Software Engineer

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.

Position Summary

The Senior Staff Software Engineer will provide organization-wide technical leadership for large-scale distributed systems and platform architectures, driving long-term scalability, reliability, modernization, and engineering excellence. This role will shape technical strategy across teams, lead high-impact cross-functional initiatives, advance AI-assisted development and developer productivity, and influence architecture and operational maturity without relying on direct authority.

Key Responsibilities

• Lead the design and evolution of large-scale distributed systems and platform architectures for long-term scalability and reliability across organizations.
• Define long-term technical strategy and architecture across organizational boundaries, aligning engineering direction with business goals.
• Lead adoption of AI-assisted development and connect AI initiatives to engineering effectiveness and measurable business outcomes.
• Identify high-impact technical opportunities, prioritize complex problems, and drive cross-team initiatives spanning multiple systems and domains.
• Partner with engineering, product, and business leadership on technical priorities, roadmaps, architecture decisions, and strategic initiatives.
• Drive observability, performance, reliability, operational maturity, and systemic risk mitigation across production systems.