Software Testing Engineer (QA)

About Swif.ai

Swif.ai is the governance layer that lets every company unleash AI safely—and we’re poised to own that future.

News:

• Best MDM in 2026
• Best Linux MDM in 2026
• Best Linux MDM Software in 2026

Product:

• Browser extension
• Shadow IT visibility and control
• NVIDIA DRIVE OS
• Android MDM
• Linux MDM
• Windows MDM
• Mac MDM
• iOS MDM
• Apple MDM
• Device CVE Report
• Unified MDM

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.

Interview Process

The interview process is a deeper dive into technical abilities, product thinking and overall fit. For the “fit” portion, we are again looking for ownership and autonomy, but we also dig deeper into communication. This is evaluated throughout the process -- in how you communicate your approach, solutions and overall thinking.

Each interview is 1 hour long, with 45 minutes allocated for the technical portion, and 15 minutes for Q&A. The process is the same for most of our technical roles, and gives you the opportunity to ask questions throughout.

Each interview in more detail:

• Screen call: we will discuss any potential questions you might have. It is the opportunity for the company to understand your background and why us. We might ask technical questions at the screening calls.
• Take-home assignment: You will be assigned a take-home assignment to finish within 5 days. For engineering positions, we will often contact real-time coding sessions instead.
• Interview with the team: You will have a chance to meet with the team before receiving our offer.

We try to schedule two portions of the interview at a time. After the first two interviews, we sometimes short-circuit the process with a “no-hire”. (On rare occasions, we short-circuit the process for a “hire” as well.) We have found that going through the entire process gives us enough to make a go/no-go decision. We offer feedback to candidates who request it, and relate the feedback to the skills, qualification and interview process above.