Jobs in Repentigny, QC and nearby

Jobs within 25 km of Repentigny, QC, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

20,835 listings · 3,092 employers Counted Oct 29, 2026. How we count

About these jobs

Employers hiring include RI-MUHC | Research Institute of the MUHC | #rimuhc (833 listings), Loblaw Companies Limited (545 listings), Desjardins (451 listings).

Common roles: Project manager, Software developer, Sales representative.

1,454 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 / year	80,000.00	683
CAD / hour	30.00	643
USD / hour	60.00	53
USD / year	99,250.00	52

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: 0% remote, 37% hybrid, 63% 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

Jobs in Repentigny, QC and nearby

Within 25 km

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Added 1 day ago
C&
Avocat·e de litige / Litigation Lawyer
Clyde & Co
Montreal, QC
- Full-time
Added 1 day ago
D
Advisor, Management information
Desjardins
Montreal, QC
- Full-time
Added 1 day ago
D
Product Owner, Product management
Desjardins
Montreal, QC
- Full-time
Added 1 day ago
T
Technicien.ne Comptable / Accounting technician
Turbulent
Montreal, QC
- Full-time
Added 1 day ago
C
Global Program Lead – Bombardier/Challenger
CAE
Montreal, QC
- Full-time
Added 1 day ago
B
COORDINATOR, OPERATIONS SUPPORTS - ADVISORY SERVICES (Temporary, 6 months)
BDC
Montreal, QC
- Full-time
Added 1 day ago
Seasonal Retail Sales Associate, Galeries D'anjou
Bell
Montreal, QC
Added 1 day ago
SD
Spécialiste Beauté, rémunéré(e) à l’heure temps partiel Quarts de travail flexibles
Shoppers Drug Mart
Montreal, QC
- Part-time
Added 1 day ago
W
(CAN) Digital Fulfillment Team Lead
Walmart
Montreal, QC
- Full-time
Added 1 day ago
LC
Commis PCX temps partiel jour
Loblaw Companies Limited
Montreal, QC
- Part-time
Added 1 day ago
IF
Scrum Master
iA Financial Group
Montreal, QC
- Full-time
Added 1 day ago
Strategic Sales Development Representative
Coveo
Montreal, QC
Added 1 day ago
A
Partners in Performance - Performance Strategy Principal Director
Accenture
Montreal, QC
- Full-time
Added 1 day ago
Business Development Manager
Aylo Careers
Montreal, QC
Added 1 day ago
AI
Business System Analyst - D365
American Iron and Metal
Montreal, QC
- Full-time
Added 1 day ago
R|
Research Assistant
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Added 1 day ago
T|
Integration Platform Manager
TALTEK | TALENT in TECHNOLOGY
Montreal, QC
- Full-time
Added 1 day ago
GW
Legal Administrative Assistant - Intellectual Property
Gowling WLG
Montreal, QC
- Full-time
Added 1 day ago
AA
Agent Qualité - Structure / Quality Agent - Structure
Airbus Aircraft
Montreal, QC
- Full-time
Added 1 day ago
GW
Legal Administrative Assistant - Intellectual Property
Gowling WLG
Montreal, QC
- Full-time
Added 1 day ago
C
Infrastructure Engineer
CarbonForge
Montreal, QC
- Full-time
Added 1 day ago
R
Data Steward (BAC42D7)
Referment
Montreal, QC
- Full-time
Added 1 day ago
D-
Lead QA
DELAN - IT Talent Solutions
Montreal, QC
- Full-time
Added 1 day ago
C
Global Program Lead – Bombardier/Challenger
CAE
Montreal, QC
- Full-time
Added 1 day ago
A
Business Development Manager
Aylo
Montreal, QC
- Full-time

CarbonForge

Infrastructure Engineer

Greater Montreal Metropolitan Area, QC, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 26, 2026
Posting language: English
Posted: Oct 27, 2026

Original job description

Company Description CarbonForge is a Mila-backed startup focused on making efficient AI the default for teams serving open-weight models. The company delivers optimized inference containers that bundle the model, tuned for specific workloads, and an additional optimization layer to unlock more performance from GPUs. CarbonForge integrates into existing compile and deploy paths, searching for Pareto-optimal operating points that lower energy use per token while maintaining model quality. The platform outputs reproducible before/after benchmarks and deployment configurations that meet SLA targets with reduced power consumption through careful choices in compiler, kernels, precision, batching, scheduling, and hardware settings. CarbonForge aims to enable the next generation of AI inference to scale sustainably and company own their intelligence.

Role Description The Infrastructure Engineer role at CarbonForge is a full-time, on-site position based in the Greater Montreal Metropolitan Area. In this role, the engineer will design, implement, and maintain infrastructure to support high-performance AI inference workloads, including servers, networks, and related cloud resources. Day-to-day activities include monitoring system health, optimizing infrastructure for reliability and performance, and collaborating with engineering teams to integrate and scale CarbonForge’s optimized inference containers. The Infrastructure Engineer will also diagnose and resolve infrastructure issues, improve deployment pipelines, and help ensure secure, resilient systems. This position involves working closely with colleagues to continuously refine infrastructure architecture and support the company’s mission of efficient AI at scale.

Qualifications

Strong infrastructure skills, including experience with server management, virtualization or containerization, and scalable system design.
System administration skills covering operating systems (Linux preferred), configuration management, and performance monitoring.
Networking skills, including familiarity with routing, switching, load balancing, and network protocols.
Network security skills, including implementing security controls, monitoring for threats, and maintaining secure configurations.
Troubleshooting skills for diagnosing and resolving complex infrastructure, networking, and performance issues.
Experience with cloud platforms (such as AWS, GCP, or Azure) or hybrid cloud/on-prem environments is beneficial.
Familiarity with infrastructure-as-code tools (e.g., Terraform, Ansible) and CI/CD pipelines is an asset.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Ability to work collaboratively in a fast-paced startup environment, with clear communication and documentation practices.

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More about this job

Responsibilities

Design, implement, and maintain infrastructure for high-performance AI inference workloads, including servers, networks, and cloud resources. Monitor and optimize system reliability and performance, resolve infrastructure issues, improve deployment pipelines, and collaborate with engineering teams to scale optimized inference containers.

Requirements

Candidates should have infrastructure and system administration experience, including server management, Linux or other operating systems, virtualization or containerization, scalable system design, networking, and network security. A bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience, is required; cloud platforms, infrastructure-as-code tools, and CI/CD experience are beneficial.

Skills

Infrastructure Design
Server Management
Virtualization
Containerization
System Administration
Linux
Configuration Management
Performance Monitoring
Networking
Routing
Switching
Load Balancing
Network Security
Troubleshooting
Cloud Platforms
Infrastructure As Code

Visa sponsorship

Not detected in the job text

Keywords

AI Inference
Inference Containers
Servers
Networking
Cloud Resources
Linux
Virtualization
Containerization
Scalable Systems
Configuration Management
Performance Monitoring
Routing
Switching
Load Balancing
Network Protocols
Network Security
AWS
GCP
Azure
Hybrid Cloud
On-Premises Infrastructure
Terraform
Ansible
CI/CD Pipelines
Deployment Pipelines
Infrastructure As Code
System Reliability
Performance Optimization
AI Workloads
Troubleshooting

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