Senior Staff Software Engineer - 260421-5

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.

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.

• →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 technical debt, modernizing legacy systems, and improving platform architecture across the organization.
• →Develop and promote shared platform capabilities, services, tooling, and engineering practices that improve developer productivity and system consistency.
• →Mentor senior and staff engineers, influence technical direction, and promote a culture of engineering excellence, continuous improvement, and high-quality system design.

• Bachelor’s degree in computer science, Software Engineering, or a related field, or equivalent practical experience.
• 10+ years of professional software engineering experience, with demonstrated experience driving technical strategy and architecture across multiple teams or organizational domains.
• Deep experience designing, building, and evolving large-scale distributed systems, platform architectures, and cloud-based production environments.
• Strong hands-on experience with public cloud platforms such as AWS, Azure, or GCP, including cloud-native architecture, scalability, reliability, security, and cost optimization.
• Proven ability to navigate complex and ambiguous environments, influence technical stakeholders, and drive alignment and execution across teams without direct authority.

• Experience with .NET full-stack and API development across frontend and backend technologies, with proficiency in Rust, C#, and/or JavaScript.
• Extensive experience with distributed systems, microservices, Docker, Kubernetes, serverless architectures, and infrastructure-as-code tools such as Terraform, Pulumi, or Bicep.
• Deep expertise in observability, monitoring, distributed tracing, incident response, reliability engineering, and operational excellence.
• Experience with modern authentication and authorization technologies, including OAuth 2.0, OIDC, and SAML, as well as secure coding and security architecture practices.
• Strong knowledge of CI/CD, automated testing, progressive deployment strategies, and modern software delivery practices.
• Experience with relational and non-relational databases and the architectural considerations involved in designing systems at scale.
• Demonstrated experience driving engineering productivity, platform improvements, technical modernization, and AI adoption across multiple teams or organizational domains.