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DataVisor

Real-time fraud detection & risk management

Infrastructure Engineer Junior New Grad

Platform EngineeringPosted on Nov 13
Full-timeToronto, ON, CanadaCA$80k - CA$120k /yrRemote

About the Job

Requirements

  • The candidate must have 0–3 years of experience in infrastructure, DevOps, site reliability engineering, platform or backend engineering; internships, co-ops and substantial projects count.
  • The candidate must be able to program in at least one of Python, Go, Java or Bash and be comfortable working in Linux.
  • The candidate must have exposure to containers and Kubernetes, including Docker, Kubernetes or Helm, through work, an internship or personal projects.
  • The candidate must be familiar with a public cloud, with AWS preferred, and interested in infrastructure as code.
  • The candidate must understand networking basics, including DNS, TCP/IP and load balancing, and how distributed systems fail.
  • The candidate must have completed or be finishing soon a degree in Computer Science, Computer Engineering, Electrical Engineering, Electronics or a related field.

Responsibilities

  • 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, and join the on-call rotation once ramped up.
  • Help run the data systems behind detection, including Kafka, Flink, Spark, ClickHouse and MySQL, and learn how they behave under load.
  • Work with the platform team on features for distributed, real-time systems.

Desired Qualifications

  • A Computer Engineering, Electrical Engineering or Electronics background, with hands-on hardware, systems or networking knowledge.
  • Terraform, CI/CD (GitHub Actions, Jenkins or 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.

About the Company

DataVisor

Real-time fraud detection & risk management

DataVisor offers a fraud detection and risk management platform for fintech and cybersecurity, helping financial institutions, e-commerce platforms, and online services detect and prevent fraudulent activity in real time. The core product integrates with clients’ existing data systems through APIs, supporting real-time or batch data processing to identify suspicious patterns. Machine learning analyzes large datasets to spot indicators of fraud and continuously improve detection accuracy. The company differentiates itself by providing a flexible, API-based integration that fits into clients’ current workflows and data environments, enabling real-time prevention across diverse use cases. Revenue comes from a subscription model that gives clients ongoing access to the platform and updates. The goal is to help organizations protect their operations and customers by staying ahead of increasingly sophisticated fraud schemes.

Company size
51-200
Company stage
Late Stage VC
Total funding
$94.5M
Headquarters
Mountain View, CA
Founded
2013

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