, and AI infrastructure.  
\- Direct exposure to AI observability, a scarce and high-value niche.  
\- Opportunity to shape next-generation observability platforms for global expansion.

## Apply

[Apply at Fuku](https://apply.workable.com/fuku/j/BF873C3B94/apply)

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