Senior Backend Engineer (SaaS, Data & AI) Toronto, Ontario

Kaseya Limited; Toronto; On-site; CAD 100,000 - 150,000; Full time

Job summary

Kaseya Limited is seeking a Senior Backend Engineer in Toronto, Ontario, to lead the design and delivery of SaaS products utilizing data, machine learning, and AI. This hands-on role involves building scalable backend systems and collaborating with cross-functional teams to implement high-impact features. Ideal candidates should have over 10 years of software engineering experience, with a strong background in APIs, cloud platforms, and product development. The position offers a challenging environment and opportunities for mentorship.

Qualifications

• 10+ years of software engineering experience in a production environment.
• Experience delivering complex, user-facing features end-to-end in collaboration with Product teams.
• Experience working with data, ML, or AI capabilities in production systems.

Responsibilities

• Own the architecture and technical direction for backend systems within a multi-tenant SaaS platform.
• Design and build APIs and services to support product features and integrations.
• Improve system performance, scalability, and reliability across critical services.

Skills

Software engineering experience

Backend systems for SaaS applications

Building APIs and services

Working with cloud platforms

Integrating data, ML, or AI

Tools

Node.js

Java

Python

AWS

GCP

Azure

Job description

Job Title:

Senior Backend Engineer (SaaS, Data & AI)

Job Summary

We’re hiring a Senior / Staff Backend Engineer to lead the design and delivery of SaaS products powered by data, machine learning, and AI. This is a hands‑on role focused on building scalable backend systems, integrating ML/AI capabilities into real customer workflows, and driving technical direction across product areas. You’ll work closely with Product, Design, and Data teams to deliver reliable, high‑impact features and improve engineering standards across the organization.

Roles & 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

Required 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
• Experience building APIs and services (REST, GraphQL, or gRPC)
• Experience working with cloud platforms (AWS, GCP, or Azure)
• Experience integrating data, ML, or AI capabilities into production systems

Preferred Qualifications

• Experience with backend languages such as Node.js, Java, Go, or similar
• Experience with Python and data‑related tooling (e.g., pandas, ML frameworks)
• Familiarity with data modeling, relational databases, and caching strategies
• Understanding of ML/AI systems, including model integration and common failure modes
• Experience working with containers and distributed systems
• Experience mentoring engineers and contributing to engineering standards

Equal Employment Opportunity

Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.