Jobs in Mississauga, ON and nearby

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

79,543 listings · 10,159 employers Counted Oct 30, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (1,291 listings), Shoppers Drug Mart (1,252 listings), S M Software Solutions Inc (962 listings).

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

13,149 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	85,000.00	6,949
CAD / hour	30.00	5,181
USD / year	115,000.00	405
USD / hour	30.00	255
CAD / month	6,000.00	23
CAD / week	2,914.00	18

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, 29% hybrid, 71% 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 Mississauga, ON and nearby

Within 25 km

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Added 5 hours ago
S
Orthopaedic Technologist - Fracture Clinic - Casual 2026-17442 (2026-17442)
Sunnybrook
Toronto, ON
- Other
Added 5 hours ago
S
Orthopaedic Technologist - Casual - Fracture Clinic - 2026-19158 (2026-19158)
Sunnybrook
Toronto, ON
- Other
Added 5 hours ago
RC
Renewable Energy Engineer (Entry-Level)
Renewable Careers
Toronto, ON
- $80,000 to $110,000 CAD / year
- Full-time
Added 5 hours ago
TS
Licensed Mechanic
The Seaboard Transport Group
Toronto, ON
- Full-time
Added 5 hours ago
DR
Junior Sales Representative
Dawn Recruiting Agency
Mississauga, ON
- $45,000 to $75,000 USD / year
- Full-time
Added 5 hours ago
KM
Technology Field Sales Representative (GTA) - Konica Minolta Business Solutions
Konica Minolta Business Solutions U.S.A., Inc.
Mississauga, ON
- $46,850 to $58,562 CAD / year
- Full-time
Added 5 hours ago
FR
Sustainability Analyst (TOR)
Fitch Ratings
Toronto, ON
- Full-time
Added 5 hours ago
C
Digital Marketing Content Editor
Cella
Toronto, ON
- $47 to $53 CAD / hour
- Contract
Added 5 hours ago
S
Registered Practical Nurse - Hemodialysis - Regular Full-Time 2026-19138 (2026-19138)
Sunnybrook
Toronto, ON
- Full-time
Added 5 hours ago
Digital Student Service Administrator
George Brown Polytechnic
Toronto, ON
Added 5 hours ago
BC
Director, Real Estate Development (Life Sciences / Pharma)
Broccolini Construction Inc.
Toronto, ON
- Full-time
Added 5 hours ago
JT
Workforce Specialist, Job ID# 7080
JVS Toronto
Toronto, ON
- Full-time
Added 5 hours ago
PT
Parts Counter Sales
Premier Truck Group
Mississauga, ON
- Full-time
Added 5 hours ago
N
Customer Success Technical Coordinator - Bilingual (FR/EN)
Numeris
Toronto, ON
- Full-time
Added 5 hours ago
CG
Manager, Product Integrity & Compliance
Canada Goose
Toronto, ON
- Full-time
Added 5 hours ago
C
Director, FX Payments & Banking Strategic Projects
Corpay
Toronto, ON
- Full-time
Added 5 hours ago
A
FPGA Development Tools - Intern
Altera
Toronto, ON
- Full-time
Added 5 hours ago
R
Buyer Care Specialist II
RBGlobal
Mississauga, ON
- Full-time
Added 5 hours ago
PhD Machine Learning Engineer, Intern
Stripe
Toronto, ON
Added 5 hours ago
DH
DZ Loader/Unloader
Daniels Health
Brampton, ON
- Full-time
Added 5 hours ago
HÀ
CNC Milling Operator
HR à la carte
Mississauga, ON
- Full-time
Added 5 hours ago
Master's Machine Learning Engineer, Intern
Stripe
Toronto, ON
Added 5 hours ago
C
Java Developer - Rates Technology
Citi
Mississauga, ON · Toronto, ON
- Full-time
Added 5 hours ago
Field and Event Marketing Manager
Leo Berwick
Toronto, ON
Added 5 hours ago
C
Innovation & Marketing Content Co-op (Winter 2027)
CIBC
Toronto, ON
- Full-time

Baseten

Software Engineer - Infrastructure

Toronto, ON, Canada

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

Apply About employer

Applications open in a new tab.

Job details

Pay: $165,000 to $330,000 USD / year
Job type: Full-time
Apply by: Nov 28, 2026
Posting language: English
Posted: Oct 30, 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

As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core infrastructure, enabling developers to deploy, scale, and monitor ML models with high performance.

EXAMPLE INITIATIVES

You'll get to work on these types of projects as part of our Infrastructure team:

Multi-cloud capacity management
Inference on B200 GPUs
Multi-node inference
Fractional H100 GPUs for efficient model serving

Responsibilities

Develop infrastructure components for our ML inference platform using Python and Go
Implement and maintain Kubernetes deployments for model serving
Contribute to our inference orchestration layer for model deployments
Build and enhance monitoring systems for model performance metrics
Implement efficient resource management solutions for ML workloads
Support infrastructure automation to improve ML deployment workflows
Work closely with team members to implement technical solutions
Help balance performance optimization with system reliability
Participate in technical discussions around infrastructure improvements
Learn and apply infrastructure best practices

Requirements

Bachelor's degree or higher in Computer Science or related field
Proficient coding abilities in one or more popular programming or scripting languages; Go proficiency is a plus
Working knowledge of Kubernetes and containerization
Basic understanding of machine learning concepts and model serving
Familiarity with distributed systems concepts
Experience with basic monitoring and logging tools
Interest in ML/AI infrastructure and willingness to learn
Strong collaboration and communication skills

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

Apply About employer

More about this job

Responsibilities

Develop and maintain infrastructure for the ML inference platform, including Kubernetes-based model serving, inference orchestration, monitoring, and resource management. Improve deployment automation and balance performance with reliability while collaborating on infrastructure solutions.

Requirements

Requires a bachelor's degree or higher in computer science or a related field, coding proficiency in a popular programming or scripting language, and working knowledge of Kubernetes and containerization. Candidates should understand basic machine learning and model serving, distributed systems, and monitoring and logging, and be interested in ML infrastructure with strong collaboration and communication skills.

Skills

Python
Go
Kubernetes
Containerization
Machine Learning
Model Serving
Distributed Systems
Monitoring
Logging
Infrastructure Automation
Resource Management
Performance Optimization
System Reliability
Collaboration
Communication

Benefits

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)

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning Inference
AI Infrastructure
Python
Go
Kubernetes
Containerization
Model Serving
Inference Orchestration
Distributed Systems
Multi-Cloud Capacity Management
B200 GPUs
H100 GPUs
Multi-Node Inference
Fractional GPUs
Monitoring
Logging
Model Performance Metrics
Resource Management
Infrastructure Automation
ML Deployment
Performance Optimization
System Reliability
Production AI Applications
Developer Tooling

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