Full-time jobs in Canada (381,597 jobs)

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

381,597 listings · 47,385 employers Counted Nov 10, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (9,063 listings), Health Match BC (4,035 listings), Walmart (2,924 listings).

Common roles: Project manager, Sales representative, Cook.

66,937 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	39,117
CAD / year	80,000.00	25,484
CAD / month	5,317.00	697
USD / year	128,000.00	225
CAD / week	1,530.00	77
CAD / day	360.00	44
USD / hour	22.00	28
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 17 hours ago
S
HR Advisor Specialized in Labor Relations - Temporary
Safran
Mirabel, QC
- Full-time
Day shift, Monday to Friday, 38 hours per week
Added 17 hours ago
S
Machinist - Weekend Night Shift
Safran
Mirabel, QC
- Full-time
Added 17 hours ago
S
Surface Treatment Operator (Plating Operator) - Weekend Night Shift
Safran
Mirabel, QC
- Full-time
Added 17 hours ago
K
Technical Service Representative, Electrical
Komatsu
Sparwood, BC
- Full-time
Added 17 hours ago
AJ
Research Assistant/Technician (Laborant:in) 60%
Athena's Journey
Montreal, QC · Urban agglomeration of Montreal, QC
- Full-time
Added 17 hours ago
S
Adjuster-Assembler (Honing-Finishing Operator) - Weekend Day Shift
Safran
Mirabel, QC
- Full-time
Weekend day shift: Friday 2:10 PM - 8:10 PM, Saturday 6:20 AM - 6:20 PM, Sunday 6:00 AM - 6:00 PM
Added 17 hours ago
A
Senior Accountant
Armco
Halifax, NS
- Full-time
Added 17 hours ago
S
Machining Production Manager
Safran
Mirabel, QC
- Full-time
Added 17 hours ago
PF
Grocery Clerk
Pete's Frootique
Halifax, NS
- Full-time
Added 17 hours ago
WC
Vice President Operations
West Country Energy Services
Red Deer, AB
- Full-time
Added 17 hours ago
FI
Project Coordinator
Fleetway Inc.
Dartmouth, NS
- Full-time
Added 17 hours ago
S
Industrial Maintenance Technician (Electromechanic) - Weekend Shift
Safran
Mirabel, QC
- Full-time
Added 17 hours ago
S
Metallurgy Operator - Night Shift
Safran
Mirabel, QC
- Full-time
Night shift, Monday to Friday from 12:10 AM to 6:40 AM
Added 17 hours ago
AA
Territory Manager, Facial Aesthetics (North Shore of Montreal)
Allergan Aesthetics, an AbbVie Company
Blainville, QC
- Full-time
Added 17 hours ago
PF
Front End & Bakery Manager
Pete's Frootique
Halifax, NS
- $42,000 to $48,000 CAD / year
- Full-time
Added 17 hours ago
VC
Administrative Support Agent, Class I (Specific Project) (DG)
Vanier College Continuing Education
Montreal, QC
- Full-time
Added 17 hours ago
FR
Talent Acquisition Specialist
FirstService Residential Canada
Vancouver, BC
- Full-time
Added 17 hours ago
TI
Executive Administrative Assistant (SLS)
Transportation Investment Corporation
Surrey, BC
- Full-time
Added 17 hours ago
M
Director - Engineering
Mace
Toronto, ON
- Full-time
Added 17 hours ago
AA
Territory Manager, Facial Aesthetics - Montreal West and Gatineau (12 month contract)
Allergan Aesthetics, an AbbVie Company
Pointe-Claire, QC
- Full-time
Added 17 hours ago
EC
Junior Sustainability Consultant
Edge Consultants
Vancouver, BC
- Full-time
Added 17 hours ago
H
Senior Social Science Specialist
Hatfield
Vancouver, BC
- Full-time
Added 17 hours ago
FA
Analyst, Environment, Safety, Health & Security (ESH&S)
FTAI Aviation
Montreal, QC
- Full-time
Added 17 hours ago
HT
Technical Trainer
Husky Technologies
Bolton, ON
- Full-time
Post-Secondary education or skilled trade certification required · Must have the right to work in the United States (citizenship or green card)
Added 17 hours ago
HT
Master Data Mgmt Analyst
Husky Technologies
Bolton, ON
- Full-time

Ink Foundation

Senior Software Engineer – AI Infrastructure

Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 5+ years of experience building and operating high-scale production systems
Posting language: English
Posted: Nov 9, 2026

Original job description

Building the Future of Open Finance

Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.

