Top Tech Jobs & Startup Jobs

Lead day-to-day finance operations and end-to-end accounting for assigned Hong Kong entities, including month-end close, reconciliations, management and statutory reporting under IFRS/HKFRS. Reconcile bank, exchange, wallet and digital asset balances, manage audits and tax reporting, maintain controls, drive process improvements and support new business and ad hoc projects.

The role involves integrating AI models with various business domains, developing integration solutions, maintaining system availability, and enhancing technology practices.

The Software Architect for Liquidity Platform will develop and implement trading strategies, optimize performance, and assist in troubleshooting, leveraging a strong technical background in application development and market knowledge.

The AI Engineer will develop scalable AI algorithms to detect and prevent fraud in blockchain data, utilizing transformer models and graph databases. Responsibilities include deploying AI services and collaborating with engineers to enhance fraud detection capabilities.

Lead product planning and solution design for an AI-native engineering platform that integrates AI Agents, AI coding, CI/CD, testing, deployment, and knowledge systems to improve engineering productivity. Translate multi-role engineering workflows into measurable product capabilities, drive integration with code repositories and DevOps tools, evaluate product effectiveness, and scale adoption from pilot to enterprise-wide rollout.

The role involves developing backend microservices, designing high-scale APIs, optimizing JVM performance, and collaborating across teams to enhance fraud risk solutions.

Design and own large-scale Web3 big data platform and pipelines (real-time and batch), maintain data warehouse/lake, integrate AI/LLM capabilities (RAG, embeddings, Text2SQL), collaborate with AI, product, risk and growth teams, and optimize performance, reliability, and data quality for on-chain analytics and ML use cases.

Operate and support multi-cloud data platform components (Alibaba Cloud and AWS). Build monitoring, SLA/SLOs, respond to incidents, troubleshoot and root-cause issues, optimize compute/storage and cloud costs, develop automation and operational tooling, and collaborate with data and platform teams and cloud vendors to improve platform reliability.

Design and build a multi-cloud Operations Automation & Cloud Management Platform. Integrate cloud provider APIs and Terraform, develop CMDB, Event Center, orchestration engines, REST/gRPC interfaces, and AI/LLM-driven intelligent orchestration, workflow, and ChatOps capabilities. Ensure security (OIDC, IAM, RBAC) and operational stability.

Lead design and build of an R&D Efficiency Platform to improve engineering delivery via CI/CD, DevSecOps, change management, AI-native pipeline automation, microservice governance, and cloud scalability.