Distinguished Architect - Distributed Database

Huawei Canada has an immediate permanent opening for a Distinguished Architect.

About the team :

The Distributed Data Storage and Management Lab leads research in distributed data systems, aiming to develop next-generation cloud serverless products that encompass core infrastructure and databases. This lab addresses various data challenges, including cloud-native disaggregated databases, pay-by-query user models, and optimizing low-level data transfers via RDMA. Teams within this lab create advanced cloud serverless data infrastructure and implement cutting-edge networking technologies for Huawei's global AI infrastructure.

About the job :

Lead research and development of distributed, highly available transaction processing database management system focusing on algorithms for scale up and scale out.

Lead a team of architects and engineers to develop proof-of-concept systems and components across the data manager, buffer manager and transaction processing components.

Investigate and design new data structures and algorithms focusing on lockless and NUMA aware approaches on the latest and state of the art hardware technology.

Continuous enhancements on the distributed database system to fulfill customer requirements for self-tuning under differing workload conditions.

Mentor junior colleagues on algorithm design, data structure and software engineering aspects focusing on high performance scalable code.

Work with QA and continuous integration teams to drive a quality overall solution though a combination of automated unit tests, functional testing and system testing of the solution.

About the ideal candidate :

Proficient in C and C++ programming.

10+ years’ experience with design, architecture, anddevelopment of a distributed database, storage system, file system, or cache system.

Experience in open source community is an asset.

Excellent documentation, organization and communication skills.

Publication history and patent success is an asset.

Bachelor's in Computer Science / Electrical Engineering; Master's or PhD is an asset.

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