Full-time jobs in Canada (402,214 jobs)

Explore full-time jobs across Canada. Choose a location and read the full job details.

402,214 listings · 48,241 employers Counted Nov 13, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (9,570 listings), Health Match BC (4,425 listings), Walmart (3,095 listings).

Common roles: Project manager, Sales representative, Store manager.

69,410 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	24.00	39,992
CAD / year	80,000.00	26,994
CAD / month	5,377.61	753
USD / year	124,000.00	233
CAD / week	1,635.30	87
CAD / day	360.00	44
USD / hour	22.00	29
GBP / year	40,000.00	13
EUR / year	68,000.00	11
USD / month	4,000.00	11

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 1% remote, 16% hybrid, 82% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Full-time jobs in Canada

Group jobs by employerEmail me new jobs Save this search

Added 2 hours ago
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Service Delivery Manager (French)
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Montreal, QC
- Full-time
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SK · Saskatchewan, Canada
- Full-time
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Calgary, AB
- Full-time
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- Full-time
Added 2 hours ago
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MB · Manitoba, Canada
- Full-time
Added 2 hours ago
IM
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ON · Ontario, Canada
- Full-time

DataVisor

Infrastructure Engineer, Junior / New Grad (Toronto)

Remote, Canada

Remote

$80,000 to $120,000 CAD / year · Full-time

Apply on jobs.workable.com About employer

Applications open in a new tab.

Job details

Pay: $80,000 to $120,000 CAD / year
Job type: Full-time
Workplace: Remote
Remote eligibility: Canada listed. Check the posting for province restrictions.
Experience: 0-3 years of experience in infrastructure, DevOps, SRE, platform or backend engineering.
Posting language: English
Posted: Nov 13, 2026

Original job description

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.

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.

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

Apply on jobs.workable.com About employer

More about this job

Responsibilities

You will operate and scale production infrastructure on Kubernetes and AWS while developing automation tools and services. Additionally, you will participate in on-call rotations and collaborate on maintaining distributed, real-time data systems.

Requirements

Candidates should have 0-3 years of experience in infrastructure or engineering with proficiency in at least one programming language like Python, Go, or Java. A degree in Computer Science or a related engineering field is required, along with familiarity with containers and cloud environments.

Skills

Kubernetes
AWS
Terraform
Python
Go
Java
Bash
CI/CD
Prometheus
Grafana
Kafka
Flink
Spark
ClickHouse
MySQL
Linux

Benefits

Health Insurance
Extended Health Care
Vision Care
Dental Care
Life Insurance
Accidental Insurance
Retirement Savings Plan
Paid Vacation

Remote locations

Toronto, Ontario, Canada

Remote locations (standardized)

Toronto, Ontario, Canada

Visa sponsorship

Not detected in the job text

Keywords

Infrastructure Engineer
DevOps
SRE
SaaS
Artificial Intelligence
Fraud Detection
Machine Learning
EKS
Helm
Docker
GitHub Actions
Jenkins
ArgoCD
Distributed Systems
Networking
DNS
TCP/IP
Load Balancing
Big Data
Security

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Work requirements

Full-time jobs in Canada