Staff Software Engineer

Kaseya Careers • Toronto, ON

18d

About The Position

We’re hiring a Principal Software Engineer to guide the design and evolution of large-scale platform systems across Kaseya’s engineering organization. This role focuses on distributed systems, cloud-native architecture, platform reliability, and the adoption of AI-assisted engineering practices that improve developer productivity and product quality. You will work across multiple teams to shape technical direction, modernize systems, reduce technical debt, and deliver scalable, reliable software platforms.

Requirements

• 8+ years of software engineering experience building production applications or platform services
• Experience leading technical design or architecture decisions across multiple teams or services
• Experience designing and operating distributed systems in cloud environments using AWS, Azure, or GCP
• Experience building full-stack applications, APIs, or platform services using Rust, C#, JavaScript, or similar technologies
• Experience supporting production systems, including observability, incident response, root cause analysis, and reliability improvements

Nice To Haves

• Experience with authentication and authorization technologies such as OAuth 2.0, OIDC, or SAML
• Experience with containerization and orchestration technologies such as Docker and Kubernetes
• Experience with infrastructure-as-code tools such as Terraform, Pulumi, or Bicep
• Experience with CI/CD pipelines, automated testing, and progressive deployment strategies
• Experience with relational and non-relational data stores and related architecture trade-offs
• Experience leading secure coding, threat modeling, or vulnerability remediation initiatives
• Experience introducing AI-assisted development tools or workflows across engineering teams

Responsibilities

• Lead the design and evolution of large-scale distributed systems and platform architectures
• Define technical direction across teams for scalability, reliability, maintainability, and operational excellence
• Drive adoption of AI-assisted development practices that improve engineering velocity, code quality, and delivery outcomes
• Partner with Product and Engineering leadership to shape technical priorities, roadmap decisions, and platform modernization efforts
• Lead architecture discussions, design reviews, code reviews, and technical planning across multiple teams
• Improve observability, monitoring, incident response, and reliability practices across production systems
• Identify systemic technical issues, reduce technical debt, and guide re-platforming or modernization initiatives
• Mentor engineers and technical leads through architectural guidance, technical feedback, and engineering best practices

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: No Education Listed