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Added 1 month ago
UR
AI Engineer
Urban Ridge Supplies
Kitchener, ON
- Full-time
…solution reliability and performance. This role works closely with solution architects and platform teams to ensure AI solutions are production-ready, aligned with GEI standards, and…
Added 1 month ago
UR
AI/ML Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
…software engineering, machine learning, and cloud expertise with hands-on experience delivering production-grade AI solutions. This role will partner closely with business stakeholders,…
Added 1 month ago
UR
Senior AI Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
…team, and mentor junior engineers, while partnering closely with business, engineering, and governance stakeholders to bring production-grade AI solutions to…
Added 1 month ago
UR
AI Inference Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
…general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML…
Added 1 month ago
UR
Senior software engineer: Applied AI
Urban Ridge Supplies
Toronto, ON
- Full-time
Morningstar unites problem solvers with a clear goal: helping investors achieve their financial objectives. As a leading investment research and data company, we stand out by how we apply…
Added 1 month ago
UR
LLM Engineer
Urban Ridge Supplies
Markham, ON
- Full-time
5+ years of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++)
Added 1 month ago
UR
Applied AI Engineer
Urban Ridge Supplies
Mississauga, ON
- Full-time
Strong proficiency in Python and experience building APIs/services (e.g., REST/gRPC) and integrating with enterprise systems.
Added 1 month ago
UR
Senior Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
We are seeking a Senior Forward Deployed Engineer to join our ProServe team and work directly with strategic customers to turn business problems into production AI and data systems. This is…
Added 1 month ago
UR
Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Solid backend development skills, with strong programming experience in Python, Java, or similar
Added 1 month ago
UR
Founding Sales Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
We're hiring our first Sales Engineer to pair directly with our founding Account Executive in North America. You are the technical half of a two-person deal team: the AE owns the commercial…
Added 1 month ago
UR
Founding Sales Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
We're hiring our first Sales Engineer to pair directly with our founding Account Executive in North America. You are the technical half of a two-person deal team: the AE owns the commercial…
Added 1 month ago
UR
Lead Software Engineer, AI & Emerging Tech
Urban Ridge Supplies
Toronto, ON
- Full-time
You’ll partner with cross-functional teams like Information Security, Engineering, Risk, Legal and Compliance teams to define and agree on AI platform controls, implement those controls…
Added 1 month ago
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Software Engineer - Testing Frameworks
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
Strong proficiency in Go and/or Python, with hands-on experience building test tooling and libraries used by other engineers.
Added 1 month ago
KD
Senior Data Engineer – Ingénieur des données
KPI Digital Solutions
Montreal, QC
- Other
Has the title implied, the candidate is a data engineer meaning he is a full fledge experienced developer very solid in both Python and Spark
Added 1 month ago
KD
AI Engineer/Ingénieur(e) en intelligence artificielle
KPI Digital Solutions
Montreal, QC
- Other
At KPI, you’ll have the chance to build a career as unique as you are, with the support, inclusive culture, and technology to become the best version of you. And we’re counting on your…
Added 1 month ago
R
AI Engineer- EN
RBC
Montreal, QC
- Full-time
Advanced proficiency in Python and hands-on experience with applied AI and Generative AI frameworks and architectures.
Added 1 month ago
GV
Senior AI/ML Applications Architect
GE Vernova
Markham, ON
- Full-time
…role combines deep technical expertise in AI/ML architecture with leadership responsibilities, requiring someone who can drive innovation from concept to production while managing…
Added 1 month ago
Staff UX Researcher
Okta
Toronto, ON
Staff-Level Expertise: 7+ years of hands-on UX research experience in complex B2B, developer, or enterprise software environments, with a track record of driving product impact at a Senior…
Added 1 month ago
O
Staff UX Researcher
Okta
Toronto, ON
- $140,000 to $193,000 CAD / year
- Full-time
Staff-Level Expertise: 7+ years of hands-on UX research experience in complex B2B, developer, or enterprise software environments, with a track record of driving product impact at a Senior…
Added 1 month ago
RB
AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Advanced proficiency in Python and hands-on experience with applied AI and Generative AI frameworks and architectures.
Added 1 month ago
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Staff Software Engineer, Merchant Shopping Growth and Insights AI/ML
Google
Waterloo, ON
- Internship
Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.).
Added 1 month ago
R
AI Engineer
RBC
Toronto, ON · Montreal, QC
- Full-time
Advanced proficiency in Python and hands-on experience with applied AI and Generative AI frameworks and architectures.
Added 1 month ago
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Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
- Full-time
- Remote
Strong programming skills in Python (must-have) and proficiency with SQL; experience with PySpark is a significant plus.
Added 1 month ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
- Full-time
- Remote
Strong programming skills in Python (must-have) and proficiency with SQL; experience with PySpark is a significant plus.
Added 1 month ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
- Full-time
- Remote
Strong programming skills in Python (must-have) and proficiency with SQL; experience with PySpark is a significant plus.

