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Senior Staff Software Engineer - 260421-5

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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 technical leadership in designing and evolving large-scale, distributed systems and platform architectures across multiple teams and organizational domains. This role will drive long-term technical strategy, architectural modernization, AI-enabled engineering practices, and platform capabilities while improving system reliability, scalability, developer productivity, and business outcomes.

Key Responsibilities

  • Lead the design and evolution of large-scale, distributed systems and platform architectures to ensure long-term scalability, reliability, and extensibility.
  • Define and guide technical strategy and architecture across multiple teams, aligning engineering priorities with business objectives and product goals.
  • Drive the adoption of AI-assisted development practices and AI-enabled capabilities to improve engineering effectiveness, product innovation, and measurable business outcomes.
  • Lead complex, cross-functional initiatives spanning multiple systems and domains while driving technical alignment and successful execution.
  • Identify, communicate, and mitigate systemic technical risks while advancing system reliability, observability, performance, and operational maturity.
  • Define and drive strategies for reducing tech