Secure and manage all your devices with Swif. Automate compliance, streamline onboarding, and save on access management—all in one platform.

About the role

**About Swif.ai**
Swif.ai is building an AI-powered platform that makes it effortless for companies to secure and keep every macOS, Windows and Linux device compliant. We’re a small, fast-moving crew that values ownership, candour and curiosity; if you thrive on turning complex problems into dependable products, you’ll feel right at home.

What you’ll do

• Own quality from day one. Create detailed, thorough test plans and cases that cover happy paths, edge cases and failure modes.
• Automate the boring stuff. Design, build and maintain test-automation pipelines with open-source frameworks and scripting languages you love.
• Hunt bugs before users do. Reproduce, document and track defects, then verify fixes with solid regression suites.
• Collaborate cross-functionally. Partner with engineers, product managers and designers to define requirements and bake quality into every feature.
• Measure and improve. Establish QA metrics—defect density, time-to-resolution, test-coverage trends—and drive continuous improvement.
• Stay current. Evaluate new tools, frameworks and strategies so our test stack evolves along with the product.

What we’re looking for

• 2 + years in software QA (manual and automated) at a high-growth company.
• Deep knowledge of modern QA methodologies, tools and processes.
• Experience with both white-box and black-box testing and a knack for writing crystal-clear test plans.
• Hands-on skill with automation tooling—and solid Python or shell-scripting chops.
• Comfortable in Agile/Scrum environments; performance, security or API (Postman) testing experience is a bonus.
• Excellent written and spoken English; familiarity with MDM/Munki or wider device-management ecosystems is a plus.

Life at Swif.ai

Launched in 2022 and accelerated by YC, Swif.ai treats the company as a perpetual work-in-progress. We encourage experimentation, knowledge-sharing and respectful debate across a globally distributed team. You’ll get the autonomy to dive deep, the support to grow fast and a group of peers who care about building meaningful, reliable software.

Interview process

1. Screen call (≈30 min). Get to know each other, chat through your background and answer your questions.
2. Take-home or live exercise. Show us how you approach real QA problems (five-day window).
3. Team interview. Meet future teammates, discuss your solution and dive deeper into technical and product thinking.
   We aim to schedule stages in pairs and keep the entire loop inside two weeks whenever possible.

Ready to raise the quality bar for every device in the enterprise? Apply today and help us build the future of secure, compliant fleet management.

Swif.ai is a modern AI-powered unified endpoint management platform. It simplifies device security and compliance for all devices across Windows, macOS, Linux, iOS, and Android systems. This allows for easy policy deployment and control in minutes. With autopilot enrollment, managing and enrolling new devices is made simpler. Furthermore, Swif automatically collects and sends asset inventory and compliance data to compliance automation platforms like Vanta, Drata, and other tools for continuous compliance and auditing.