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Added 14 mins ago
Salesforce Administrator
Aviva
Toronto, ON · Markham, ON
The successful candidate will work closely with business stakeholders, Product Owners, Business Analysts, and technical teams to ensure Salesforce effectively supports business processes,…
Added 29 mins ago
Product Security Engineer
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Vancouver, BC
Investigate product security incidents as a subject matter expert, using logs and monitoring tools to contain, analyze, and drive resolution.
Added 56 mins ago
H
Data Quality Engineer
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Toronto, ON
- Contract
You will work closely with developers, data engineers, product managers, and business stakeholders to maintain the highest quality standards throughout the software development lifecycle.
Added 58 mins ago
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- Full-time
Knowledge of automation tools, frameworks, and languages such as Python and JSON, plus a foundational understanding of AI concepts.
Added 1 hour ago
M
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Toronto, ON · Waterloo, ON
- Full-time
…across the software development lifecycle, partnering with product owners, architects, and engineering teams to build secure, scalable, and high-performing applications. You'll influence…
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…underwriting workflow improvements in partnership with underwriting, product, operations, distribution, and technology…
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- $70,000 to $80,500 CAD / year
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…and greatest technology, and we've successfully woven AI and automation into everything we…
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Remote, Canada
- $90,000 to $115,000 CAD / year
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Identify, assess, and track enterprise, cyber, product, and third-party risks, actively expanding our cybersecurity risk universe.
Added 1 hour ago
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Product Security Specialist II
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- $102,000 to $115,000 CAD / year
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Play a key role in shaping Safe Software's product security program - from strengthening security practices within the software development lifecycle and supporting the AI governance…
Added 1 hour ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
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…management, CI/CD pipelines, MLflow, monitoring, deployment automation, rollback, and production…
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Software Developer (Automation & Integration)
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- $115,000 to $145,000 CAD / year
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…solve complex, real-world problems across warehouse design, automation, order management, transportation, and end-to-end supply chain…
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Field Operations Specialist
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- Full-time
Turn manual or loosely defined tasks into documented, repeatable workflows. Use APIs, structured data, dashboards, automation platforms, and AI-enabled tools to improve efficiency while…
Added 2 hours ago
Principal Product Acceleration Specialist - Auth0
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Toronto, ON
As a Principal Product Acceleration Specialist for Auth0, you will play a critical role in driving customer success, deep product adoption, and long-term retention across Okta’s most…
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Experience with AI-powered developer tools such as GitHub Copilot and other AI-assisted software engineering solutions.
Added 2 hours ago
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…stack - building backend services, APIs, integrations, internal tools, and frontend components - while also supporting cloud infrastructure, deployments, monitoring, and…
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…the AppSec team, leading our strategic shift hard-left toward developer-embedded security and Secure by Design operationalization. You will design, build, and scale state-of-the-art AppSec…
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Added 3 hours ago
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Staff Supply Chain Simulation Scientist
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- Full-time
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…solve complex, real-world problems across warehouse design, automation, order management, transportation, and end-to-end supply chain…
Added 3 hours ago
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Senior Simulation Scientist
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- Full-time
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…solve complex, real-world problems across warehouse design, automation, order management, transportation, and end-to-end supply chain…
Added 4 hours ago
M'
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Added 5 hours ago
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Kaseya Careers

Senior Software Engineer – DevTest / QA Automation

Toronto, ON, Canada

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Job details

Experience: 5+ years of software engineering, SDET, DevTest, or QA automation experience, with strong hands-on programming experience.
Posting language: English
Posted: Sep 30, 2026

Original job description

About Kaseya

Backed by Insight Partners, a leading global software investor, Kaseya has experienced sustained double-digit growth and continues to expand its global footprint. Today, Kaseya supports customers in more than 20 countries and manages over 15 million endpoints worldwide.

Founded in 2000, Kaseya was built by builders - and we're still building. We look for people who create rather than wait, who see a hard problem and lean in, and who treat challenges as raw material. At Kaseya, everyone plays a role in shaping the future of IT: whether you're in engineering, product, sales, marketing, customer support, or operations, your work helps protect, defend, and optimize IT environments across the globe.

We're building teams that grow, perform, and make an impact. If you're driven by the itch to make things better - a product, a process, a career - you'll fit right in.

At Kaseya, we don't just raise the bar. We build it.

Senior Software Engineer – DevTest / QA Automation

About Kaseya

Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Our comprehensive platform helps organizations efficiently manage, secure, and automate their IT environments, driving operational efficiency and long-term business success. Backed by Insight Partners, a leading global software investor, Kaseya has experienced sustained double digit growth and continues to expand its global footprint. Today, Kaseya supports customers in more than 20 countries and manages over 15 million endpoints worldwide.

Founded in 2000, Kaseya has built a culture centered around innovation, accountability, and results. We are a high-growth, high-performance organization that values individuals who are driven, adaptable, and committed to delivering exceptional outcomes for our customers and teammates alike.

Position Summary

Kaseya is seeking a Senior Software Engineer – DevTest / QA Automation to design, build, and maintain robust automated testing capabilities across enterprise software platforms.

This is a hands-on software engineering role focused on test automation and engineering quality. The ideal candidate will have a strong programming background and be capable of building test libraries, automation frameworks, test infrastructure, and large scale automated test suites.

The role requires an engineer who can leverage AI assisted development tools and coding agents to accelerate automation, analyze existing codebases, generate and validate test scenarios, and rapidly expand automated coverage. The candidate should be comfortable working across application code, test infrastructure, CI/CD pipelines, cloud environments, and production troubleshooting.

