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Added 12 days ago
CS
AI Architect / AI Technical Lead
Confiar Services
Toronto, ON
- Contract
Strong knowledge of software architecture, design patterns, and scalable application development.
Added 12 days ago
CT
Sr CyberSec Spec Threat Intel
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- Full-time
Contribute to the development of AI-enabled use cases such as automated IOC generation, threat summarization, adversary profiling, and intelligence-to-detection pipelines.
Added 12 days ago
Associate Director, Quality Engineering (6 Months contract)
EQ Bank | Canada's Challenger Bank
Toronto, ON
We are seeking an Associate Director, QA to lead and shape the automation testing strategy for our software applications, systems, and databases. This leadership role requires a strong…
Added 12 days ago
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- Full-time
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Added 12 days ago
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Added 12 days ago
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Computer Science Co-op
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Added 12 days ago
TC
Data Engineer
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7+ years of strong hands-on Java development experience.
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Staff Software Engineer, Notification Hub & Experience
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You are AI-Fluent and have deep experience applying AI in the software development
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Senior Machine Learning Engineer
TD
Toronto, ON
- Full-time
…opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been…
Added 12 days ago
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Senior Machine Learning Engineer
TD
Toronto, ON
- Full-time
…opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been…
Added 12 days ago
P
Senior Software Engineer, Test
Providius
Hamilton, ON
- Full-time
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…
Added 12 days ago
EC
Manager, Software Engineering
Emburse Chrome River
Toronto, ON
- Full-time
4–6 years of distributed software development experience, with 1–3 years of direct line management or player-coach management experience
Added 12 days ago
X
Senior Data Scientist - Decision Intelligence
Xanadu
Toronto, ON
- Full-time
As a Senior Data Scientist, you will lead the design and development of a unified decision intelligence product that fuses data from across Xanadu's R&D efforts – fabrication, device…
Added 12 days ago
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Chief of Staff
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- Remote
Added 12 days ago
AC
Senior Product Development Engineer – Liquid Cooling
Amphenol Communications Solutions
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Added 12 days ago
EG
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Montreal, QC · Canada - Quebec - Montreal
- Full-time
Added 12 days ago
CO
Principal Associate, AI Engineer
Capital One
Toronto, ON
- Full-time
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation,…
Added 12 days ago
CO
Manager, Applied Researcher
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- Full-time
Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers…
Added 12 days ago
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Sr. Analytics and Automation Engineer
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Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
…Successful Candidate will be working on several automation code development primarily for network services, with initial focus on micro/macro segmentation. This person will also play a…
Added 12 days ago
M
Software Engineer
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- Full-time
We are looking for a skilled Software Developer to join our AI-focused startup developing custom solutions for enterprise development teams. You will work collaboratively as part of a…
Added 12 days ago
VI
AI Evaluation Scientist - Learning & Cognition
Vector Institute
Toronto, ON
- $125,800 to $157,300 CAD / year
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Added 12 days ago
RB
Senior Security Specialist - Cloud (Global Security)
Royal Bank of Canada
Toronto, ON
- Full-time
Strong technical understanding in a variety of hardware and software platforms (Linux & Windows)
Added 12 days ago
C
Software Developer, Hybrid, Ottawa, Canada
Cisco
Ottawa, ON
- Full-time
We are seeking a highly skilled Software Developer to deliver features needed for integration between Cisco Cloud Control and Cisco Catalyst Center. In this role, you will design and lead…
Added 12 days ago
E
Manager, Software Engineering
Emburse
Toronto, ON
- Full-time
4–6 years of distributed software development experience, with 1–3 years of direct line management or player-coach management experience

Providius

Senior Software Engineer, Test

Hamilton, ON, Canada

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

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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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