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Added 6 days ago
Senior Data Platform Engineer
The Canada Life Assurance Company
London, ON · Toronto, ON
Are you a Senior Data Platform Engineer professional focused on platform administration, operations and support, have strong Leadership and Communication skills who is looking for a…
Added 7 days ago
NB
QRM CHIEF DEVELOPER
National Bank of Canada
Toronto, ON
- Full-time
…Application Security, Certified Quantitative Software Process Engineer, Containerization, DevOps, Equity Capital Markets, Initiative, Microsoft SQL Server, Powershell, Python, Solution…
Added 7 days ago
NB
LEAD PYTHON DEVELOPER – IT TREASURY PLATFORMS
National Bank of Canada
Montreal, QC
- Full-time
A career as a Lead Python Chief Principal Developer in the Treasury IT team at National Bank means acting as a hands-on technical leader for modern technology platforms. This job allows you…
Added 7 days ago
Q
Machine Learning Engineer, Frameworks & Performance (New Grad to Principal level)
Qualcomm
Markham, ON
- Full-time
Creation of performance-driven simulation components (using C++, Python) for analysis and design of high-performance HW/SW algorithms on future SoCs
Added 7 days ago
AI
GCP Infrastructure & Cloud SRE Engineer
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Proficiency in Linux, Python, Shell Scripting.
Added 7 days ago
T
Senior QA Engineer- ETL & API
Teqfocus
Toronto, ON
- Contract
We are seeking a hands-on Senior QA Engineer with strong functional and automated API testing capabilities, coupled with expertise in data validation, ETL processes, and Master Data…
Added 7 days ago
F
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
- Contract
- Remote
We’re hiring a Senior Machine Learning Engineer to architect, build, and deploy high-performance machine learning systems that power technology stack. You will work across the entire ML…
Added 7 days ago
TI
Application Release Engineer
Themesoft Inc.
Toronto, ON
- Contract
Added 7 days ago
TI
Application Release Engineer
Themesoft Inc.
Toronto, ON
- Contract
Added 7 days ago
JG
Application Release Engineer
J&M Group
Toronto, ON
- Contract
Added 7 days ago
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Application Release Engineer
Galent
Toronto, ON
- Contract
Added 7 days ago
AI
Senior AWS Data Engineer
Apptoza Inc.
Toronto, ON
- Full-time
We are seeking a Senior AWS Data Engineer with 12+ years of hands-on experience designing, developing, and supporting enterprise-scale data platforms on AWS. The ideal candidate will be a…
Added 7 days ago
SI
DevOps Engineer
Spait Infotech
Canada
- Full-time
Automate routine tasks using Python, Bash, or Shell scripting.
Added 7 days ago
V
Python Gen AI Developer
Virtusa
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Lead Software Engineer to join our team. In this role, you will lead the design and development of scalable, API-driven solutions leveraging…
Added 7 days ago
T
Quality Assurance Engineer
Trulioo
Remote, Canada
- $85,000 to $95,000 CAD / year
- Full-time
- Remote
Reporting to the Manager, Quality Assurance, the Quality Assurance Engineer will be responsible for delivering quality software for the Trulioo SaaS platform. This role involves designing…
Added 7 days ago
RC
Senior Data Engineer
RSM Canada
Calgary, AB
- Full-time
Added 7 days ago
CT
Lead/Senior Data Engineer
Celebal Technologies
Ottawa, ON
- Contract
Our client is seeking an experienced, hands-on Senior Data Engineer to help build and scale the enterprise data foundation supporting Analytics, AI, and self-service decision-making across…
Added 7 days ago
EN
Principal Wireless SW Engineer
Extreme Networks
Toronto, ON
- Full-time
The Principal Wireless Software Engineer is a senior technical leader responsible for resolving the most complex and business-critical customer issues escalated through the Global Technical…
Added 7 days ago
IG
Network Operations Engineer
Insight Global
Vancouver, BC
- $65 to $75 CAD / hour
- Contract
As a Platform Engineer, Network Operations you will design and build internal developer platforms and core infrastructure independently that enable engineering velocity and operational…
Added 7 days ago
B
Software Engineer - GPU Networking & Distributed Systems
Baseten
Montreal, QC
- $165,000 to $330,000 CAD / year
- Full-time
You are fluent in C++ or Python, with the ability to bridge the gap between high-level logic and hardware. You have a deep understanding of the memory hierarchy in modern NVIDIA…
Added 7 days ago
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Software Engineer - Infrastructure
Baseten
Montreal, QC
- $165,000 to $330,000 CAD / year
- Full-time
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…
Added 7 days ago
B
Software Engineer - Voice AI (Inference Runtime)
Baseten
Montreal, QC
- $165,000 to $330,000 CAD / year
- Full-time
Proficient coding abilities in one or more popular programming or scripting languages; Python proficiency is a plus.
Added 7 days ago
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Software Engineer - Dedicated Inference
Baseten
Montreal, QC
- $165,000 to $330,000 CAD / year
- Full-time
As an Engineer on the Dedicated Inference team, you'll shape the state-of-the-art developer experience for deploying and operating AI workloads in production. From the CLI and SDKs to APIs,…
Added 7 days ago
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Software Engineer - Model Performance Systems
Baseten
Montreal, QC
- $165,000 to $330,000 CAD / year
- Full-time
Technical Toolkit: Familiarity with Python, and an eagerness to master the NVIDIA software stack. C++ familiarity is good to have.
Added 7 days ago
B
Software Engineer - Infrastructure
Baseten
Toronto, ON
- $165,000 to $330,000 CAD / year
- Full-time
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…

Baseten

Software Engineer - Infrastructure

Toronto, ON, Canada

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

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Job details

Pay: $165,000 to $330,000 CAD / 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

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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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