Senior SDET: AI-Driven QA Automation Engineer

Kaseya; Toronto; On-site; CAD 110,000 - 160,000; Full time

Job summary

Kaseya is seeking a Senior Software Engineer – DevTest / QA Automation to design, build, and maintain automated test capabilities across enterprise SaaS platforms. This hands-on role focuses on test automation, quality, and scalable test libraries, with an emphasis on AI-assisted development tools to accelerate coverage across APIs, services, and UI layers.

You will work with engineering, product, DevOps and QA teams to embed automation in CI/CD, troubleshoot issues, and deliver hundreds of

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.

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.

Skills

Java

Python

QA Automation

Automation Frameworks

CI/CD

AWS

AI coding aids

Debugging

SQL

Education

Bachelor's degree in Computer Science or equivalent

Tools

Docker

Kubernetes

REST APIs

Playwright

Selenium

Job description

Kaseya is seeking a Senior Software Engineer – DevTest / QA Automation to design, build, and maintain automated test capabilities across enterprise SaaS platforms. This hands-on role focuses on test automation, quality, and scalable test libraries, with an emphasis on AI-assisted development tools to accelerate coverage across APIs, services, and UI layers.

You will work with engineering, product, DevOps and QA teams to embed automation in CI/CD, troubleshoot issues, and deliver hundreds of