Quality Assurance – Agent Team

About Us

Zenity is the first and only holistic platform built to secure and govern AI Agents from buildtime to runtime. We help organizations defend against security threats, meet compliance, and drive business productivity. Trusted by many of the world’s F500 companies, Zenity provides centralized visibility, vulnerability assessments, and governance by continuously scanning business-led development environments. We recently raised $38 million in a Series B funding, solidifying our position as a leader in the industry and enabling us to accelerate our mission of securing AI Agents everywhere.

About the Role

We are looking for an experienced QA and Automation engineer to work with endpoint device developers. This is a full-time, home-based position, and the ideal candidate will need a dedicated work area where they can use a variety of Windows, Mac and Linux endpoint devices. This role is a great opportunity to learn and develop cutting edge technologies in the AI and LLM security space, solving customer problems as they integrate AI into their business workflow.

Responsibilities:

Work within a geographically dispersed team of professionals as an integral part of Zenity’s growth and success
Work closely with R&D, Security, and IT teams in the UK, US and Israel
Test agent code on Windows, Mac and Linux hardware and virtual machines, in the cloud but also in a home lab
Write test cases based on feature requirements and developer Pull Request descriptions
Develop a suite of endpoint device automation tests to automatically test builds for Windows, Mac and Linux
Review PRs to identify test requirements, and adjust automation if necessary
Develop and police release gates
Assist with troubleshooting and support for high priority escalations

Requirements:

3+ years of experience working in a software development team, with a mix of manual and automation testing
Experience in test automation platforms suitable for use on end user devices, and creating automated test cases
Experience with Git and source control
Familiarity with C# and .NET runtime
Hands-on experience in Linux and Windows platforms, including familiarity with workflows used by IT Administration teams that manage a production fleet of Windows desktops and servers
Hands-on experience with cloud platforms (AWS/Azure)
Experience with GitHub Copilot, ChatGPT or other AI LLMs used for coding and development