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Software Testing Engineer (QA)

Swif.ai
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Hybrid (Taiwan / Vietnam)$30k - $50kFull-timePosted 11mo ago

About the role

QA role at Swif.ai focusing on owning quality from day one, building test plans, automating tests, and collaborating across functions to ensure robust, scalable software for enterprise device governance.

Responsibilities

  • 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.

Qualifications

  • 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.

Skills

Required:QA methodologies/tools/processesTest planningAutomation toolingPythonShell scriptingWhite-box testingBlack-box testingEnglish communication
Nice to have:Postman
Last updated Aug 12, 2026. Interested? Apply on the company site.
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About Swif.ai

Swif.ai: multi-OS device compliance & security with Shadow IT/AI…

Swif.ai is a real-time device compliance and security platform that keeps every Mac, Windows, and Linux endpoint secure and audit-ready. Our lightweight agent enforces policies (encryption, patching, app controls) as people work, auto-remediates drift, and streams audit evidence to tools like Vanta and Drata. Unlike legacy MDM or “after-the-fact” compliance software, Swif.ai delivers enforcement—not just reports—plus device-level Shadow IT/AI governance to detect and block risky or unauthorized SaaS and LLM tools. Enterprises choose Swif.ai for true multi-OS coverage in a single pane of glass, one-click remediation, and fast time-to-value via silent installers and native integrations with Okta, Microsoft Entra ID, and Google Workspace (conditional access by device posture). The result is fewer tools to manage, shorter audits, and stronger security with lower operational burden. Swif.ai is SOC 2 Type II. Our near-term roadmap adds Safe-AI controls for regulated industries, AI-agent monitoring, and integrated vulnerability detection with one-click fixes—expanding our lead as the enforcement layer for endpoint compliance and AI security.

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