Senior Backend Engineer - SaaS, Data & AI

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 platformDesign and build APIs and services (REST, GraphQL, or gRPC) to support product features and integrationsDeliver backend features end-to-end, including data modeling, business logic, and system integrationPartner with Product, Design, and Data/ML teams to translate business requirements into scalable solutionsIntegrate data, ML, and AI capabilities into product workflows (e.g., automation, recommendations, insights)Improve system performance, scalability, and reliability across critical servicesImplement monitoring, logging, and alerting to ensure operational visibility and stabilityLead design reviews, mentor engineers, and contribute to engineering best practices Required Qualifications 10+ years of software engineering experience in a production environmentExperience designing and building backend systems for SaaS applicationsExperience delivering complex, user-facing features end-to-end in collaboration with Product teamsExperience 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 similarExperience with Python and data-related tooling (e.g., pandas, ML frameworks)Familiarity with data modeling, relational databases, and caching strategiesUnderstanding of ML/AI systems, including model integration and common failure modesExperience working with containers and distributed systemsExperience 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.