Manager, Software Development Engineering in Test

About this role

About Kaseya

Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Our comprehensive platform helps organizations efficiently manage, secure, and automate their IT environments, driving operational efficiency and long-term business success.

Backed by Insight Partners, a leading global software investor, Kaseya has experienced sustained double-digit growth and continues to expand its global footprint. Today, Kaseya supports customers in more than 20 countries and manages over 15 million endpoints worldwide.

Founded in 2000, Kaseya was built by builders - and we're still building. We look for people who create rather than wait, who see a hard problem and lean in, and who treat challenges as raw material. At Kaseya, everyone plays a role in shaping the future of IT: whether you're in engineering, product, sales, marketing, customer support, or operations, your work helps protect, defend, and optimize IT environments across the globe.

We're building teams that grow, perform, and make an impact. If you're driven by the itch to make things better - a product, a process, a career - you'll fit right in.

At Kaseya, we don't just raise the bar. We build it.

Senior Manager, Software Development Engineering in Test - Backend

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.

This leader will be responsible for managing SDET and automation engineering teams, driving quality strategy, defining test architecture, expanding automated validation capabilities, and ensuring the delivery of secure, scalable, and highly reliable software.

The ideal candidate combines strong engineering leadership with deep experience in software testing, automation frameworks, operating systems, endpoint technologies, and large-scale SaaS platforms. This role requires a hands-on technical leader capable of influencing engineering quality across the entire software development lifecycle while leveraging modern AI-powered development and test automation techniques.

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.

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related…