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.
Role Overview:
- We are looking for a Senior Backend Engineer to design and build scalable SaaS products powered by Data, ML, and AI. You will own key product areas, build high-performance backend services and APIs, and work closely with Product, Data, ML, and Engineering teams.
- This is a hands-on technical leadership role where you will write code, drive architecture, solve complex backend problems, mentor engineers, and deliver AI/ML-powered features from concept to production.
Required Skills
- 10+ years of software engineering experience with strong backend development expertise.
- Strong proficiency in Go, Java, Node.js/TypeScript, Rust, or similar backend technologies.
- Strong experience building REST, GraphQL, or gRPC APIs, backend services, and integrations.
- Experience designing scalable, distributed, and multi-tenant SaaS systems.
- Strong understanding of data modeling, relational databases, caching, and data storage.
- Proficiency in Python and familiarity with data/ML tools such as Pandas, PyTorch, or similar.
- Hands-on experience integrating ML/AI/LLM capabilities into production applications.
- Strong understanding of AWS, GCP, or Azure, containers, infrastructure, networking, and security.
- Experience with Docker/Kubernetes, CI/CD, automated testing, observability, and production systems.
- Strong understanding of authentication, authorization, data privacy, scalability, performance, and reliability.
- Proven experience owning complex technical initiatives and providing technical leadership and mentorship.
Desired Skills
- Experience building AI/ML-powered SaaS products or customer-facing AI features.
- Experience with LLM-powered workflows, recommendations, automation, categorization, or intelligent routing.