Senior Infrastructure Engineer - Canada

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering the total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. Come join us!

We are looking for a senior level infrastructure developer with strong background and expertise in building and supporting hyper scalable infrastructure to join the team. DataVisor supports a wide variety of clouds including AWS, Azure, GCP, AliCloud, as well as some of the largest on-premise environments, all on top of Kubernetes with the latest big data and parallel computing technology. The ideal candidate will be an excellent domain expert in this area, and have strong passion in combining the most advanced machine learning technology, including unsupervised machine learning, with hyper scalable computation infrastructure to make the next generation solution that supports billions of real time sophisticated feature computation and unsupervised learning decisions.

To be successful in this role, you should have solid experience working with different technical teams in understanding different technologies and computation requirements, as well as interacting with business teams to understand product vision and value.

• BS in computer science or computer engineering required. Solid background in computer systems including operating system, networking, database, and distributed systems. Experience in hyper-scalable infrastructure in the past is a strong plus.
• 5+ years of industry experience.
• 5+ years programming experience Java/Go/Python
• 1+ years experience with Kubernetes
• 3+ years experience with big data infrastructure such as Spark, NoSQL database, real-time streaming pipeline.
• Preferred: contribution to open source big data infrastructure.
• Preferred: familiar with cloud platforms such as AWS, GCP, Azure, or Alibaba Cloud, past Site Reliability Engineering experience in the past is a plus too.
• Have a strong culture match with a fast-growing, agile startup environment: passionate, collaborative, fast iteration, and hardworking.