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Tech Lead (Full-Stack, TypeScript)
Tech Lead builds and leads a full-stack TypeScript team for a fintech product, making architecture decisions and mentoring developers using React/Next.js, Node.js/Nest.js, and PostgreSQL.
Senior Full-Stack Developer (TypeScript)
Build and maintain a TypeScript-based product using React/Next.js (frontend) and Node.js/Nest.js (backend), integrating APIs like Stripe and ensuring code quality.
Senior Database Administrator - Cloud & Performance
Senior Database Administrator designs, optimizes, and secures ClickHouse, Elasticsearch, and MySQL systems for a Hong Kong-based tech company.
(Senior) Database Administrator (DBA)
Maintain and optimize cloud/open-source databases (ClickHouse, Elasticsearch, MySQL, MongoDB, Redis) for a fintech company, ensuring 24/7 availability and performance.
Senior/Staff Engineer, Liquidity Platform, Data Engineer (Data Platform)
Build and operate a high-throughput crypto market-data platform: ingest exchange APIs, run streaming/batch pipelines, and maintain storage backends like Iceberg, ClickHouse, and PostgreSQL to serve trading desks and analytics.
Staff/Senior Staff Web3 Big Data Engineer
Build and own a large-scale Web3 big data platform that ingests on-chain transactions, trading behavior, and user profiles, then layer AI/ML tools for fraud detection, risk modeling, and natural-language data querying.
SENIOR DATA ENGINEER
Design and build real-time data pipelines with Apache Flink, collaborate on feature stores for ML models, and partner with AI, risk, and compliance teams to keep crypto exchange systems fast and reliable.
Senior/Staff Software Engineer, Liquidity Platform
Build low-latency crypto trading infrastructure and automated strategies for a global exchange, integrating CeFi/DeFi venues, risk systems, and real-time data pipelines.
Senior Java Architect & Platform Lead (K8s/Docker)
Leads backend architecture for a trading platform using Java, Kubernetes, and Docker, optimizing performance and mentoring engineers while integrating Kafka, Zookeeper, and ClickHouse.
Backend/Systems Engineer (Real-Time System)
Own and optimize real-time data infrastructure for a trading environment, integrating systems, scaling Kubernetes, and building monitoring/reporting stacks in Go/Java/C++/Python/Rust.
Backend/Systems Engineer (Real-Time System)
Own and optimize real-time data infrastructure for a fintech trading environment, integrating systems, scaling Kubernetes clusters, and building monitoring/reporting stacks.
Java Developer
Build and maintain a Java-based trading platform using Spring, Kafka, and Kubernetes; lead a team to deliver high-performance financial transaction systems.
Senior Java Developer (Trading Platform)
Builds and maintains a low-latency trading platform for crypto assets using Java, Python, React, and event-driven architecture with real-time risk controls and observability.
Cloud DevOps Engineer
Maintains and deploys cloud and on-prem tools (Kubernetes, GitLab, AWS) and automates infrastructure with Terraform/Ansible for a quantitative trading firm.
Streaming Data Engineer
Build end-to-end streaming data pipelines using Kafka, Flink, Spark Streaming and cloud services to process real-time data and deliver low-latency insights for enterprise clients.
Data Engineer
Build and maintain scalable data pipelines and warehouses using BigQuery, ClickHouse, Airflow, Kafka, and CDC tools to power analytics and reporting.
Staff Backend Engineer
Lead backend development for a high-scale trading platform using Java 21, Go, and microservices, mentoring a small team to deliver resilient, low-latency financial services.
Senior Backend Engineer
Builds and maintains scalable data pipelines and APIs using NextJS, NestJS, PHP, and AWS to move and process large datasets efficiently.
Senior Full Stack Developer - Work from Home/Hybrid (A-SPLD)
Build and optimize a high-performance full-stack app using Next.js, Node, and ClickHouse; mentor junior devs and set engineering standards while integrating AI tools.
Data Engineering Manager
Lead a team to build and maintain Kami’s data infrastructure—warehouses, pipelines, and models—using tools like BigQuery, dbt, and Kafka to deliver insights that power the company’s education platform.