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Added 25 days ago
KC
Forward Deployed AI Engineer
Keyrus Canada
Toronto, ON · Montreal, QC
- Full-time
We are currently building our talent pipeline for upcoming Forward Deployed AI Engineer opportunities in Canada. While we may not have an immediate opening today, we are actively connecting…
Added 25 days ago
P
Senior Software Engineer, Test
Providius
Hamilton, ON
- $100,000 to $130,000 CAD / year
- Full-time
Providius is looking for an experienced Senior Software Engineer, Test to help us build stronger, faster, and more reliable ways of validating complex software systems.
Added 25 days ago
IL
Senior Embedded Systems Electronics engineer
Innovobot Labs
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Innovobot - Senior Embedded Systems Electronics engineer | Ingénieur senior en systèmes embarqués et électronique
Added 25 days ago
Machine Learning Engineer
Wawanesa Insurance
Toronto, ON · AB · Winnipeg, MB · Wawanesa, MB · Moncton, NB · Thunder Bay, ON · Ottawa, ON · Kitchener, ON · Montreal, QC · Vancouver, BC · Lloydminster, AB · Dartmouth, NS · Calgary, AB · Lethbridge, AB · Edmonton, AB (Hybrid), AB · North York - Toronto, ON (Hybr, ON
The Machine Learning Engineer is responsible for solving business problems and discovering business insights using structured and unstructured data, statistics, visualization and advanced…
Added 25 days ago
R
Lead Senior Software Engineer
RBC
Toronto, ON
- Full-time
…vendor partners. We are looking for a lead senior software engineer, a seasoned technologist to build cutting-edge, products and solutions in cloud environments. You'll join a very dynamic,…
Added 25 days ago
SE
Senior AI Software Enginer
Stikeman Elliott LLP
Toronto, ON
- Full-time
Expert proficiency in Python, including asynchronous development, testing, and modern web frameworks such as FastAPI; working knowledge of TypeScript, Node.js, and front-end development.
Added 25 days ago
TC
AI Platform Engineer
Tata Consultancy Services
Halifax, NS
- Full-time
Strong software development background (Python and/or TypeScript/JavaScript) with the ability to build and operate production-grade services, not just prototypes.
Added 25 days ago
T
Full Stack Engineer
TekRek
Vancouver, BC
- $160,000 to $190,000 CAD / year
- Full-time
This is a senior, hands-on Full Stack Engineer role with real technical leadership attached. You’ll lead a team building the customer-facing products that bring in revenue, and you’ll own…
Added 25 days ago
S
Senior Software Engineer, Foundational Storage
Sentry
Remote, Canada
- $200,000 to $420,000 CAD / year
- Full-time
- Remote
As a Senior Software Engineer on the team, you’ll work on both the systems and the code that makes them easy to use. You’ll tackle questions of data consistency, availability, performance,…
Added 25 days ago
TC
Data Engineer
Tata Consultancy Services
Mississauga, ON
- $100,000 to $120,000 CAD / year
- Full-time
Added 25 days ago
MM
Technical Lead Data
Marsh McLennan
Toronto, ON
- Full-time
…who can whiteboard a data model in the morning, pair with an engineer on a tricky pipeline in the afternoon, and present a delivery plan to a business stakeholder before end of day. You…
Added 25 days ago
B
QA Engineer
Brainyyack
Canada
- Full-time
Brainyyack is looking for a QA Engineer to help deliver reliable, intuitive software for our clients.
Added 25 days ago
C
Software Engineer, Vice President
Citi
Mississauga, ON
- Full-time
Learn about Python, its ecosystem, community and best practices
Added 25 days ago
Q
Firmware Engineer, Edge AI Silicon Validation (Embedded C)
Qualcomm
Markham, ON
- Full-time
An ideal candidate is an embedded Firmware Engineer interested in helping to validate and develop world-class low power audio and AI solutions. Replacement Position
Added 25 days ago
W
Computer Science Co-op
Waterworth
Victoria, BC
- Full-time
Work closely with our Lead Engineer and ML/AI team on projects leveraging classical ML techniques as well as NLP, LLMs, and retrieval augmented generation (RAG).
Added 25 days ago
C
Senior Engineer (Python / AWS / On-Premise)
Caddie
Toronto, ON
- Full-time
The engine at scale: containerised Python workers (FastAPI, NumPy, SciPy) that make the same decision on every machine, byte for byte
Added 25 days ago
TC
Data Engineer
TMC Canada
Montreal, QC
- Full-time
TMC Canada is looking for an experienced Data Engineer to join our team in Montréal and work on high-impact infrastructure projects for a tier 1 global financial institution.
Added 25 days ago
3T
Site Reliability Engineer
360 Technology
Toronto, ON
- Full-time
Added 25 days ago
Staff Software Engineer, Notification Hub & Experience
DoorDash Canada
Toronto, ON
We are looking for a Staff Backend Engineer to join our team. As a Staff Engineer, you are a technical leader and trusted advisor - you set the engineering excellence bar, own ambiguous…
Added 25 days ago
CO
Staff Software Engineer
Capital One
Toronto, ON
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Staff Software Engineer
Added 25 days ago
T
Senior Machine Learning Engineer
TD
Toronto, ON
- Full-time
We are seeking a Senior AI/ML Engineer to drive the strategic implementation of generative AI and machine learning capabilities across TD's enterprise platforms. This individual contributor…
Added 25 days ago
T
Senior Machine Learning Engineer
TD
Toronto, ON
- Full-time
We are seeking a Senior AI/ML Engineer to drive the strategic implementation of generative AI and machine learning capabilities across TD's enterprise platforms. This individual contributor…
Added 25 days ago
R
Senior Embedded Software Engineer
Ranovus
Ottawa, ON
- Full-time
We are seeking a Senior Embedded Software Engineer to work as part of our R&D software-firmware design team.
Added 25 days ago
P
Senior Software Engineer, Test
Providius
Hamilton, ON
- Full-time
Providius is looking for an experienced Senior Software Engineer, Test to help us build stronger, faster, and more reliable ways of validating complex software systems.
Added 25 days ago
B
Backend Engineer
Bluehost
Canada
- Full-time
…of small-business websites. You'll own backend features in Python, on Linux, backed by MySQL, with real say in how we modernize this platform, and real input on technical decisions. Perl…

