Principal Software Engineer

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. 

We’re hiring a Principal Software Engineer to provide technical leadership across enterprise SaaS platforms and strategic engineering initiatives. This role focuses on Java-based platform architecture, distributed systems, and cloud-native services that support large-scale business-critical applications. You will partner with Engineering, Product, Security, and Architecture leaders to drive technical strategy, guide platform evolution, and deliver secure, scalable, and highly available software across multiple products and teams.

• 12+ years of software engineering experience building SaaS applications, distributed systems, or enterprise software platforms
• 8+ years of experience developing production applications using Java
• Experience leading architecture and technical strategy across multiple teams or product areas
• Experience designing and operating distributed systems in cloud environments
• Experience driving technical standards, architecture reviews, and engineering best practices across an organization

• Experience with Java ecosystem technologies such as Spring Boot, Spring Cloud, Hibernate, Kafka, or similar frameworks
• Experience working with AWS, Azure, or GCP
• Experience with relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle
• Experience leading platform modernization, cloud transformation, or large-scale architecture initiatives
• Experience working with cloud-native architectures, microservices, and event-driven systems
• Experience integrating AI-enabled capabilities into production software systems
• Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT) in engineering workflows