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Staff UI Engineer

Confirmed live in the last 24 hours

Kaseya

Kaseya

India - Remote
Remote
Posted April 24, 2026

Job Description

Kaseya® is the leading provider of complete IT infrastructure and security management solutions for Managed Service Providers (MSPs) and internal IT organizations worldwide powered by AI. Kaseya’s best-in-breed technologies allow organizations to efficiently manage and secure IT to drive sustained business success. Kaseya has achieved sustained, strong double-digit growth over the past several years and is backed by Insight Venture Partners www.insightpartners.com), a leading global private equity firm investing in high-growth technology and software companies that drive transformative change in the industries they serve.

Founded in 2000, Kaseya currently serves customers in over 20 countries across a wide variety of industries and manages over 15 million endpoints worldwide. To learn more about our company and our award-winning solutions, go to www.Kaseya.com and for more information on Kaseya’s culture.

Kaseya is not your typical company. We are not afraid to tell you exactly who we are and our expectations. The thousands of people that succeed at Kaseya are prepared to go above and beyond for the betterment of our customers.

Role Summary 

  • Kaseya is seeking a Staff UI Engineer to build polished, high-performance user experiences leveraging our Unified Data Platform, Analytics, Portal, and BI capabilities. You’ll work on customer-facing web applications and embedded analytics experiences—turning complex data workflows into intuitive, fast, and reliable interfaces. You’ll collaborate closely with product, design, and backend teams to deliver UI features that scale across the Kaseya platform. 

Key Responsibilities 

  • Build and maintain modern web UIs for analytics, portal, and BI experiences using a component-driven approach. 
  • Partner with product and design to translate requirements into accessible, responsive, and elegant interfaces. 
  • Develop robust state management patterns for complex workflows and data-heavy screens. 
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