Baseten

Software Engineer - Testing Frameworks

Montreal, QC, Canada

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

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Job details

Pay: $165,000 to $330,000 USD / year
Job type: Full-time
Posting language: English
Posted: Aug 11, 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

Baseten is seeking talented and experienced Software Engineers to join our Platform team within the Infrastructure organization. As a senior member of Baseten's Platform Team, you will own the systems that let every engineer at Baseten prove their code works before it reaches production. Our product runs mission-critical AI inference for customers who measure downtime in dollars per second, which means our internal bar for correctness, performance, and failure tolerance has to be exceptional.

Your focus is the full testing stack: fast and reliable unit test tooling, integration harnesses that spin up realistic environments on demand, load and performance testing for GPU-backed inference workloads, and resilience testing that deliberately breaks things so our customers never have to find out what happens when a node dies mid-request. This is a builder role with org-wide leverage. You won't be writing tests for other teams - you'll be building the frameworks, harnesses, and feedback loops that make writing good tests the path of least resistance, and you'll set the standards for what "well-tested" means at Baseten.

Responsibilities

Own Baseten's testing strategy end to end - define the standards, the tiers, and the tooling that engineering teams build against.
Build and maintain unit, integration, load and performance testing frameworks
Design end to end test infrastructure that provisions realistic dependencies on demand - ephemeral Kubernetes namespaces, containerized service dependencies, etc.
Build resilience and chaos testing capabilities: fault injection, network partition and latency simulation, pod and node failure scenarios, dependency degradation, and automated verification that our systems degrade gracefully and recover.
Attack test suite reliability head-on - flake detection and quarantine, test impact analysis and selective execution, parallelization, and aggressive reduction of end-to-end CI wall time.
Build observability into the testing layer itself: coverage reporting, test health dashboards, failure triage tooling, and clear signals about which areas of the codebase are under-tested.
Create project templates and shared libraries so new services start with a complete testing setup on day one.
Partner directly with product and infrastructure teams - embed where needed, understand their hardest testing problems, and turn one-off solutions into platform capabilities.
Mentor engineers across the org on testing practice and raise the collective bar through code review, documentation, and internal advocacy.

Requirements

Strong proficiency in Go and/or Python, with hands-on experience building test tooling and libraries used by other engineers.
Deep experience with testing frameworks and their internals - pytest, Go's testing package, testify, testcontainers, or equivalents - including the ability to extend them, not just use them.
Experience designing integration test infrastructure for distributed systems, including ephemeral environment provisioning and dependency management.
Practical experience with load and performance testing tools (k6, Locust, Vegeta, JMeter, Gatling, or similar) and the judgment to interpret results and drive action from them.
Solid Kubernetes and Docker fundamentals - you can build test infrastructure that runs on and tests against real cluster environments.
Advanced understanding of CI/CD, including how to keep large test suites fast, deterministic, and trustworthy at scale.
A track record of measurably improving testing culture on an engineering team - you have opinions on what to test, what not to test, and where the ROI actually is.
Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges

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

Own Baseten’s testing strategy and build shared frameworks for unit, integration, load, performance, and resilience testing, including infrastructure that provisions realistic environments on demand. Improve test reliability and CI speed, provide testing observability and reusable service templates, and partner with and mentor engineering teams to raise testing standards.

Requirements

Requires strong Go and/or Python skills and hands-on experience building testing tools and libraries, extending testing frameworks, and designing integration infrastructure for distributed systems. Candidates should also have practical load and performance testing experience, Kubernetes and Docker fundamentals, advanced CI/CD knowledge, and a record of improving testing practices.

Skills

Go
Python
Testing Frameworks
Unit Testing
Integration Testing
Load Testing
Performance Testing
Chaos Testing
Distributed Systems
Kubernetes
Docker
CI/CD
Test Infrastructure
Fault Injection
Test Suite Reliability
Observability

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

Go
Python
Pytest
Go Testing Package
Testify
Testcontainers
Kubernetes
Docker
CI/CD
Distributed Systems
Unit Testing
Integration Testing
Load Testing
Performance Testing
Chaos Testing
Fault Injection
Network Partition Simulation
Latency Simulation
Ephemeral Environments
Containerized Dependencies
Test Impact Analysis
Test Parallelization
Flake Detection
Coverage Reporting
Observability
GPU-Backed Inference
k6
Locust
Vegeta
JMeter

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