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Kaseya is a leading provider of AI-powered IT management and cybersecurity software serving Managed Service Providers (MSPs) and internal IT organizations globally. The company, founded in 2000 and backed by Insight Partners, manages over 15 million endpoints worldwide and operates in more than 20 countries.
As a Staff Software Engineer, you will provide technical leadership across teams by designing and evolving large-scale systems and architectures for scalability, reliability, and maintainability. This is a high-impact individual contributor role focused on shaping technical strategy and driving organizational engineering excellence.
Key responsibilities include:
- Leading the design and evolution of large-scale distributed systems and architectures to support long-term scalability, reliability, and maintainability
- Defining and guiding technical vision and strategy across teams, aligning engineering efforts with product and organizational goals
- Partnering with engineering and product leadership to shape technical priorities and influence roadmap decisions
- Influencing technical direction across multiple teams through architecture, design patterns, code reviews, and best practices
- Driving resolution of complex technical issues, root cause analysis, observability improvements, and systemic reliability initiatives
- Leading technical-debt reduction and modernization efforts, including re-platforming strategies across teams
- Championing adoption of AI-assisted development practices to improve engineering velocity, product quality, and business outcomes
- Providing technical mentorship and collaborating with cross-functional teams including Support, QA, Design, Documentation, and Product Management
Required qualifications include a B.S. in Computer Science or equivalent practical experience, 8+ years of professional software engineering with demonstrated technical leadership on complex cross-team initiatives, strong computer science fundamentals (data structures, algorithms, design patterns), deep experience designing large-scale distributed and high-performance systems, and hands-on production experience with AWS, GCP, or Azure.
Preferred qualifications include .NET full-stack and API development experience, proficiency in Rust, C#, or JavaScript, experience with microservices architectures, Docker, and Kubernetes, cloud-native infrastructure and serverless architectures, modern authentication mechanisms (OAuth 2.0, OIDC, SAML), strong testing, CI/CD, observability, monitoring, and reliability engineering experience at scale, and expertise in secure coding practices and threat modeling.
