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Added 14 days ago
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Senior AI Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Proficiency in Python and ML/AI libraries (e.g., Scikit-learn, PyTorch, TensorFlow).
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AI Deployment & Solutions Lead
Urban Ridge Supplies
Toronto, ON
- Full-time
Strong programming skills in Python, Java/JavaScript, C++ or equivalent.
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AI Inference Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
…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…
Added 14 days ago
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AI Solutions Architect (Senior and Principal)
Urban Ridge Supplies
Toronto, ON
- Full-time
Professional software engineering experience using Python or TypeScript, with a strong focus on clean architecture, testing, maintainability, and production quality
Added 14 days ago
UR
Senior software engineer: Applied AI
Urban Ridge Supplies
Toronto, ON
- Full-time
Strong proficiency in Python across eval tooling, service-level code, and API development (FastAPI or similar), plus working proficiency in TypeScript/Node.js for application integrations.
Added 14 days ago
UR
Forward Deployed Engineer, Sovereign AI
Urban Ridge Supplies
Toronto, ON
- Full-time
You have shipped (lots of) Python in production
Added 14 days ago
UR
Principal AI Engineer
Urban Ridge Supplies
ON · York
- Full-time
Strong proficiency in Python (FastAPI, PyTest) paired with experience in enterprise ecosystems like C#/.NET Core, Node.js/TypeScript, or C++.
Added 14 days ago
UR
FDE Senior Engineer, AI & Capital Markets
Urban Ridge Supplies
Mississauga, ON
- Full-time
Python and SQL are essential. Experience with q and kdb+ is highly desirable but not required. The appetite to become genuinely good at it matters more.
Added 14 days ago
UR
AI Solutions Engineer, Agentic Automation
Urban Ridge Supplies
Toronto, ON
- Full-time
…integrations, data management, and scripting in a language such as…
Added 14 days ago
UR
Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Strong software engineering background with experience building production applications (Python preferred).
Added 14 days ago
UR
Sr. Specialist, AI Solutions Developer
Urban Ridge Supplies
Hamilton, ON · Waterdown
- Full-time
The AI Solutions Developer is responsible for designing, developing, integrating, and deploying AI-enabled solutions that improve business processes, productivity, decision-making, and…
Added 14 days ago
UR
AI Builder / Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Added 14 days 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 14 days 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 14 days ago
UR
Principal Quality Architect
Urban Ridge Supplies
Toronto, ON
- Full-time
Polyglot Development: Write and test production-grade code across multiple languages and paradigms (e.g., TypeScript, Python, Go, .NET, Java) based on specific problem domains. Ramp into…
Added 14 days ago
UR
Senior Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Proficiency in at least one production programming language such as Python, Go, TypeScript, Java, or Scala.
Added 14 days ago
UR
Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
A strong generalist engineer. You can ship full-stack TypeScript or Python on the backend, React on the frontend, SQL fluently, comfortable in someone else’s codebase within a day. You do…
Added 14 days ago
UR
Software Engineer, Applied AI
Urban Ridge Supplies
Toronto, ON
- Full-time
Senior engineering ability: Write clean, documented code (Python, Go, JavaScript, etc.) and use agentic coding tools (Claude Code, Codex etc) as a core part of your development workflow -…
Added 14 days 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 14 days ago
UR
Founding Sales Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Represent Featherless technically at conferences, meetups, and developer events
Added 14 days ago
UR
Founding Sales Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Represent Featherless technically at conferences, meetups, and developer events
Added 14 days ago
UR
Senior Software Engineer (Conductor)
Urban Ridge Supplies
Toronto, ON
- Full-time
…That means working across the full stack: backend services in Python and TypeScript, integrations against real healthcare provider environments (HL7 v2, FHIR, DICOM, RIS/PACS, EMR webhooks,…
Added 14 days ago
UR
Lead Software Engineer, AI & Emerging Tech
Urban Ridge Supplies
Toronto, ON
- Full-time
…passionate about coding, platform enablement with deep expertise in python, emerging tech, cloud infrastructure, and AI/ML - and thrives in a fast-paced, exploratory…
Added 14 days ago
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Software Engineer - Testing Frameworks
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
…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…
Added 14 days ago
AA
Développeur Responsable technique Skywise / Skywise tech lead developer
Airbus Aircraft
Montreal, QC
- Full-time
Vous avez une maîtrise démontrée des langages Python, JavaScript et SQL (une expérience avec PySpark est un 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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