Manager, Software Development Engineering in Test

Position Summary

Kaseya is seeking a Senior Manager, Software Development Engineering in Test (SDET) to lead our quality engineering and test automation organization supporting endpoint management, device management, and enterprise SaaS platform solutions.

Key Responsibilities

Leadership & Team Management

• Lead and manage teams of SDETs, automation engineers, and technical leads responsible for delivering high-quality software and platform capabilities.
• 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 activities across the quality engineering organization.
• 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 closely with Engineering, Product Management, Support, Operations, and Security teams to ensure successful delivery of roadmap initiatives.
• Drive engineering process improvements across Agile delivery, DevOps, CI/CD, automated testing, deployment automation, release readiness, and quality governance.
• Create measurable quality objectives and reporting mechanisms to communicate risks, trends, coverage, and release readiness to senior leadership.

Test Automation & Platform Validation

• Lead the design, development, and maintenance of scalable automation frameworks supporting functional, integration, regression, performance, resiliency, and system-level validation.
• Oversee automated validation of endpoint agents, endpoint management workflows, patching, monitoring, remote actions, scripting, inventory collection, policy execution, and agent communications.
• Build reusable automation infrastructure capable of validating software across Windows, macOS, Linux, and mobile environments.
• Drive large-scale automated regression testing strategies supporting enterprise endpoint management and SaaS platform releases.

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 scenarios, disconnected operations, self-healing capabilities, and device lifecycle management.
• Validate interoperability with operating system services, security frameworks, APIs, device management technologies, and endpoint security solutions.
• Support testing initiatives involving Microsoft Intune, Apple MDM, Android Enterprise, and Linux device management platforms.

Technical Leadership

• Participate in architecture reviews, design reviews, and technical planning to ensure solutions meet standards for security, scalability, reliability, observability, and maintainability.
• Partner with engineering teams to identify testability improvements and quality risks early in the development lifecycle.
• Drive root-cause analysis efforts for complex production issues and implement automated safeguards to prevent recurrence.
• Support troubleshooting efforts through log analysis, telemetry, debugging, endpoint diagnostics, and distributed system investigation.

AI-Powered Quality Engineering

• Champion the adoption of AI coding assistants and automation tools throughout the quality engineering lifecycle.
• Leverage AI technologies for test generation, code analysis, debugging, coverage expansion, and engineering productivity improvements.
• Establish best practices for validating AI-generated test assets and automation solutions.
• Drive continuous innovation in AI-assisted software quality practices across engineering teams.