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Data Engineer (CDC & Legal ETL)
Builds and maintains CDC pipelines to sync Singapore’s legal data into a Neo4j knowledge graph, ensuring AI models stay current with statutory changes via automated ETL and validation.
Senior Software Engineer (Backend/Cloud)
Builds and maintains cloud-native backend systems and microservices that orchestrate a global fleet of 5,000+ robots across 30+ countries, using Go, Kafka, Kubernetes, and AWS/GCP/Azure.
Data Engineer (Mid/Senior)
Build and optimize AI-powered data pipelines for Razer’s gaming products, including feature stores, vector databases, and real-time streaming solutions using Python, Spark, and cloud platforms.
Senior Software Engineer (Backend)
Build cloud-native backend systems and microservices that orchestrate a global fleet of robots, using Go, Kafka, and Kubernetes to enable real-time monitoring and control.
Senior Software Engineer (Backend)
Build cloud-native backend services and distributed systems that orchestrate a global fleet of robots, using Go, Kafka, and Kubernetes on AWS/GCP/Azure.
Senior Associate/Assistant Vice President, AI Data Engineer
Build AI-ready data pipelines and knowledge systems for an investment firm’s agentic AI, integrating structured financial data, unstructured research, and real-time feeds into vector stores, graph databases, and retrieval pipelines.
Data Engineer, Global Risk & Anti-Fraud
Build and maintain real-time and batch data pipelines for risk and anti-fraud systems, including feature stores, device fingerprinting, and behavior analytics using Java/Scala/Python, Flink, Spark, and ClickHouse.
Senior Backend Engineer, Cloud & Robotics Platform
Designs and builds scalable cloud-native backend services for a global robotics platform, including real-time APIs and data pipelines to monitor and control thousands of robots across multiple countries.
Software Engineer (GASP)
Build and deploy AI/ML-driven anti-scam systems on AWS, using Python/TypeScript and React, to detect and disrupt fraud at scale for Singapore’s Smart Nation initiative.
Senior Software Backend Engineer
Builds and maintains cloud-native backend services and distributed systems that orchestrate a global fleet of robots, focusing on real-time APIs, event-driven architectures, and DevOps practices.
Lead Data Engineer
Build and own a streaming-first data platform for autonomous cleaning robots, designing medallion architecture and semantic layers to power real-time fleet analytics and LLM-driven insights.
Data Engineer Neo4J
Design and implement Neo4j graph models for banking data, apply graph algorithms to detect fraud, and build real-time investigation dashboards for AML teams.
Backend / Platform Engineer
Builds and optimizes Go-based microservices and a Neo4j knowledge graph to power a legal reasoning engine, ensuring 2s p95 latency for Singapore’s statutory data pipeline.
Lead Data Engineer
Build a streaming-first data platform for autonomous cleaning robots, designing medallion architecture and semantic layers to turn real-time telemetry into trusted fleet KPIs.
Senior Full stack Developer
Builds complex web and mobile apps using AI-assisted coding, modern JS frameworks, Node.js, and NoSQL databases for an Italian IT consultancy.
Senior Software Engineer
Builds and scales an AI-driven platform that ingests enterprise data, maps workflows, and automates complex processes using Python, JavaScript, and cloud-native tools.
VEM Full Stack Engineer (m/f/d)
Build and maintain a vulnerability management platform using React for the UI and Python FastAPI for backend services, while collaborating with security teams to implement scalable features.
Junior Data Engineer
Build and optimize graph-based knowledge structures using Neo4j to power an AI-driven retrieval system for a live product.
Remote Graph Data Engineer (Neo4j/Knowledge Graph)
Designs graph data models and builds Neo4j-based knowledge graph pipelines for an AI project’s data infrastructure in Zürich.
Staff Backend Engineer (Python)
Build and scale a cloud security platform using Python, distributed systems, and data-intensive tools like Neo4j and ElasticSearch across AWS, GCP, and Azure.