Infrastructure Engineer, Junior / New Grad (Toronto)

DataVisor Open

Remote Toronto Full-time Junior Platform & Infrastructure

At a glance

Junior Platform & Infrastructure role at DataVisor. Remote, Canada · full-time · CA$80,000–CA$120,000 base.

SalaryStated by DataVisor

CA$80,000 – CA$120,000

Base salary for this role, in CAD per year, as published in the posting.

RolePlatform & Infrastructure

SeniorityJunior

LocationToronto

WorkplaceRemote

EmploymentFull-time

Base payCA$80,000–CA$120,000

PostedNov 13, 2026

Role brief

remoteroles summary, based on the employer's posting.

What you'll do

Run Kubernetes services with Helm, helping with upgrades, capacity changes and production troubleshooting
Create and review Terraform for AWS infrastructure, and improve delivery pipelines and deployment automation
Build Python, Go, Java or Bash tools that cut manual operations work
Set up Prometheus and Grafana metrics, dashboards and alerts, then join on-call after ramp-up
Support Kafka, Flink, Spark, ClickHouse and MySQL systems, and help develop distributed real-time platform features

What you bring

You have up to three years in infrastructure, DevOps, SRE, platform or backend work; internships and substantial projects count
You can code in Python, Go, Java or Bash and are comfortable using Linux
You have used containers and Kubernetes through work, an internship or personal projects
You hold or are finishing a degree in computer science, computer engineering or another listed field

Who this fits

This junior role suits a new graduate or early-career engineer who wants both production infrastructure responsibility and hands-on coding, with mentorship from senior engineers. The position is based in Toronto and is listed as remote. You will join the on-call rotation after ramping up.

From the employer

About DataVisor

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 Overview

Join 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.

Requirements

What 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.

What you'll bring

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.

Nice to have

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