DataVisor is a next generation security company that provides a comprehensive fraud detection platform that delivers the complete suite of tools to boost fraud detection and minimize financial loss. Powered by machine learning at its core, the platform packages combine rules engine, device intelligence with investigation and decisioning tools to enable a holistic fraud prevention strategy for enterprises to combat modern fraud.utilizes industry leading unsupervised machine learning to detect fraudulent activity for financial transactions, mobile user acquisition, social networks, commerce and money laundering. Our solution is used by some of the largest internet properties in the world, including Pinterest, FedEx, AirAsia, Synchrony Financial, Tokopedia, Zomato and Ping An, to protect them from the ever-increasing risk of fraud.

DataVisor holds a rich product portfolio of AI as a platform and other SaaS products, such as feature platform, dEdge, rule engine, case management and dCube. Our award-winning software is powered by a team of world-class experts in big data, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. Come join us!

Summary:

As a Delivery Engineer (DE), you are responsible for leveraging our state-of-art fraud detection SaaS products to solve our key clients' fraud and risk problems. You provide technical solutions and consultative services of our state-of-art fraud detection SaaS products to a portfolio of Fortune 500 customers in FinTech, Banking, E-commerce industries. From managing detection system performance to debugging product issues, you are an expert who can provide technical guidance and share best practices with customers on using our Machine Learning models, Rules Engine, and Device Intelligence Signals to detect fraud and risks. You work cross-functionally with Engineering and Product teams to implement new ideas to our analytics solution.

Requirements

Responsibilities

1. Work with the Solution Architect to design the delivery solution for the clients.
2. Onboarding for the new client or new use case of existing clients.
3. Coordinate with internal teams like R&D, infrastructure, algorithm and other teams, to debug and fix issues for the clients.
4. Coordinate with the vendors for any issue/requirement and fix/finish.
5. Coding for the integration with the client system.
6. Create documents for the process of each project, including design doc, architecture, training doc etc.

Qualifications

1. BS in computer science or related field

2. Experience with Linux, Ansible, Doker, K8S etc.
3. Experience with Mysql, kafka etc.
4. Experience with Spark, Hadoop, Clickhouse, Cassandra is a plus.
5. Experience with coding by Java/Python is a plus.
6. Good communication skill
7. Good issue analysis and solutioning
8. Good team work player

9. Fluent communication in English and Mandarin is a must (speaking, writing, and reading).

10. At least 1 year experience on IT delivery/coding/testing.

Benefits

Health Insurance, PTO