Observability Backend Engineer – Globalization Location: Singapore Function: Backend Engineering / Infrastructure / Observability Levels: Up to Principal/Staff Engineer Level 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. *Due to volume of applicants, only shortlisted candidates will be contacted EA Licence No.: 25S3232 EA Personnel Reg. No.: R1874604 EA Personnel Name: Kenneth Ho