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

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.