Jobs at Kaseya

Lead architecture and development of a centralized IAM platform: design authentication/authorization, governance, RBAC/ABAC, multi-tenant support, APIs and integrations, drive platform adoption, ensure security and compliance, and mentor engineers.

The Senior Staff Engineer at Kaseya is responsible for architecting scalable Java applications, optimizing AWS cloud solutions, and providing technical leadership and mentorship while solving complex problems in a collaborative team environment.

Provide technical leadership and architecture direction for enterprise SaaS platforms and distributed systems. Lead cross-team initiatives, drive scalability, reliability, security, observability, and platform modernization. Influence technical strategy, run architecture and design reviews, reduce technical debt, and mentor senior engineering staff.

Design, build, and scale IAM platform services and APIs for authentication, authorization, identity lifecycle, access governance, and compliance. Integrate identity providers and authorization systems, improve scalability and observability, design machine and service authentication, participate in architecture reviews, and mentor engineers.

Architect and implement multi-tenant, cloud-native networking and security solutions across public, private, and hybrid clouds. Build high-performance traffic steering, policy orchestration, telemetry/analytics, and cost-optimized egress/gateway systems. Hands-on coding, code review, and technical leadership for Go and PHP backend networking components and fast-path dataplane technologies.

Lead multi-year product vision and strategy for IT management and cybersecurity SaaS products. Drive cross-functional initiatives, define roadmaps, translate customer needs into requirements, set KPIs, influence executives, and support go-to-market and adoption while mentoring other product managers.

Lead design and evolution of large-scale, distributed systems; drive AI-assisted development adoption; define technical vision; mentor engineers; improve observability, reliability, testing, security, and developer productivity across teams.

The Senior Backend Engineer will design and build scalable backend systems for SaaS products, integrate ML/AI capabilities, and lead technical direction across product areas.

Lead architecture and hands-on implementation of a cloud-native, multi-tenant SASE control plane and orchestration for globally distributed gateways. Design scalable, resilient multi-region systems, define multi-tenancy models and APIs, partner with data-plane teams, establish CI/CD and IaC standards, mentor engineers, and optimize platform cost and operational efficiency.

The Senior Staff Applied ML Engineer will lead ML modeling and data analysis, mentor teams, and integrate AI-driven features and workflows across multiple products.

Lead the design and delivery of SaaS products powered by data, ML, and AI, collaborating across backend, systems, and cloud infrastructure. Drive architecture evolution, ensure operability and performance, and mentor engineering teams.