
11 - 50 employees
đ¤ Artificial Intelligence
đ Cybersecurity
âď¸ SaaS
Artificial Intelligence ⢠Cybersecurity ⢠SaaS
Runlayer is a security and orchestration platform that connects AI clients, MCPs (model-connected protocols), skills, plugins, and agents to the enterprise stack with fine-grained permissions, real-time threat detection, and complete observability. It provides a centralized, secure registry, one-click deployment, and integrations with SSO/SCIM and enterprise identity providers, and can be run self-hosted or in the cloud to make AI tools enterprise-ready while preventing data leaks and enforcing governance.
đĽ 0 minutes ago
đşđ¸ United States â Remote
â° Full Time
đ Senior
đ§ QA Engineer (Quality Assurance)
đť Ghost score 25%
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11 - 50 employees
đ¤ Artificial Intelligence
đ Cybersecurity
âď¸ SaaS
Artificial Intelligence ⢠Cybersecurity ⢠SaaS
Runlayer is a security and orchestration platform that connects AI clients, MCPs (model-connected protocols), skills, plugins, and agents to the enterprise stack with fine-grained permissions, real-time threat detection, and complete observability. It provides a centralized, secure registry, one-click deployment, and integrations with SSO/SCIM and enterprise identity providers, and can be run self-hosted or in the cloud to make AI tools enterprise-ready while preventing data leaks and enforcing governance.
⢠Own release testing and quality for Runlayer Endpoint ⢠Build and operate a physical and virtual device lab ⢠Design a scalable test strategy across platforms, configurations, clients, and product states ⢠Automate installation, enrollment, configuration, upgrade, rollback, and removal flows ⢠Test deployments through enterprise device-management platforms ⢠Validate integrations with leading AI coding clients ⢠Build agent-driven tooling that expands coverage, gathers evidence, and accelerates failure analysis ⢠Integrate automated quality signals into CI and release workflows ⢠Reproduce customer issues and turn confirmed incidents into permanent regression tests ⢠Partner with engineers to improve product diagnostics, observability, and testability ⢠Define testability and coverage standards for new platforms, clients, and features
⢠Senior-level experience owning QA automation or test infrastructure ⢠Strong engineering skills in Python and system scripting such as Bash and PowerShell ⢠Hands-on experience testing software across macOS, Windows, and Linux ⢠Experience with endpoint management, MDM, device labs, or comparable fleet orchestration ⢠Experience testing native installation, upgrades, background services, permissions, credentials, and OS configuration ⢠Strong knowledge of integration, end-to-end, stateful, and combinatorial testing ⢠Ability to distinguish product defects from infrastructure failures and flaky tests ⢠Experience building reliable CI-driven systems with useful diagnostics and test artifacts ⢠Clear technical judgment and excellent bug reporting ⢠Bonus: Experience with Intune, Jamf Pro, Kandji, SimpleMDM, Mosyle, or Workspace ONE ⢠Bonus: Experience testing endpoint-security or fleet-management products ⢠Bonus: Familiarity with MCP and AI coding clients ⢠Bonus: Experience building testing tools for AI agents ⢠Bonus: Experience with native packaging and signing on macOS, Windows, or Linux ⢠Bonus: Experience with fault injection, change-impact analysis, or combinatorial test generation
⢠Competitive salary and equity ⢠Paid vacation ⢠Paid sick leave ⢠Paid parental leave ⢠Budget for conferences, courses, and certifications in AI, enterprise software, and customer success ⢠Choice of laptop and accessories ⢠Comprehensive health, dental, and vision coverage ⢠Customer interaction opportunities with innovative companies
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