Staff Backend Engineer

Kaseya Careers • Toronto, ON

3h • CA$210,000 - CA$250,000

About The Position

We’re hiring a Staff Backend Engineer to help design and deliver SaaS products powered by data, machine learning, and AI. This is a hands-on engineering role focused on building scalable backend systems, integrating ML/AI capabilities into customer workflows, and improving system reliability and performance across the platform. You’ll work closely with Product, Design, Data, and Engineering teams to deliver production-ready features while contributing to architecture decisions, engineering standards, and technical mentorship across teams.

Requirements

• 8+ years of software engineering experience in a production environment
• Experience designing and building backend systems for SaaS applications
• Experience building APIs and backend services using technologies such as Node.js, Java, Go, Rust, or similar
• Experience integrating data, ML, or AI capabilities into production systems
• Experience working with cloud platforms (AWS, GCP, or Azure) and distributed systems

Nice To Haves

• Experience with Python and data-related tooling (e.g., pandas, PyTorch)
• Experience working with relational databases, caching systems, or data warehousing concepts
• Familiarity with ML/AI systems, including model integrations or LLM-powered workflows
• Experience with containers and cloud infrastructure technologies
• Experience improving monitoring, observability, and operational tooling
• Experience mentoring engineers or contributing to technical design reviews
• Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT) in development workflows

Responsibilities

• Design, build, and maintain backend services and APIs for a multi-tenant SaaS platform
• Deliver backend features end-to-end, including APIs, business logic, integrations, and data models
• Partner with Product, Design, and Data/ML teams to integrate ML and AI capabilities into customer workflows
• Improve system scalability, reliability, monitoring, and operational performance across production services
• Contribute to architecture decisions related to APIs, distributed systems, authentication, and integrations
• Participate in incident response, troubleshooting, and production support for critical services
• Lead code reviews, mentor engineers, and contribute to engineering standards and best practices

Benefits

• Certain roles are eligible for benefits and additional rewards.
• These rewards are allocated based on individual impact in role.
• Certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee’s role.

What This Job Offers

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