DevOps Engineer at Swif.ai (S20)
$30K - $50K  •  0.10% - 0.50%
Swif.ai: multi-OS device compliance & security with Shadow IT/AI control and auto-generated audit evidence.
Taiwan / VN / ID / TR / Remote (Taiwan; VN; ID; TR)
Contract
US citizen/visa only
3+ years
About Swif.ai

Swif.ai is a device compliance and security platform for Mac, Windows, and Linux that enforces policies as users work, auto-remediates drift, governs Shadow IT/AI, and streams audit evidence to Vanta/Drata for faster audits and stronger security.

About the role
Skills: Amazon Web Services (AWS), Google Cloud, Kubernetes, Docker, Git

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

We are building an all-in-one AI-driven solution for managing device security and compliance that can automate your policy deployment and data collecting for your compliance automation.

We’re looking for people with a strong background or interest in building successful products or systems; you’re comfortable in dealing with lots of moving pieces; you have exquisite attention to detail, and you’re comfortable learning new technologies. Software engineering and innovation are at the core of our team.

As a DevOps Engineer, you will be the core team supporting products, services, and APIs.

RESPONSIBILITIES:

  • Support the design and implementation of highly available and secure geo-distributed networks that operate for long periods of time with minimal maintenance
  • Deploy, upgrade, and scale our suite of mission-critical services
  • Engage in and improve the whole life cycle of services, from design through deployment and operation
  • Closely collaborate with software engineers to design highly operable and maintainable services
  • Develop prototypes to prove key design concepts and quantify technical constraints
  • Participate in architecture, design, and code reviews

BASIC QUALIFICATIONS:

  • 2+ years of professional experience with DevOps / Site Reliability
  • Experience with the Linux operating system
  • Experience with Gitlab CI/CD
  • Experience with large-scale application deployment and management systems such as Kubernetes

PREFERRED SKILLS AND EXPERIENCE:

  • Bachelor’s degree in computer science, information systems, or engineering
  • Security-driven mindset and familiarity with standards and tools such as PKI, ISTIO, RSA
  • Experience with source code development tools and version control tools
  • Experience designing and implementing software in at least one language such as Python, Go, or scripting languages
  • Experience with software product deployment, and continuous integration/deployment systems
  • Ability to work creatively and effectively in a dynamic environment with changing needs and requirements
  • Ability to work independently and in a team, take initiative, and communicate effectively

ADDITIONAL REQUIREMENTS:

  • Willing to work extended hours and weekends when needed

What’s it like to work at Swif?

Swif was launched in 2022 and accelerated by the Y Combinator program.

We look at Swif as a constant work in progress. We’re here to support each other in our curiosity and creativity – and we pursue thoughtful discussion and knowledge-sharing among a diverse set of peers and colleagues.

We want to hear from you and share with you our vision. We would love to connect people passionate about remote work and productivity solutions as much as we do.

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.

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