The successful candidate will be able to take an existing codebase and, with limited direction, deliver hundreds of meaningful automated test cases within weeks, while maintaining quality, reliability, and maintainability.

Key Responsibilities

Design, develop, and maintain automated test frameworks, test libraries, utilities, and reusable automation components.

Build comprehensive automated test suites for enterprise SaaS applications, APIs, services, integrations, and distributed systems.

Write production-quality code to automate functional, integration, regression, API, and system-level testing.

Analyze existing application codebases and rapidly identify opportunities for automated test coverage.

Develop and execute large-scale automation initiatives capable of delivering hundreds of automated test cases in a short timeframe.

Leverage AI coding assistants and AI agents extensively to accelerate test development, test generation, code analysis, debugging, and automation engineering.

Validate AI-generated code and test cases through appropriate engineering practices, including code review, execution, debugging, and test-result analysis.

Integrate automated tests into CI/CD pipelines and test execution infrastructure.

Work with CI/CD runners, build systems, deployment pipelines, test environments, and automation reporting.

Develop automation that can run reliably in continuous integration and deployment environments.

Troubleshoot automation failures, application issues, environment problems, and production defects using logs, metrics, traces, code, and system behavior.

Participate in production troubleshooting and issue reproduction, including supporting incidents or reproducing customer issues outside standard working hours when required.

Collaborate closely with software engineers, architects, product managers, DevOps, operations, and other QA/DevTest engineers to identify quality risks and improve engineering practices.

Contribute to improvements in testability, observability, reliability, performance, and maintainability of the product.

Identify gaps in existing test coverage and proactively create automation to prevent regression.

Review application and test code and provide technical feedback on quality, maintainability, reliability, and automation effectiveness.

Continuously improve automation speed, stability, coverage, and execution efficiency.

Required Qualifications

Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.

5+ years of software engineering, SDET, DevTest, or QA automation experience, with strong hands-on programming experience.

Programming skills in one or more languages such as Java, C#, Python, JavaScript/TypeScript, or similar.

Demonstrated experience building automation frameworks, test libraries, reusable testing components, and automation infrastructure.

Strong understanding of software engineering fundamentals, including object-oriented programming, data structures, APIs, databases, debugging, and version control.

Experience developing automated tests for APIs, backend services, web applications, distributed systems, or enterprise software.

Strong experience with CI/CD pipelines and automated test execution, including familiarity with CI/CD runners and build/deployment infrastructure.

Hands-on experience with AWS or other cloud environments, with the ability to troubleshoot applications and test environments in the cloud.

Experience troubleshooting complex application and production issues using logs, metrics, traces, database queries, and code level debugging.

Ability to understand an existing codebase and independently build significant automated test coverage.

Demonstrated ability to use AI assisted development tools/coding agents as part of day to day engineering and test automation work.

Strong analytical and debugging skills with the ability to identify root causes rather than simply report failures.

Strong understanding of test automation principles, test design, regression testing, and automation reliability.

Ability to work collaboratively with engineering and cross functional teams.

Willingness to support production issue reproduction and troubleshooting outside standard working hours when required.

Preferred Qualifications

Experience working on enterprise SaaS, IT management, cybersecurity, endpoint management, RMM, or other complex software platforms.

Deep experience with AWS services and cloud-hosted, data center hosted, or hybrid environments.

Experience designing and maintaining large-scale SDET/DevTest automation frameworks.

Experience with API automation, integration testing, contract testing, service virtualization, or distributed-system testing.

Experience with tools and frameworks such as Selenium, Playwright, Cypress, REST-assured, pytest, JUnit, TestNG, or equivalent technologies.

Experience with Docker, Kubernetes, or containerized test environments.

Experience with CI/CD platforms such as Jenkins, GitHub Actions, GitLab CI, Azure DevOps, or equivalent.

Experience with SQL and relational databases, including writing queries for test validation and production troubleshooting.

Experience using AI coding agents to perform tasks such as code generation, test generation, codebase analysis, debugging, refactoring, and test optimization.

Understanding of application security, scalability, reliability, observability, and distributed-system behavior.

Experience building automation capable of operating at significant scale without excessive flakiness or maintenance overhead.

Strong ownership mindset with the ability to independently drive automation initiatives from design through implementation and production adoption.

Additional Information

Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.

Additional information
Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.

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More about this job

Responsibilities

Design, develop, and maintain robust automated test frameworks and suites for enterprise SaaS platforms. Leverage AI-assisted development tools to accelerate test generation, code analysis, and the expansion of automated test coverage.

Requirements

Requires a bachelor's degree in Computer Science or equivalent and at least 5 years of experience in software engineering or QA automation. Candidates must possess strong programming skills and experience with CI/CD pipelines, cloud environments, and automated testing frameworks.

Skills

Java
Python
C#
JavaScript
TypeScript
Test Automation
CI/CD
AWS
API Testing
Software Engineering
Selenium
Playwright
Cypress
Docker
Kubernetes
SQL

Visa sponsorship

Not detected in the job text

Keywords

Software Engineering
QA Automation
DevTest
SaaS
Cybersecurity
AI-powered
Test Frameworks
API Testing
Regression Testing
CI/CD Pipelines
AWS
Cloud Environments
Docker
Kubernetes
Selenium
Playwright
Cypress
REST-assured
JUnit
TestNG
SQL
Object-Oriented Programming
Distributed Systems
Observability
Debugging
Automation Infrastructure
Endpoint Management
RMM
Integration Testing
Code Analysis

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