Providius

Senior Software Engineer, Test

Hamilton, ON, Canada

$100,000 - $130,000 per year · Full-time

Apply About employer

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Job details

Pay: $100,000 - $130,000 per year
Job type: Full-time
Experience: 5+ years of hands-on experience in software quality engineering, test automation, SDET, software engineering, or a closely related role
Posting language: English
Posted: Oct 13, 2026

Original job description

Providius is looking for an experienced Senior Software Engineer, Test to help us build stronger, faster, and more reliable ways of validating complex software systems.

This is a hands-on engineering role for someone who enjoys writing code, building automation, debugging difficult problems, and improving how software gets tested across an engineering organization.

Position Overview

This is a hands-on, individual-contributor role. You will spend most of your week writing test code, building test infrastructure, and working directly with engineers, not writing test plans for others to execute.

We are looking for someone to take our test automation and quality engineering practices to the next level. You will build the automated test suites and tooling underneath them, raise the standard for how the engineering team tests its own work, and help ensure our quality practices keep pace with how quickly modern software is now developed.

Software gets written and changed faster than it did even a few years ago. AI-assisted development accelerates that further, but it also changes where defects come from and what traditional reviews and test suites may miss. We want someone who sees that as an engineering problem: building the coverage, tooling, feedback loops, and development practices that allow the team to move quickly without sacrificing reliability.

Our products also increasingly include AI and machine-learning functionality, including LLM-based assistants and integrations with AI clients. These systems introduce a different class of testing problem. Outputs may vary between runs, model or prompt changes can alter behaviour without traditional code changes, and quality may need to be measured across a set of results rather than with a simple pass or fail.

You do not need to be an ML researcher, but you should have experience testing software with AI, ML, LLM, or other non-deterministic components and understand how to build credible evidence that these systems are ready to ship.

You will have meaningful autonomy and responsibility. You will work with engineering leadership to identify our biggest quality risks, establish practical approaches to addressing them, and implement the automation and tooling needed to make those approaches part of everyday development.

Duties and Responsibilities

Design, write, and maintain automated test suites across unit, integration, API, end-to-end, and regression testing
Build and improve test infrastructure including fixtures, mocks, reusable test libraries, test data management, and simulation environments
Build and maintain CI/CD test gates, smoke tests, regression suites, coverage reporting, and automated release-readiness checks
Keep automated testing fast, reliable, and useful enough that developers trust it and use it regularly
Build API and contract testing across services and integration boundaries
Establish performance, load, stress, and soak testing for high-throughput and real-time systems
Investigate and debug difficult failures across application, service, database, infrastructure, and deployment boundaries
Work with engineers to determine appropriate test coverage and validation approaches for new features and systems
Review test code with the same engineering standards applied to production code
Help developers improve the quality and testability of their own code rather than making testing the responsibility of a separate QA silo
Build reusable patterns and tooling that make it easier for engineers to write good tests
Establish practical testing standards and help drive their adoption across engineering
Identify gaps in existing test coverage and determine where deeper or different forms of validation are required
Help adapt our testing practices to the increased pace and changing failure modes introduced by AI-assisted software development
Use modern development and AI tooling to improve the speed and effectiveness of test development while maintaining confidence in the results
Validate that automated tests actually detect incorrect behaviour rather than simply confirming the current implementation
Share testing practices, tooling, and lessons across the engineering team

AI and ML Quality

Build and maintain evaluation approaches for AI, ML, and LLM-based product features
Test non-deterministic systems using representative datasets, repeated evaluation, appropriate metrics, and acceptance thresholds
Establish regression testing for model, prompt, retrieval, and AI-system changes
Test AI integrations end to end, including tool use, schemas, authentication, authorization, error handling, and unexpected responses
Help determine where automated evaluation is sufficient and where human review remains necessary
Validate data and pipelines used to support AI and ML functionality
Incorporate production failures and edge cases back into automated test and evaluation suites
Help define evidence-based release criteria for AI-enabled product functionality

