Software Testing Engineer (QA)

Software Testing Engineer (QA) at Swif.ai | Y Combinator's Work at a Startup Work at a StartupStartup JobsInternshipsUpcoming EventsHow it WorksLog InSoftware Testing Engineer (QA) at Swif.ai (S20)$30K - $50K • 0.10% - 0.50%The guardrail for AI on every deviceTW / VN / Remote (TW; VN)Full-timeUS citizenship/visa not required1+ yearsApply nowAbout Swif.ai Swif.ai is a device compliance and security platform for Mac, Windows, Linux, and Android that enforces policies as users work, auto-remediates drift, governs Shadow AI, and streams audit evidence to Vanta/Drata for faster audits and stronger security. Product: • Mac • Windows • Linux • Android/iOS About the roleSkills: MacOS, GraphQL, Windows, LinuxAbout Swif.ai Swif.ai is the governance layer that lets every company unleash AI safely—and we're poised to own that future. Product: • Best MDM in 2026 • Best Linux MDM in 2026 • Best Linux MDM Software in 2026 Intro: • Browser ext • 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 • Screen call (≈30 min). Get to know each other, chat through your background and answer your questions. • Take-home or live exercise. Show us how you approach real QA problems (five-day window). • 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. Technology Swif.ai is a real-time device compliance and security platform for Mac, Windows, and Linux. Our lightweight agent enforces encryption, patching, and app controls as people work, auto-remediates drift, and streams audit evidence to tools like Vanta and Drata—delivering enforcement, not just reports. We add device-level Shadow IT/AI governance to detect and block risky SaaS and LLM tools. Customers choose Swif.ai for true multi-OS coverage in a single pane, one-click remediation, fast time-to-value via silent installers, and native integrations with Okta, Microsoft Entra ID, and Google Workspace for conditional access by device posture. Swif.ai is SOC 2 Type II. Next up: Safe-AI controls for regulated industries, AI-agent monitoring, and integrated vulnerability detection with one-click fixes. Product: • Mac • Windows • Linux • Android/iOS 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 ques