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Kaseya is seeking a Senior Manager of Software Development Engineering in Test (SDET) to lead quality engineering and test automation efforts supporting endpoint management, device management, and enterprise SaaS platform solutions.
You will manage SDET and automation engineering teams, drive quality strategy, define test architecture, expand automated validation capabilities, and ensure delivery of secure, scalable, and highly reliable software. This is a hands-on technical leadership role combining engineering expertise with people management.
Key responsibilities include:
**Leadership & Team Management**: Lead and manage teams of SDETs, automation engineers, and technical leads. Build, mentor, and develop engineering talent while fostering accountability, quality ownership, innovation, and continuous improvement. Drive hiring, onboarding, career development, and performance management. Establish quality engineering best practices, standards, and metrics.
**Quality Strategy & Execution**: Define and execute the organization's quality engineering vision, test automation roadmap, and validation strategy. Partner with Engineering, Product, Support, Operations, and Security teams. Drive improvements across Agile delivery, DevOps, CI/CD, automated testing, and release readiness. Create measurable quality objectives and reporting mechanisms for senior leadership.
**Test Automation & Platform Validation**: Lead design, development, and maintenance of scalable automation frameworks supporting functional, integration, regression, performance, and system-level validation. Oversee automated validation of endpoint agents, management workflows, patching, monitoring, and communications. Build reusable infrastructure for Windows, macOS, Linux, and mobile environments. Drive large-scale regression testing strategies.
**Operating Systems & Endpoint Technologies**: Ensure validation of endpoint agent behavior across supported operating systems and major versions. Oversee testing for OS upgrades, endpoint recovery, disconnected operations, and device lifecycle management. Validate interoperability with OS services, security frameworks, and device management technologies including Microsoft Intune, Apple MDM, Android Enterprise, and Linux platforms.
**Technical Leadership**: Participate in architecture and design reviews. Partner with engineering teams to identify testability improvements and quality risks early. Drive root-cause analysis for production issues and implement automated safeguards. Support troubleshooting through log analysis, telemetry, and distributed system investigation.
**AI-Powered Quality Engineering**: Champion adoption of AI coding assistants and automation tools. Leverage AI for test generation, code analysis, debugging, and coverage expansion. Establish best practices for validating AI-generated test assets. Drive continuous innovation in AI-assisted quality practices.
In your first year, you will build and scale a high-performing SDET organization, increase automated test coverage, improve release quality and stability, establish modern AI-assisted quality engineering practices, strengthen cross-team collaboration, and create measurable improvements in quality metrics and engineering productivity.
**Requirements**
- Bachelor's degree in Computer Science, Software Engineering, or related technical discipline, or equivalent practical experience
- 8+ years of software engineering, SDET, quality engineering, or automation engineering experience
- 4+ years of experience managing software engineering, SDET, or QA automation teams
- Strong experience building and scaling test automation frameworks and engineering validation platforms
- Solid software development experience using C#, Java, Kotlin, or related programming languages
- Deep understanding of at least one major operating system platform: Windows, Linux, or macOS
- Strong knowledge of operating system internals including processes, services/daemons, filesystems, networking, security models, and privilege management
- Experience supporting enterprise SaaS platforms, distributed systems, cloud-native applications, or endpoint management products
- Strong understanding of Agile development methodologies, DevOps practices, CI/CD, automated testing, deployment automation, and release management
- Proven experience partnering with cross-functional teams to drive successful software delivery
**Preferred Qualifications**
- Experience leading quality engineering organizations supporting enterprise endpoint management, RMM, security, MDM, UEM, or device management platforms
- Experience testing endpoint agents, systems software, device drivers, security software, or OS-level components
- Hands-on experience with virtualization technologies, lab automation, large-scale automated testing environments, and device provisioning systems
- Familiarity with Microsoft Intune, Apple MDM, Android Enterprise, Linux device management, or similar endpoint technologies
- Experience with PowerShell, Bash, Python, and operating system automation tools
- Strong understanding of application security testing, performance testing, resiliency testing, and reliability engineering
- Ability to understand deeply interconnected systems from a systems architecture perspective
- Proven ability to translate business priorities and product roadmap objectives into scalable quality engineering execution plans
- Excellent communication, stakeholder management, prioritization, and decision-making skills
- Experience driving AI adoption within software development, testing, and engineering productivity initiatives
