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:

Staff 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 Staff Backend Engineer to design and deliver SaaS products powered by data, machine learning, and AI. This is a hands-on technical leadership role focused on backend systems, distributed architecture, cloud infrastructure, and AI-enabled product capabilities. You’ll partner with Product, Design, Data, ML, and Engineering teams to build scalable customer-facing features while improving reliability, performance, and engineering standards across the platform.

Roles & Responsibilities

Own architecture and technical direction for backend systems within a multi-tenant SaaS platform
Design and build backend services, APIs, integrations, and data flows that support customer-facing product experiences
Partner with Product, Design, Data, and ML teams to integrate AI and machine learning capabilities into real customer workflows
Develop APIs, data contracts, telemetry, and feedback loops that support reliable AI-powered features
Improve system scalability, reliability, observability, performance, and operational readiness across production services
Partner with Security and Compliance teams to support authentication, authorization, data privacy, and multi-tenancy requirements
Lead technical design reviews and architecture discussions across product, data, and ML initiatives
Mentor engineers and contribute to engineering standards around API design, testing, observability, and software quality

Required Qualifications

10+ years of software engineering experience building production applications
Experience designing and building backend services, APIs, and integrations using Node.js/TypeScript, Java, Go, Rust, or similar technologies
Experience owning production systems in a SaaS, cloud, or distributed systems environment
Experience integrating data, machine learning, or AI capabilities into production software systems
Experience working with cloud platforms such as AWS, Azure, or GCP

Preferred Qualifications

Experience with Python and data-related tooling such as pandas, PyTorch, or similar frameworks
Experience with relational databases, caching systems, data modeling, or data warehousing concepts
Experience exposing ML models, LLMs, or AI services through production APIs or backend workflows
Experience designing guardrails for AI features, including fallbacks, permissions, error handling, or explainability
Experience with observability, monitoring, alerting, runbooks, and incident response processes
Experience mentoring engineers or leading technical design reviews across teams
Experience using AI-assisted development tools such as GitHub Copilot or ChatGPT in development workflows

Compensation Range

The base salary ran

Senior Staff Backend Engineer at Kaseya