Senior Distributed Systems Engineer

About the firm

A well-funded AI infrastructure company building large-scale search and retrieval systems for AI-native applications. The team operates across distributed web crawling, embedding model training, and high-performance backend infrastructure, running workloads across significant GPU and compute clusters.

Role objective

Design and scale core infrastructure powering large-scale data ingestion, retrieval, and AI-driven systems. This role focuses on performance, reliability, and system design across distributed environments.

What you’ll work on

• Large-scale crawling and ingestion systems
• High-throughput backend services and data pipelines

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• Distributed compute orchestration and observability
• Tooling and infrastructure supporting ML and search workflows

Requirements

• 4+ years’ experience building distributed or performance-critical systems
• Strong engineering fundamentals; experience with Rust, C++ or similar low-level languages preferred
• Experience operating production systems at scale

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• High ownership mindset, comfortable in small, senior teams

Why this role

• Deep systems engineering at genuine internet scale
• Significant GPU and distributed compute infrastructure
• Small, high-calibre team with strong technical bar
• Visa sponsorship and relocation to Singapore
• Competitive base (up to USD 300k) plus meaningful equity

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