Tech Stack

Our engineering environment includes:

Languages: Python, Java, TypeScript
Test frameworks: pytest, JUnit, Playwright or Cypress
API and performance testing: Postman, k6 or JMeter
Data: PostgreSQL, TimescaleDB
Infrastructure: Linux, Docker
CI/CD: automated pipelines, test gates, coverage and release validation
Development tools: JIRA, Bitbucket
AI and ML systems: Python-based ML and LLM tooling, model and data pipelines, LLM integrations, and Model Context Protocol (MCP)

Experience with every technology listed is not required.

Required Skills / Experience

5+ years of hands-on experience in software quality engineering, test automation, SDET, software engineering, or a closely related role
Strong programming ability and experience building maintainable test automation and engineering tooling
Hands-on experience designing and implementing automated tests across multiple layers of a software system
Experience building or substantially improving automated test frameworks or test infrastructure
Experience integrating automated testing into CI/CD pipelines
Strong API, service-level, integration, and regression testing experience
Experience with performance, load, stress, or soak testing
Strong debugging and troubleshooting skills across complex software systems
Experience working with test data, fixtures, mocks, simulation, or comparable approaches to creating reliable test environments
Ability to take incomplete or ambiguous requirements and determine what should be tested, how it should be tested, and what acceptable behaviour looks like
Experience reviewing test code and helping software engineers improve their own testing practices
Strong understanding of software engineering practices, not just QA processes
Experience testing software containing AI, machine learning, LLM, or other non-deterministic functionality
Understanding of how validating probabilistic systems differs from testing deterministic software
Experience working in fast-moving software development environments with frequent code changes and automated delivery practices
Strong communication and collaboration skills

Nice to Haves

Experience building evaluation suites for LLM or machine-learning based products
Experience defining representative or golden datasets, scoring rubrics, quality metrics, acceptance thresholds, or automated graders
Experience with prompt evaluation and regression testing
Experience evaluating RAG systems, including retrieval quality, grounding, and citation accuracy
Experience testing agentic workflows, tool calling, MCP servers, or other AI integrations
Experience with LLM evaluation frameworks such as promptfoo, DeepEval, Ragas, or similar
Familiarity with LLM tracing and observability tools such as Langfuse or LangSmith
Experience using LLM-as-judge techniques and understanding their limitations
Experience validating fine-tuned models or comparing model versions
Experience testing data pipelines, ML pipelines, or model-serving infrastructure
Familiarity with PyTorch, Hugging Face, MLflow, Weights & Biases, or related ML tooling
Experience testing GPU inference systems such as vLLM or Triton
Experience with security testing for AI systems, including prompt injection, data leakage, and authorization boundaries
Experience with chaos engineering, fault injection, or resilience testing
Experience testing high-throughput, real-time, distributed, networking, or data-intensive systems
Familiarity with networking concepts and protocols
Experience with Docker, Kubernetes, Linux, and on-premise or hybrid deployments

Pay

$100,000 - $130,000 per year

Benefits

Dental care
Extended health care
On-site parking
Paid time off
Vision care

Why Join Providius

Work on technically challenging software used in complex, real-time environments
Spend your time building testing systems and automation rather than managing a QA process
Have direct influence over how quality engineering is done across the company
Work closely with software, infrastructure, networking, and ML engineers
Help define practical approaches to testing AI-enabled software as those systems become a larger part of our products
Work in a small engineering organization where strong individual contributors can have significant impact
Take ownership of difficult problems without layers of process or bureaucracy

Apply About employer

More about this job

Responsibilities

Design, build, and maintain automated test suites and infrastructure to ensure the reliability of complex software systems. Collaborate with engineering teams to implement quality practices and validate AI/ML-based product features.

Requirements

Requires 5+ years of experience in software quality engineering or test automation with strong programming skills. Candidates must have experience building test frameworks and testing non-deterministic systems like AI or LLMs.

Skills

Test automation
Python
Java
TypeScript
CI/CD
API testing
Performance testing
Software quality engineering
Debugging
Infrastructure as code
LLM evaluation
Machine learning
Regression testing
Docker
PostgreSQL
System architecture

Benefits

Dental care
Extended health care
On-site parking
Paid time off
Vision care

Visa sponsorship

Not detected in the job text

Keywords

Software Engineering
Test Automation
SDET
Python
Java
TypeScript
Pytest
JUnit
Playwright
Cypress
Postman
K6
JMeter
PostgreSQL
TimescaleDB
Linux
Docker
CI/CD
API Testing
Performance Testing
Machine Learning
LLM
Regression Testing
Infrastructure
Quality Engineering
Data Pipelines
Model Context Protocol
Bitbucket
JIRA
Chaos Engineering

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