Senior Backend Engineer (SaaS, Data & AI) at Kaseya · Toronto

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 has built a culture centered around innovation, accountability, and results. We are a high-growth, high-performance organization that values individuals who are driven, adaptable, and committed to delivering exceptional outcomes for our customers and teammates alike. At Kaseya, success comes from embracing challenges, moving with urgency, and continuously raising the bar. 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.