Senior QA Automation Engineer

Department Overview Software QA at Avigilon Alta is the quality function behind our cloud-managed access control and video security platform — products trusted by enterprise customers to secure their people, sites, and operations. The team partners with 8 product engineering teams to ensure every release meets the reliability bar our customers depend on, owning test strategy, automation, release validation, and defect prevention end-to-end. We operate on an "Automation First" model. Our Playwright/TypeScript web automation suite is wired directly into CI/CD, and we invest heavily in modern tooling — AI-assisted test generation, self-healing locators, and visual regression — so coverage scales with product growth rather than headcount. That leverage frees the team to spend human judgment where it matters most: exploratory testing, acceptance validation on high-risk features, and the customer-facing flows where automation has the lowest ROI.

Job Description

As a Senior QA Automation Engineer, you will be a primary driver of our "Automation First" strategy. This role is weighted heavily toward technical development (70% Automation / 30% Manual), focusing on building robust, scalable frameworks for our web and mobile ecosystems. You will leverage modern tools like Playwright, WebDriverIO, and Appium 2.0 while actively integrating Generative AI tools to optimize our testing lifecycle.

Responsibilities

• Automation Framework Development (70%):
• Design and maintain end-to-end automation suites for web applications using Playwright and TypeScript.
• Architect mobile automation for iOS and Android using WebDriverIO + Appium 2.0.
• Develop and scale automation for managing large-scale device fleets, focusing on firmware stability and edge-to-cloud connectivity.
• Integrate automated tests into CI/CD pipelines to ensure rapid, high-quality deployments.
• AI Implementation & Strategy:
• Implement AI-driven testing tools (e.g.,Claude Code, Cursor, Gemini) to enhance script maintenance, generate synthetic test data, and enable self-healing test suites.
• Utilize Large Language Models (LLMs) to accelerate test case generation and automate the transformation of manual test steps into TypeScript code.
• Explore AI for visual regression testing to ensure UI consistency across various mobile screen sizes and web browsers.
• Manual & Exploratory Testing (30%):
• Conduct high-impact manual testing for complex new features, including smoke, sanity, and user-centric acceptance testing.
• Perform rigorous exploratory testing on physical hardware integrations and mobile-specific hardware triggers (NFC, BLE).
• Defect Management: Lead the bug life cycle by providing deep-dive technical analysis, logs, and reproducible steps for engineering teams.
• Performance Monitoring: Determine and define performance and load testing requirements based on product requirements.

Qualifications

• Experience: 5+ years of professional experience in software quality assurance, with a proven transition into deep automation engineering.
• Technical Core:
• Expertise in TypeScript: Deep proficiency in writing clean, reusable, and modular code for automation.
• Modern Web Testing: Advanced experience with Playwright.
• Mobile Excellence: Extensive experience with Appium 2.0 and WebDriverIO (specifically for native and hybrid mobile apps).
• Platform Tools: Hands-on experience with Xcode and Android Studio/ADB for debugging and profiling.
• AI & Innovation:
• Practical experience using AI tools for code generation, test optimization, or automated bug reporting.
• Familiarity with leveraging AI for predictive analytics (e.g., identifying high-risk areas of the codebase for targeted testing).
• IoT/Hardware: Experience testing hardware-integrated systems, firmware updates, or IoT device orchestration.
• Cloud / SaaS Testing: Experience testing cloud-managed web applications, including multi-tenant environments, API integrations, and real-time data flows.

Soft Skills

• Adaptability: Ability to pivot quickly in a fast-paced, high-growth environment.
• Analytical Mindset: A data-driven approach to quality, utilizing metrics to improve the automation footprint.
• Collaboration: Strong interpersonal skills to bridge the gap between Hardware, Firmware, and Cloud Engineering teams.

Nice to Have

• Experience with BrowserStack or similar cloud-based device farms.
• Knowledge of video streaming protocols (HLS, WebRTC) for security camera integrations.
• Experience with performance and load testing tools (e.g., k6, JMeter).

The base salary for this position in CAD $95K–$120K base

#LI-AA1 #LI-HYBRID

Basic Requirements

• Bachelor’s degree
• 3+ years of experience in QA/Test

Travel Requirements None Relocation Provided None Position Type Experienced Referral Payment Plan Yes EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.

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