Staff Backend Engineer - AI-Driven SaaS Platform

Kaseya; Toronto; On-site; CAD 140,000 - 190,000; Full time

Job summary

Kaseya is hiring a Senior Backend Engineer (SaaS, Data & AI) in the Toronto area. You will lead backend design, APIs, and data/ML integration for multi-tenant SaaS platforms, partnering with Product, Design, and Data teams to drive scalable, high-impact features.

The role emphasizes hands-on development, system reliability, and mentoring engineers while advancing engineering standards across products. This is an opportunity to influence AI-powered IT management solutions at scale.

Qualifications

• 10+ years of software engineering experience in a production environment.
• Experience designing and building backend systems for SaaS applications.
• Experience delivering complex, user-facing features end-to-end in collaboration with Product teams.

Responsibilities

• Own the architecture and technical direction for backend systems within a multi-tenant SaaS platform.
• Design and build APIs and services (REST, GraphQL, or gRPC) to support product features and integrations.
• Deliver backend features end-to-end, including data modeling, business logic, and system integration.
• Partner with Product, Design, and Data/ML teams to translate business requirements into scalable solutions.
• Integrate data, ML, and AI capabilities into product workflows (e.g., automation, recommendations, insights).
• Improve system performance, scalability, and reliability across critical services.
• Implement monitoring, logging, and alerting to ensure operational visibility and stability.
• Lead design reviews, mentor engineers, and contribute to engineering best practices.

Skills

Backend architecture

REST/GraphQL/gRPC

Cloud platforms

AI/ML data integration

Mentoring engineers

Tools

Node.js

Java

Go

Python

Docker/Kubernetes

Job description

Kaseya is hiring a Senior Backend Engineer (SaaS, Data & AI) in the Toronto area. You will lead backend design, APIs, and data/ML integration for multi-tenant SaaS platforms, partnering with Product, Design, and Data teams to drive scalable, high-impact features.

The role emphasizes hands-on development, system reliability, and mentoring engineers while advancing engineering standards across products. This is an opportunity to influence AI-powered IT management solutions at scale.