Overview
Lead SDET and automation engineering teams responsible for quality strategy, test architecture, automated validation, and reliable delivery across endpoint management and enterprise SaaS platforms.
What you'll do
- Lead and develop SDET, automation engineering, and technical leadership teams.
- Define quality engineering strategy, automation roadmaps, standards, metrics, and governance.
- Build scalable automation for functional, integration, regression, performance, resiliency, and system validation.
- Oversee validation of endpoint agents, management workflows, operating systems, and SaaS releases.
- Partner with engineering, product, support, operations, and security teams on delivery and quality risks.
- Drive architecture reviews, root-cause analysis, troubleshooting, and testability improvements.
- Adopt AI-assisted tools for test generation, code analysis, debugging, and coverage expansion.
What you'll need
- Bachelor's degree in Computer Science, Software Engineering, a related technical discipline, or equivalent practical experience.
- At least 6 years of software engineering, SDET, quality engineering, or automation engineering experience.
- At least 2 years managing software engineering, SDET, or QA automation teams.
- Experience building and scaling test automation frameworks and validation platforms.
- Software development experience with C#, Java, Kotlin, or related languages.
- Deep knowledge of Windows, Linux, or macOS operating systems and internals.
- Experience with SaaS or distributed systems and Agile, DevOps, CI/CD, testing, and release practices.
Nice to have
- Experience with endpoint management, RMM, security, MDM, UEM, or device management platforms.
- Experience testing endpoint agents, systems software, device drivers, or security software.
- Familiarity with Intune, Apple MDM, Android Enterprise, Linux device management, PowerShell, Bash, or Python.
- Experience with virtualization, lab automation, device provisioning, security, performance, resiliency, or reliability testing.
- Experience driving AI adoption in software development and testing.
Details
Read the full description and apply on the company’s own careers page.