Backend Engineer (Golang)
About the role
Backend Engineer role at Swif.ai focusing on building high-performance Golang backend services and microservices for an AI governance platform.
Responsibilities
- Architect & Build: Develop high-performance, scalable backend services and microservices using Golang.
- Embrace AI Tools: Use Windsurf, Cursor, or similar AI-driven coding tools to accelerate development and maintain top-notch code quality.
- Optimize & Iterate: Write clean, testable, and efficient code; perform code reviews to ensure best practices and continuous improvement.
- Collaborate Cross-Functionally: Work with product managers, frontend engineers, and data scientists to deliver seamless end-to-end solutions.
- Troubleshoot & Maintain: Diagnose, debug, and resolve complex issues in production, ensuring reliability and uptime.
- Commit to Growth: Be ready to work 6 days a week in a fast-paced environment and tackle evolving challenges head-on.
Qualifications
- Proficiency in Golang: Comfortable building distributed systems, leveraging concurrency, and working with microservice architectures.
- Experience with AI-Driven Tools: Familiarity (or eagerness to learn) Windsurf, Cursor, or comparable AI tools to enhance productivity.
- Strong Technical Foundations: Understanding of data structures, algorithms, and networking fundamentals.
- Problem-Solving Mindset: Creative thinking for tackling tough engineering hurdles.
- Team-First Attitude: Excellent communication and collaboration skills; open to feedback and knowledge-sharing.
- Adaptability & Resilience: Willingness to take on challenges, adapt to new technologies, and maintain a 6-day work schedule.
Skills
Benefits
- Competitive Compensation: We recognize and reward the extra effort, commitment, and expertise you bring.

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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