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Kaseya is seeking a Senior Manager, Software Development Engineering in Test (SDET) to lead the quality engineering and test automation organization 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 requiring deep experience in software testing, automation frameworks, operating systems, endpoint technologies, and large-scale SaaS platforms.
Key responsibilities include:
**Leadership & Team Management:** Lead and manage teams of SDETs, automation engineers, and technical leads. Build, mentor, coach, and develop engineering talent while fostering a culture of accountability, quality ownership, urgency, innovation, and continuous improvement. Drive hiring, onboarding, career development, and performance management. Establish quality engineering best practices, standards, metrics, and operational excellence initiatives.
**Quality Strategy & Engineering Execution:** Define and execute the organization's quality engineering vision, test automation roadmap, and validation strategy. Partner with Engineering, Product Management, Support, Operations, and Security teams. Drive improvements across Agile delivery, DevOps, CI/CD, automated testing, deployment automation, release readiness, and quality governance. Create measurable quality objectives and reporting mechanisms.
**Test Automation & Platform Validation:** Lead design, development, and maintenance of scalable automation frameworks supporting functional, integration, regression, performance, resiliency, and system-level validation. Oversee automated validation of endpoint agents, workflows, patching, monitoring, remote actions, scripting, inventory collection, policy execution, and agent communications. Build reusable automation infrastructure for Windows, macOS, Linux, and mobile environments. Drive large-scale automated regression testing strategies.
**Operating Systems & Endpoint Technologies:** Ensure validation of endpoint agent behavior across supported operating systems and major platform versions. Oversee testing strategies for OS upgrades, endpoint recovery, disconnected operations, self-healing capabilities, and device lifecycle management. Validate interoperability with OS services, security frameworks, APIs, device management technologies, and endpoint security solutions. Support testing for Microsoft Intune, Apple MDM, Android Enterprise, and Linux device management.
**Technical Leadership:** Participate in architecture reviews, design reviews, and technical planning. Partner with engineering teams to identify testability improvements and quality risks early. Drive root-cause analysis for complex production issues and implement automated safeguards. Support troubleshooting through log analysis, telemetry, debugging, 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, coverage expansion, and productivity improvements. 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-functional 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
- 6+ years of software engineering, SDET, quality engineering, or automation engineering experience
- 2+ 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
