Observability Backend Engineer - Internationalisation

Title: Observability Backend Engineer - Internationalisation - Fuku

URL Source: https://apply.workable.com/j/BF873C3B94

Markdown Content: 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.