Software Engineer

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 was built by builders - and we're still building. We look for people who create rather than wait, who see a hard problem and lean in, and who treat challenges as raw material. At Kaseya, everyone plays a role in shaping the future of IT: whether you're in engineering, product, sales, marketing, customer support, or operations, your work helps protect, defend, and optimize IT environments across the globe.

We're building teams that grow, perform, and make an impact. If you're driven by the itch to make things better - a product, a process, a career - you'll fit right in.

At Kaseya, we don't just raise the bar. We build it.

Job Summary

The Sr. Staff Software Engineer - Cloud Native and SASE focused will lead the design and implementation of a cloud-native, multi-tenant SASE solution and its interaction with a globally distributed customer network. This is a hands-on architecture role responsible for defining how customer traffic is managed across regions and gateways, while shaping scalable, resilient, and cost-efficient platform capabilities. The role is critical to delivering production-grade distributed systems that improve performance, availability, multi-tenancy, and operational efficiency.

Roles & Responsibilities

• Lead the architecture and technical design of SASE control-plane services that manage tenant configuration, policy, routing, lifecycle, and per-tenant usage across regions.
• Define and implement orchestration patterns for configuration, telemetry, and lifecycle management across a distributed gateway fleet.
• Design scalable and highly available cloud-native systems that support dynamic gateway scaling, failover, multi-AZ deployment, and multi-region traffic management.
• Evaluate and design multi-tenancy models, including siloed, pooled, containerized, and hybrid approaches, with clear trade-off analysis across scale, isolation, performance, and cost.
• Partner closely with data-plane teams to define APIs, traffic flows, and policy enforcement mechanisms for tunnels, routing, roaming, private-network connectivity, and gateway interactions.