Cloud Jobs in Markham, ON
Create a job alert for this search
Cloud • markham on
Research Engineer - Cloud Database
Huawei Technologies Canada Co., Ltd.Markham, York Region, CASenior Azure Cloud Engineer
Xplore Inc.Markham, York Region, CACloud Technical Lead
TrimbleRichmond Hill, Ontario, CanadaSoftware Engineer - AI / Cloud Performance
Advanced Micro DevicesMarkham, York Region, CACloud Security Architect
Recutify Inc.Markham, Ontario, CanadaEngineer - Cloud AI Infrastructure
Huawei CanadaMarkham, York Region, CACloud Engineer Manager
Onico SolutionsRichmond Hill, York Region, CACloud Technical Lead
Trimble Inc.Richmond Hill, York Region, CASRE Kubernetes Cloud Engineer – IaC, Terraform, Azure Cloud, CICD
Astra North Infoteck Inc.Markham, Ontario, CanadaEngineer - Cloud AI Infrastructure
HuaweiMarkham, York Region, CACloud Services Product Manager
Lorex TechnologyMarkham, York Region, CAAzure Cloud Apps Developer
Pet ValuMarkham, York Region, CA- Promoted
Senior Azure Cloud Engineer
Venture Computers of Canada Inc.Markham, ON, CanadaBusiness Development Representative (Cloud AWS)
Adastra CorporationMarkham, Ontario, CanadaCloud Engineer
The Nationwide GroupMarkham, York Region, CACloud Design Architect
EmersonRichmond Hill, Ontario, CanadaPrincipal Software Architect (Cloud)
OpenTextRichmond Hill, York Region, CASenior Azure Cloud Engineer
Xplore.Markham, Ontario, Canada- Brossard, QC (from $ 77,476 to $ 233,375 year)
- Niagara Falls, ON (from $ 124,316 to $ 192,095 year)
- Sainte-Therese, QC (from $ 91,691 to $ 187,805 year)
- Calgary, AB (from $ 93,707 to $ 185,250 year)
- Fredericton, NB (from $ 101,048 to $ 182,832 year)
- Sault Ste. Marie, ON (from $ 74,796 to $ 176,245 year)
- Chatham-Kent, ON (from $ 85,898 to $ 174,642 year)
- Ajax, ON (from $ 100,000 to $ 172,914 year)
- Coquitlam, BC (from $ 108,125 to $ 172,320 year)
- Markham, ON (from $ 91,525 to $ 169,583 year)
Popular searches
Research Engineer - Cloud Database
Huawei Technologies Canada Co., Ltd.Markham, York Region, CA- Full-time
Our team has an immediate permanentopening for a Research Engineer.
About the team :
Cloud Native Data Engine team within Distributed Scheduling and Data Engine Lab, led by esteemed technical experts with extensive industry and academic experience, merge software development with cutting-edge industrial research in cloud database area. Our research currently focuses on cloud native database architecture (TaurusDB) and high-performance query and transaction processing (SQL Engine) in next-generation cloud infrastructure. Team publishes innovative research at leading conferences SIGMOD, VLDB, ICDE and recognized as key technology contributors in industry.
About the job :
This unique role merges software development with cutting-edge industrial research in databases, including cloud-native database architecture (TaurusDB) and high-performance query and transaction processing (GaussDB SQL Engine) within next-generation cloud infrastructure.
Conduct research and implement groundbreaking ideas in a collaborative team environment.
Tackle complex tasks by assessing challenges and breaking down problems to identify optimal solutions.
Investigate and summarize state-of-the-art database technologies by reviewing the latest conference papers, attending workshops, and engaging with industry trends.
Optimize existing systems and develop new cloud-native, distributed database solutions, focusing on query processing, including optimizers, high-performance execution engines, and query operators.
Participate in designing novel database architectures, inventing software optimization methods, and developing prototypes. Collaborate with production teams to transition innovations into real-world applications.
Actively pursue opportunities to invent and submit patents, as well as write papers for premier academic and industrial conference.
About the ideal candidate :
1-3 years of strong programming skills in C / C++, with expertise in systems-level programming and debugging.
Proven ability to conduct research and quickly learn new technologies and products.
Excellent communication and presentation skills for effective interaction with both internal and external audiences.
Familiarity with MySQL, PostgreSQL, or other open-source databases, including an understanding of their internal mechanisms (transaction management, storage engines, MVCC, SQL optimization, query execution, vector execution, etc.) is an asset.
Deep understanding of cloud computing technologies, such as cloud storage, distributed systems, parallel computations, and consistency protocols is an asset.
Practical knowledge and project experience in machine learning or large language models (LLMs) is an asset.
Experience in cloud computing and distributed systems research is an asset.
A master’s or Ph.D. in Computer Science, Computer Engineering, Mathematics, or a related field is an asset.
#J-18808-Ljbffr