Senior Manager, Software Development Engineering in Test

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 were 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 youre in engineering product sales marketing customer support or operations your work helps protect defend and optimize IT environments across the globe.

Were building teams that grow perform and make an impact. If youre driven by the itch to make things better - a product a process a career - youll fit right in.

At Kaseya we dont just raise the bar. We build it.

Senior Manager Software Development Engineering in Test - Agent

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 organizations 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

• Bachelors degree in Computer Science Software Engineering or a 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 operating-system-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 software testing and engineering productivity initiatives.

Success in This Role

In your first year you will:

• Build and scale a high-performing SDET organization.
• Increase automated test coverage across endpoint and SaaS platform capabilities.
• Improve release quality stability and deployment confidence.
• Establish modern AI-assisted quality engineering practices.
• Strengthen collaboration between Engineering Product Operations and Support teams.
• Create measurable improvements in quality metrics defect prevention and engineering productivity.

Additional information
Kaseya provides equal employment opportunity to all employees and applicants without regard to race religion age ancestry gender sex sexual orientation national origin citizenship status physical or mental disability veteran status marital status or any other characteristic protected by applicable law.