The team

Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.

The AI Infrastructure team builds and operates the production systems that power intelligent agents at scale. This team sits at the foundation of the agent platform, ensuring that model inference, orchestration, and execution layers are reliable, observable, and performant under real-world load.

Working closely with the Agent Systems team and broader infrastructure partners, this group owns the core primitives that enable agents to safely operate across internal systems. The environment is high-scale and high-stakes - systems serve millions of users and must meet strict reliability, latency, and correctness standards.

This is a deeply production-oriented team. Engineers here combine strong systems thinking with applied ML infrastructure experience, building in Rust and operating services where performance and failure modes matter.

The opportunity

Design and build the infrastructure layer powering AI agent systems in production
Develop high-performance Rust services that handle model inference, orchestration, and execution
Architect scalable systems capable of supporting millions of users and high request throughput
Build reliable ML infrastructure and MLOps patterns for model deployment, evaluation, and monitoring
Define guardrails, observability, and failure handling for agent-driven workflows
Optimize latency, throughput, and cost across inference and orchestration layers
Partner closely with the Agent Systems team to translate experimental prototypes into hardened production systems
Contribute to foundational infrastructure decisions in a high-scale, high-impact environment

What You Bring

5+ years of experience building and operating high-scale production systems
Strong proficiency in Rust and systems-level programming
Deep understanding of distributed systems, reliability engineering, and performance optimization
Experience operating services serving millions of users or high-throughput workloads
Familiarity with ML infrastructure, model serving, or MLOps in production environments
Experience designing observability, monitoring, and failure recovery systems
Strong collaboration skills working across infrastructure and applied engineering teams
High ownership mindset in high-stakes production environment

Nice to haves

Experience building infrastructure for agent-based or LLM-powered systems
Background in high-performance networking, async systems, or low-latency architectures
Experience with container orchestration and cloud-native infrastructure
Familiarity with evaluation frameworks and model performance monitoring at scale
Experience working in fast-moving 0→1 or platform-building teams

Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.

Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.

We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Our commitment

Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.

We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.

As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.

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More about this job

Responsibilities

Design and operate high-performance Rust infrastructure for production AI agents, including model inference, orchestration, and execution systems that can support millions of users. Build reliable ML deployment and monitoring patterns, establish guardrails and failure handling, optimize latency, throughput, and cost, and partner with the Agent Systems team to harden prototypes for production.

Requirements

Candidates need at least five years of experience building and operating high-scale production systems, strong Rust and systems-programming skills, and deep knowledge of distributed systems, reliability, and performance optimization. They should also have experience with production ML infrastructure or MLOps, observability, monitoring, and failure recovery, along with strong cross-team collaboration and ownership.

Skills

Rust
Systems-Level Programming
Distributed Systems
Reliability Engineering
Performance Optimization
High-Scale Production Systems
Machine Learning Infrastructure
Model Serving
MLOps
Observability
Monitoring
Failure Recovery
Agent-Based Systems
High-Performance Networking
Async Systems
Cloud-Native Infrastructure

Visa sponsorship

Not detected in the job text

Keywords

Rust
AI Infrastructure
AI Agents
Model Inference
Orchestration
Execution Systems
Distributed Systems
Reliability Engineering
Performance Optimization
Machine Learning Infrastructure
MLOps
Model Deployment
Model Evaluation
Model Monitoring
Observability
Failure Recovery
High-Throughput Workloads
High-Performance Networking
Async Systems
Low-Latency Architectures
Container Orchestration
Cloud-Native Infrastructure
Evaluation Frameworks
Production Systems
Open Finance
Blockchain Services

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Work requirements

Full-time jobs in Canada