Senior Backend Engineer (SaaS, Data & AI)

Kaseya Careers • Toronto, ON

1d

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

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

What This Job Offers

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