Quality Assurance Specialist

Job Summary:

Aislelabs is a global SaaS and data intelligence business enabling enterprises to convert their physical environments into lasting, data driven initiatives that support revenue growth. Our platform delivers spatial analytics, real-time flow and site insights, and largescale marketing and data processing to hundreds of customers worldwide, supporting mission critical outcomes.

A profitable, remote first organization, Aislelabs is entering a focused growth phase centered on platform modernization, architectural simplification, and a scalable global hosting strategy. We value disciplined execution, long term value creation, and leadership teams that balance innovation with operational rigor.

Summary

The Quality Assurance Specialist is a critical individual contributor within the Aislelabs Engineering division, responsible for end-to-end platform quality across all products and modules, including the Flow, Connect, and Marketing suites. This role spans the full spectrum of QA disciplines-test strategy, test execution, automation, defect lifecycle management, and release validation-requiring both strategic thinking and strong hands-on delivery.

The Quality Assurance Specialist works closely with Engineering, Product Management, and DevOps to embed quality throughout the development lifecycle, serving as a primary voice of quality standards and risk assessment at every release. The ideal candidate is highly adaptable across testing disciplines, self-directed, and motivated by building quality practices that scale with a growing SaaS platform. Experience leveraging AI tools to enhance test coverage and efficiency is highly valued.

Job Description:

Responsibilities

Test Strategy, Planning, & Standards

• Own and continuously evolve the QA strategy across all platform products and modules, including the approach to functional, regression, integration, performance, and release validation testing.
• Develop and maintain test plans for each release cycle covering scope, risk areas, test types, and entry/exit criteria, in alignment with Engineering release schedules and sprint planning.
• Define and maintain QA standards, documentation practices, and testing methodologies that provide consistency and repeatability; maintain a prioritized test coverage map across the full platform.
• Participate actively in sprint ceremonies-planning, grooming, stand-ups, and retrospectives-contributing QA estimates, surfacing quality risks early, and providing data-driven improvement recommendations.

Test Case Development & Execution

• Design, author, and maintain a comprehensive library of test cases covering functional, regression, integration, boundary, edge case, and exploratory scenarios across all platform modules and workflows.
• Execute thorough functional and regression testing of new features, enhancements, and bug fixes prior to each release, validating against approved requirements, acceptance criteria, and design specifications.
• Perform API-level testing using tools such as Postman or equivalent, verifying endpoint behavior, request/response payloads, authentication, error handling, and integration data flows end to end.
• Validate UI/UX implementations across supported browsers, operating systems, and device types, and test end-to-end workflows spanning multiple platform modules and services.
• Design and execute performance and load tests to validate platform scalability and stability under realistic and peak conditions, defining benchmarks and identifying bottlenecks in collaboration with Engineering.

Test Automation

• Develop, maintain, and expand an automated test suite using appropriate frameworks aligned to the platform stack (Java, JavaScript/TypeScript, React), integrated into the CI/CD pipeline where applicable.
• Continuously review and refactor automated scripts to maintain reliability and keep pace with platform changes; prioritize automation candidates based on frequency, execution time, and regression risk.

Defect Management & Release Validation

• Log all defects completely in Jira with reproducible steps, environment details, severity/priority classifications, and supporting evidence; manage the full defect lifecycle from discovery through fix verification.
• Triage and prioritize defect queues in collaboration with Engineering and Product, communicating release-blocking risk clearly and maintaining defect trend and root cause analysis records.
• Own the release readiness assessment, providing a go/no-go recommendation with supporting sign-off documentation summarizing test scope, results, known issues, and accepted risk for each production release.

QA Process & Cross-Functional Contribution

• Establish, document, and continuously refine QA processes, standards, and workflows; build and maintain reusable assets including test plans, checklists, and environment configurations.
• Act as the internal advocate for software quality, engaging Engineering and Product teams in shared accountability for platform excellence and contributing structured feedback to improve release predictability.
• Contribute to knowledge base documentation and support the broader team with QA insight on escalated customer-reported issues and platform defect investigations as required.

Minimum Qualifications

• 3+ years of experience in a software QA role with ownership of test planning, execution, defect management, and release validation within a SaaS or software product environment.
• Experience operating as a generalist QA resource across multiple products or modules simultaneously, independently managing scope, priority, and risk across a broad and varied testing workload.
• Solid understanding of software testing methodologies including functional, regression, integration, exploratory, boundary, and performance testing.
• Hands-on experience with API testing tools (e.g., Postman) and at least one test automation framework (e.g., Selenium, Playwright, Cypress, or equivalent).
• Working knowledge of Jira for defect logging, sprint participation, and QA estimation; familiarity with agile/scrum development processes.
• Ability to write clear, detailed, reproducible test cases and defect reports; basic proficiency in SQL or query tools for data validation.
• Strong analytical, communication, and documentation skills; highly organized, self-directed, and effective in a fully remote environment.
• Demonstrated ability to use large language models (such as Claude, ChatGPT, or similar) to generate test cases, create test data, draft defect reports, produce QA documentation, and analyze test results-integrating AI meaningfully into day-to-day QA workflows.

Highly Desirable Skills & Experience

• Experience using AI-powered testing tools (such as Testim, Mabl, Applitools, or similar) to accelerate test creation, improve coverage, and reduce manual testing effort through intelligent test generation and self-healing automation.
• Familiarity with prompt engineering techniques for QA use cases, including generating edge case scenarios, boundary condition tests, and regression scripts from feature specifications or user stories.
• Experience using AI tools to analyze defect patterns, identify recurring root causes, and surface quality trends from historical test and issue data.
• Working knowledge of performance and load testing tools (e.g., JMeter, Gatling, k6); experience with CI/CD pipeline integration (e.g., Jenkins, GitHub Actions) for automated test gating.
• Experience testing platforms with spatial data, real-time event processing, large-scale data ingestion, or IoT/hardware-connected architectures.
• Familiarity with cloud infrastructure concepts (e.g., AWS), accessibility testing standards (WCAG), and security testing fundamentals (OWASP Top 10).
• Working knowledge of DevOps tools including Confluence, version control (Git), and experience collaborating within international engineering teams across multiple time zones.
• Highly motivated self-starter with intellectual curiosity, a passion for software quality, and the resilience to maintain high standards in a fast-paced environment.
• High proficiency with Microsoft Office.

Compensation Range: 65,000 - 80,000 CAD Annually

Worker Type:

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