opengreenhousembaexchange
Staff Software Engineer
Kaseya
LocationToronto, Ontario, Canada - Remote
WorkplaceFull
Last observed2026-06-13 05:25:19.745113
Job idmbaexchange-kaseya:greenhouse:5824998004
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 has built a culture centered around innovation, accountability, and results. We are a high-growth, high-performance organization that values individuals who are driven, adaptable, and committed to delivering exceptional outcomes for our customers and teammates alike. At Kaseya, success comes from embracing challenges, moving with urgency, and continuously raising the bar. Responsibilities Leading the design and evolution of large-scale systems and architectures to support long-term scalability, reliability, and maintainability across the platform. Leading the adoption of AI-assisted development practices across teams, identifying where AI creates meaningful leverage, and connecting those capabilities directly to engineering velocity, product quality, and measurable business outcomes. Defining and guiding the technical vision and strategy across teams, aligning engineering efforts with long-term product and organizational goals. Partnering with engineering and product leadership to shape technical priorities and influence roadmap decisions. Navigating ambiguous problem spaces, defining technical approaches, and driving clarity and alignment across teams. Influencing technical direction across multiple teams by leading alignment on architecture, design patterns, and best practices. Providing guidance through code reviews and technical feedback to ensure high standards for code quality, maintainability, and design. Driving resolution of complex technical issues and identifying systemic patterns to prevent recurrence. Ensuring system health, availability, and reliability by driving improvements in observability, monitoring, and operational practices. Leading the strategy for reducing technical debt and modernizing existing systems, including defining re-platforming approaches and driving execution across teams. Guiding the development of tooling and platform improvements to enhance developer productivity and engineering efficiency across teams. Maintaining and promoting shared architectural knowledge of platform features and system evolution. Providing technical leadership and mentorship to engineers across teams to deliver high-quality software solutions. Communicating with cross-functional teams, including but not limited to Technical Support, QA, Design, Documentation, and Product Management. Acting as an agent of change by identifying gaps in processes and advocating for improvements that increase team efficiency and product quality. Promoting a culture of engineering excellence through mentorship, technical guidance, and leading by example. Requirements B.S. in Computer Science, Software Engineering, or a related field, or equivalent practical experience. 8+ years of professional software engineering experience, with a demonstrated track record of technical leadership across complex, cross-team initiatives. Strong computer science fundamentals, including data structures, algorithms, and industry-standard design patterns and practices. Deep experience designing and evolving large-scale distributed, high-performance systems and architectures. Strong hands-on experience designing, deploying, and operating production applications on public cloud platforms (AWS, GCP, or Azure), including practical knowledge of cloud-native services across compute, storage, networking, and managed data with a
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