Principal Engineer

Database team in American lab is the R&D branch of Gauss Department, with the goal to build up a strong Cloud Data Management team, provides OLAP and OLTP solutions directly to user or through Cloud offering.

We need to explore cloud database technologies. Lead a team to explore key techniques in cloud database and data management. Identify the cutting edge technologies and build prototype.

We need to explore database transaction processing technology to enhance the performance of OLTP database in both cloud and on premise scenario. Identify the cutting edge technologies and build prototype.

Responsibility:

• Deep insight key customer requirement, key business value and industry trend in cloud database and data management or OLTP database
• Identification of different key technologies in cloud database and data management or OLTP database
• Preparation and presentation of project proposals and plans
• Direct/Lead the architecture, design and development of cloud database such as RDS, DWS or experience with transaction technology such as Elastic, high availability, strong consistency and high performance
• Lead the team to build viable prototype to demonstrate the advantage of cloud database/data management service or database transaction technology

Requirement:

• Must have M.S degree, prefer Ph.D in Computer Science, Engineering or related area
• 10 years working experience in Database Engineering and cloud database/data management service or database transaction technology
• Extensive experience with design and development cloud database or database transaction technology
• Hands on experience on cloud database design and development such as:
• Cloud data migration from private cloud to public cloud, from TP to AP, across service, across DC, etc
• Cloud data replication across data center
• Hands on experience on database transaction technology such as:
• Architecture design on mission-critical transaction processing
• High availability/disaster recovery
• Distributed transaction across node and across data center
• Database kernel development
• Design and problem diagnostic for high concurrency processing and ACID
• Database development leveraging new hardware such as SCM, RDMA, NUMA and Scale up with NUMA CPU core
• Cloud database deployment and installation
• Cloud online capacity expansion
• Cloud online upgrade
• Cloud online backup and restore
• Cloud multi-tenant, resource isolation and resource management
• Cloud database performance monitoring and tuning
• Cloud database fault diagnostic and failure recovery
• Cloud database disaster recovery