Principal QA Automation Engineer

About Us

KlearNow.AI is on a mission to futurize global trade. Our patented AI and machine learning platform digitizes and contextualizes unstructured trade documents to unlock real-time shipment visibility, drive smart analytics, and provide critical business intelligence—without the hassle of complex integrations. We empower supply chains to move faster, work smarter, and make data-driven decisions with confidence. With operations in the U.S., Canada, U.K., Spain, and the Netherlands—and aggressive growth plans underway—we’re scaling a global platform for the future of logistics.

We achieve our goals by assembling a team of the best talents. As we expand, it's crucial to maintain and strengthen our culture, which places a high value on our people and teams. Our collective growth and triumphs are intrinsically linked to the success and well-being of every team member

OUR VISION

To empower people and optimize processes with AI-powered clarity.

YOUR MISSION

We’re building a team of bold thinkers, problem solvers, and storytellers. As part of our high-energy, inclusive workplace, you’ll challenge the status quo of traditional supply chains and help shape a more transparent, intelligent, and efficient world of trade. Whether you're a product innovator, logistics expert, or marketing storyteller—your work at KlearNow.AI will make a measurable impact.

Why Klearnow.ai

Global Impact: Be part of a platform live in five countries and expanding rapidly.

Fast-Growing SaaS Company: Work in an agile environment with enterprise backing.

Cutting-Edge Tech: AI-powered customs clearance, freight visibility, document automation, and drayage intelligence—all in one.

People-First Culture: We invest in our team’s growth and well-being.

Make Your Mark: Shape the future of trade with your ideas and energy.

Experience

8+ years in Quality Engineering with strong automation leadership

Role Summary

We are looking for a QA Automation Architect with AI experience to design, build, and scale UI and Backend automation frameworks for enterprise-grade applications. This role will own the automation strategy, frameworks, standards, and execution while leading QA engineers to ensure high-quality, production-ready releases. Candidates with strong AI-driven QA experience are highly preferred.

Key Responsibilities

Automation Architecture & Strategy Define and own end-to-end automation architecture for: UI Automation Backend / API Automation Establish automation standards, best practices, and reusable frameworks Implement test pyramid strategy and shift-left testing Select tools, libraries, and frameworks for long-term scalability

UI Automation

Design and maintain robust UI automation frameworks using: Selenium / Playwright / Cypress Automate complex, dynamic UI workflows Handle cross-browser testing and data-driven automation Reduce flaky tests and improve execution stability Own UI regression coverage for critical business flows

Backend / API Automation

Build and scale API automation frameworks using: REST Assured / Karate / Postman Validate APIs for: Functional correctness Business rules Error handling and edge cases Automate end-to-end workflows involving asynchronous processing Support event-driven testing (Kafka or similar systems)

CI/CD & DevOps Integration

Integrate automation suites with CI/CD pipelines: Jenkins / GitHub Actions / GitLab CI Enable automated: Smoke tests Regression suites Release go/no-go criteria Work closely with DevOps to ensure fast and stable pipelines

AI, LLMs & Modern QA Skills (Highly Preferred)

Hands-on experience with AI tools like Cursor to accelerate automation development, improve code quality, and generate/optimize test scripts. Working knowledge of LLMs, including: Prompt engineering Using AI to create, refactor, and maintain automated test cases Generating test scenarios, edge cases, and data sets using AI Ability to incorporate AI-driven testing accelerators into daily QA workflows. Self-motivated, proactive, and able to drive adoption of AI-based improvements across the QA team.