Sr. Software Engineer

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

Job summary

Kaseya is seeking a Senior/Staff Backend Engineer to lead the design and delivery of SaaS products powered by data, machine learning and AI. This hands-on role focuses on scalable backend systems, integrating ML/AI capabilities into real customer workflows, and guiding technical direction across product areas with close collaboration with Product, Design and Data teams.

You will own architecture for a multi-tenant system, build robust APIs, mentor engineers, and raise engineering standards while

Qualifications

• 10+ years of software engineering experience in production.
• Experience designing and building backend systems for SaaS apps.
• Experience delivering complex features end-to-end with Product teams.
• Experience building APIs and services (REST, GraphQL, or gRPC).
• Experience with cloud platforms (AWS, GCP, or Azure).
• Experience integrating data, ML, or AI into production systems.

Responsibilities

• Own backend architecture and direction for multi-tenant SaaS platform.
• Design APIs and services (REST/GraphQL/gRPC) to support features.
• Deliver backend features end-to-end with data modeling and logic.
• Collaborate with Product, Design, and Data/ML teams to translate requirements.
• Integrate data, ML, and AI into product workflows.
• Improve performance, scalability, and reliability of critical services.
• Implement monitoring, logging, and alerts for operational visibility.
• Lead design reviews and mentor engineers, shaping engineering standards.

Skills

Mentor engineers

Cross-functional collaboration

Architectural design

API design

Tools

Node.js

Java

Go

Python

Job description

About Kaseya

Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Our comprehensive platform helps organizations efficiently manage, secure, and automate their IT environments, driving operational efficiency and long-term business success.

Backed by Insight Partners, a leading global software investor, Kaseya has experienced sustained double-digit growth and continues to expand its global footprint. Today, Kaseya supports customers in more than 20 countries and manages over 15 million endpoints worldwide.

Founded in 2000, Kaseya was built by builders - and we're still building. We look for people who create rather than wait, who see a hard problem and lean in, and who treat challenges as raw material. At Kaseya, everyone plays a role in shaping the future of IT: whether you're in engineering, product, sales, marketing, customer support, or operations, your work helps protect, defend, and optimize IT environments across the globe.

We're building teams that grow, perform, and make an impact. If you're driven by the itch to make things better - a product, a process, a career - you'll fit right in.

At Kaseya, we don't just raise the bar. We build it.

Job Title:

Senior Backend Engineer (SaaS, Data & AI)

Why Kaseya?

Join a fast-growing company that’s transforming the IT industry. At Kaseya, you’ll have the opportunity to work with cutting-edge technology, collaborate with a dynamic team, and develop your career in a highimpact role.

Join the Kaseya growth rocket ship and see how we are #ChangingLives!

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

Additional Information

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.

Additional information
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.