Fuku
Tech / AI / Software
ObservabilityBackendEngineerGlobalization
“Observability Backend Engineer - Globalization at Fuku. Skills: Observability Backend Engineering, metrics, logging, tracing, profiling, Monitoring platforms, distributed tracing systems, Logging services, Computation engines, Alerting systems, eBPF-based observability capabilities, Java, Go, OpenTelemetry, Prometheus, ELK stack, Kubernetes, Linux, Networking. Lead the development of the observability stack across four core pillars: metrics, logging, tracing, and profiling. Build foundational ob”
What You'll Achieve.
ensuring system reliability, performance, and compliance across regions; ensure global platform stability and support future AI-native workloads; high performance, high availability, and stability under high-concurrency workloads; Improve the stability of AI-driven systems and the efficiency and usability of traditional observability platforms
Industry & Context.
ability to identify and solve complex technical problems
What They're Looking For.
Must Have
Bachelor’s degree or above in Computer Science or related field, Minimum 3+ years of relevant experience, proficiency in Java or Go, Solid understanding of concurrent programming, distributed systems, and performance optimization, coding fundamentals, Hands-on experience with cloud-native observability technologies, Understanding of Kubernetes fundamentals and practical usage, Familiarity with foundational infrastructure components, Fluent in both English and Chinese, Able to collaborate effectively in a global, bilingual engineering environment
Nice to Have
Deep understanding of implementation principles is preferred, Familiarity with AI-related technologies and ecosystems, Singapore Citizens / PRs preferred
What You'll Do.
Lead the development of the observability stack across four core pillars: metrics
Build foundational observability capabilities across the full technology stack
Design and develop observability-related platforms and systems
Own both architecture design and product-level implementation
Ensure observability infrastructure operates with high performance
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
How You'll Work.
Team & Collaboration
cross-team collaboration capability; Able to collaborate effectively in a global, bilingual engineering environment
Communication Scope
Fluent in both English and Chinese; Ability to summarize and abstract technical learnings
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