About the role
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. We’re looking for Backend Engineers to lead the design and delivery of SaaS products that are powered by data, machine learning, and AI. You’ll be the senior technical owner for one or more product areas, working across , backend, systems, and cloud infrastructure to: · Ship high-quality data/ML/AI powered features end-to-end · Integrate data/ML/AI capabilities into real customer workflows · Raise the bar on design, reliability, performance, and engineering practices across the org This is a hands-on senior role: you’ll write code, review designs, mentor senior engineers, and collaborate closely with product, design, data, and ML teams. What You’ll Do · Own the architecture and technical direction for key product areas in a multi-tenant SaaS platform. · Work with product, design, and data/ML teams to translate business problems into simple, robust technical solutions. · Drive the evolution of our system architecture (APIs, services, data flows, auth, tenancy, integrations) as the product and customer base scale. End-to-End Full-Stack Product Delivery · Build and maintain backend services and APIs (REST/GraphQL/gRPC) that power those experiences. · Deliver backend features end-to-end including data schemas and business logic. · Collaborate with UX and product to ensure responsive and delightful product experiences. Data / ML / AI Integration · Partner with data scientists and MLOps / platform teams to embed data, ML and AI capabilities into the product (recommendations, categorization, automation, routing, insights, LLM-powered workflows, etc.). · Design APIs, data contracts, and UX flows that make ML/AI features reliable, understandable, and safe for customers. · Ensure telemetry and feedback loops are in place so data/ML teams can measure performance, iterate models, and improve outcomes. · Help define and implement guardrails for AI features (fallbacks, explanations, error handling, permissions). Operational Excellence · Champion operability: monitoring, alerting, logging, and runbooks for services you own. · Lead efforts to improve performance, scalability, and resilience of critical paths (e.g., onboarding, reporting, AI-assisted workflows). · Work with security and compliance to ensure features meet