Zof AI

Zof AI is an AI-powered software testing platform that offers a natural language no-code automated testing solution. It enables companies to automate their QA processes with AI-generated test cases…

AIAutomated TestingNo-CodeQuality AssuranceSelf-HealingSoftware TestingTest AutomationVisual Regressionzof.ai

Zof AI

AIAutomated TestingNo-CodeQuality AssuranceSelf-HealingSoftware TestingTest AutomationVisual Regressionzof.ai

HQSan Francisco, US

Team Size27

Open Jobs21

Total Funding$250K

Latest Fundraise6 months ago

Join the Team

Security Engineer (Cloud / AI Systems)

On-SiteSan Francisco Bay Area, US

On-Site • San Francisco Bay Area, US

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Company Description

Zof AI provides a cutting-edge platform that enhances software reliability through real-time monitoring and intelligent automation. As software systems grow more complex with AI-driven development and rapid deployments, Zof AI bridges the gap between traditional validation methods and modern development needs. By combining autonomous testing, system understanding, and remediation orchestration, the platform ensures continuous reliability across dynamic software environments. While automating reliability workflows, Zof AI empowers users to define policies, intent, and approval boundaries, enabling organizations to maintain control while improving software performance at scale. Headquartered in the San Francisco Bay Area, Zof AI is dedicated to advancing software reliability for modern engineering teams.

Role Description

This is a full-time on-site role based in the San Francisco Bay Area for a Security Engineer (Cloud / AI Systems). The Security Engineer will oversee and enhance security across cloud-based AI systems, ensuring robust application and network security measures. Their daily responsibilities include conducting security assessments, implementing cybersecurity frameworks, developing security policies, identifying vulnerabilities, designing secure architectures, and ensuring compliance with industry standards. Collaboration with engineering teams to integrate security best practices and responding to potential incidents will be integral to the role.

Qualifications

Strong understanding of core Application Security principles, including secure code practices and identifying potential vulnerabilities in software.
Expertise in Network Security, encompassing network design, protection mechanisms, and monitoring to defend against unauthorized access or breaches.
Knowledge in Cybersecurity principles and frameworks to address threats and mitigate risks in cloud and AI-driven systems.
Solid foundation in Security Engineering and Information Security, ensuring the implementation of best practices for system and data protection.