Jobs in Saint-Constant, QC and nearby (37,793 jobs)

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

37,793 listings · 4,980 employers Counted Nov 14, 2026. How we count

About these jobs

Employers hiring include RI-MUHC | Research Institute of the MUHC | #rimuhc (1,575 listings), Loblaw Companies Limited (864 listings), Desjardins (708 listings).

Common roles: Project manager, Software developer, Retail sales associate.

3,242 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	28.45	1,852
CAD / year	80,000.00	1,345

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, 34% hybrid, 66% 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 Saint-Constant, QC and nearby

Within 25 km

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Added 8 mins ago
A
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- $40 to $50 CAD / hour
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B
Software Engineer, Cloud Platform
Baseten
Montreal, QC
- $165,000 to $330,000 CAD / year
- Full-time
Added 24 mins ago
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Baseten

Software Engineer, Cloud Platform

Montreal, QC, Canada

$165,000 to $330,000 CAD / year · Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Pay: $165,000 to $330,000 CAD / year
Job type: Full-time
Apply by: Dec 13, 2026
Posting language: English
Posted: Nov 13, 2026

Original job description

About Baseten

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.

THE ROLE

Join Cloud Platform Engineering to own the Kubernetes fleet that runs our production AI workloads. You’ll turn manual cluster operations into reliable, repeatable systems - from bringing new cloud providers online to rolling out configuration and upgrades safely across the entire fleet.

This is a hands-on software engineering role with ownership from design through production. You’ll build APIs, controllers, and automation that make infrastructure easier to operate, reduce configuration drift, and bring GPU capacity online seamlessly to power the AI inference business growth.

EXAMPLE INITIATIVES

Unify Kubernetes platform configuration under GitOps, replacing duplicated cluster manifests with shared configuration and explicit provider overrides.
Automate cluster onboarding and provisioning with reusable infrastructure templates, readiness checks, and recoverable workflows.
Build controllers and rollout mechanisms for fleet upgrades and workload-aware maintenance.

Responsibilities

Design, build, and operate services, APIs, and Kubernetes controllers that automate cluster lifecycle management.
Develop reusable Terraform modules and GitOps configuration that work across cloud and GPU infrastructure providers.
Make infrastructure changes safe through validation, staged rollouts, clear ownership boundaries, and tested recovery paths.
Build observability into automation so engineers can understand progress, diagnose failures, and retry operations safely.
Partner with infrastructure and workload teams to define platform interfaces, resolve operational pain points, and take projects from design through adoption.

Requirements

Experience building and owning production infrastructure software or distributed systems.
Strong programming skills in Go or another systems or backend language, with the ability to contribute to a Go codebase.
Deep experience with Kubernetes infrastructure, including developing controllers or operators and understanding reconciliation, custom resources, and failure handling.
Practical experience with infrastructure as code and GitOps tools such as Terraform and Flux or Argo CD.
Strong Linux, networking, and debugging fundamentals, with sound judgment about reliability and the impact of production changes.
Ability to turn ambiguous operational problems into maintainable software and communicate design tradeoffs clearly.

NICE TO HAVE

Experience managing Kubernetes fleets across multiple clouds or GPU infrastructure providers.
Contributions to Kubernetes or infrastructure open source projects, or experience with workflow orchestration and progressive delivery.

Benefits

Competitive compensation, including meaningful equity
(U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
(U.S. only) Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Compensation Range: $165K - $330K

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More about this job

Responsibilities

Build and operate services, APIs, controllers, and automation to manage the Kubernetes fleet lifecycle, including cluster provisioning, configuration, upgrades, and workload-aware maintenance. Develop reusable Terraform and GitOps systems, improve observability and safe recovery, and partner with infrastructure and workload teams to take platform projects from design through adoption.

Requirements

Candidates need experience owning production infrastructure software or distributed systems, strong programming skills in Go or a comparable backend or systems language, and deep Kubernetes infrastructure expertise, including controllers, operators, reconciliation, and failure handling. They should also have practical Terraform and GitOps experience, strong Linux and networking fundamentals, sound production reliability judgment, and the ability to communicate design tradeoffs.

Skills

Go
Kubernetes
Distributed Systems
Terraform
GitOps
Flux
Argo CD
Linux
Networking
Infrastructure Automation
Cloud Infrastructure
GPU Infrastructure
Observability
Progressive Delivery
Workflow Orchestration

Benefits

Competitive Compensation
Equity
Medical Insurance
Dental Insurance
Vision Insurance
Flexible Paid Time Off
Company-Wide Winter Break
Paid Parental Leave
Fertility and Family-Building Stipend
401(k)
Learning and Networking Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Kubernetes
Go
Distributed Systems
Infrastructure Software
Cloud Platform
Cluster Lifecycle Management
Kubernetes Controllers
Kubernetes Operators
Custom Resources
Reconciliation
Terraform
GitOps
Flux
Argo CD
Linux
Networking
GPU Infrastructure
Infrastructure as Code
Cluster Provisioning
Fleet Upgrades
Workload-Aware Maintenance
Observability
Progressive Delivery
Workflow Orchestration
AI Inference
Production Reliability
Configuration Management

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Jobs in Saint-Constant, QC and nearby