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 fraud and anti-money laundering (AML) solutions scale infinitely and enable 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 significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering 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!
Role OverviewJoin the infrastructure team that runs DataVisor's real-time detection platform and builds the software around it. You will split your time between operating production infrastructure (Kubernetes, AWS, monitoring) and writing code: automation, internal tools and platform services. Senior engineers will mentor you, and you'll take on real production ownership in your first months.
RequirementsWhat you'll do
- Deploy and operate services on Kubernetes (EKS) with Helm, and help with upgrades, scaling and troubleshooting.
- Write and review Terraform for AWS resources.
- Build and improve CI/CD pipelines and deployment automation.
- Write Python, Go, Java or Bash tools and services that remove manual operations work.
- Add metrics, dashboards and alerts in Prometheus and Grafana. Join the on-call rotation once you're ramped up.
- Help run the data systems behind detection (Kafka, Flink, Spark, ClickHouse, MySQL) and learn how they behave under load.
- Work with the platform team on features for distributed, real-time systems.
- 0-3 years of experience in infrastructure, DevOps, SRE, platform or backend engineering. Internships, co-ops and substantial projects count.
- Programming ability in at least one of Python, Go, Java or Bash, and comfort working in Linux.
- Exposure to containers and Kubernetes (Docker, Kubernetes, Helm) at work, in an internship, or in your own projects.
- Familiarity with a public cloud (AWS preferred) and an interest in infrastructure as code.
- An understanding of networking basics (DNS, TCP/IP, load balancing) and of how distributed systems fail.
- A degree in Computer Science, Computer Engineering, Electrical Engineering, Electronics or a related field, completed or finishing soon.
- A Computer Engineering, Electrical Engineering or Electronics background, with hands-on hardware, systems or networking knowledge.
- Terraform, CI/CD (GitHub Actions, Jenkins, ArgoCD) or monitoring tools used in a real setting.
- Experience with Kafka, Spark or a SQL database beyond coursework.
- Interest in fraud, risk or payments.
- Use of AI or LLM tools to automate work.
Benefits
- Compensation: Annual salary range of CAD $80,000 – $120,000, commensurate with experience.
- Health Insurance, including (Extended Health Care, Vision Care, and Dental Care)
- Life Insurance, Accidental Insurance
- Retirement Savings Plan
- Paid Vacation
Skills Required
- 0–3 years of experience in infrastructure, DevOps, SRE, platform, or backend engineering; internships, co-ops, and substantial projects count
- Programming ability in at least one of Python, Go, Java, or Bash
- Comfort working in Linux
- Exposure to containers and Kubernetes, including Docker, Kubernetes, or Helm
- Familiarity with a public cloud, preferably AWS
- Interest in infrastructure as code
- Understanding of networking basics, including DNS, TCP/IP, and load balancing
- Understanding of how distributed systems fail
- Completed or soon-to-be-completed degree in Computer Science, Computer Engineering, Electrical Engineering, Electronics, or a related field
- Computer Engineering, Electrical Engineering, or Electronics background with hands-on hardware, systems, or networking knowledge
- Experience with Terraform, CI/CD, GitHub Actions, Jenkins, ArgoCD, or monitoring tools in a real setting
- Experience with Kafka, Spark, or a SQL database beyond coursework
- Interest in fraud, risk, or payments
- Use of AI or LLM tools to automate work
What We Do
DataVisor is a leading AI-Powered fraud and risk management platform that enables organizations to respond to fast-evolving cyber attacks and mitigate risks as they happen in real time. Our mission is to protect large consumer facing enterprises protect their business and their customers from digital threats and restore trust and safety online. DataVisor is venture-backed by New View Capital and Sequoia and is Series- C funded. It is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
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