Jobs at Kaseya

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.

Lead and develop engineering teams building enterprise SaaS products and platform services. Drive technical execution, architecture reviews, CI/CD, automated testing, observability, security, production operations, incident response, and mentor engineers while partnering with Product and Architecture to deliver scalable, reliable software.

Lead multiple engineering teams delivering enterprise SaaS products and platform capabilities. Set engineering strategy, drive organizational planning, improve delivery processes and metrics, ensure secure and scalable cloud/hybrid systems, partner with Product, Architecture, Security, and Exec teams, and oversee hiring, succession, and performance improvements.

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.

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.

Design, build, and operate large-scale real-time and batch data pipelines. Improve data quality, reliability, observability, and performance. Partner with product and analytics teams, lead architecture decisions, and support production incidents and optimization.

Architect and implement multi-tenant, cloud-native networking and security solutions (NGFW, SASE) across public, private, and hybrid clouds. Optimize traffic steering, policy orchestration, telemetry, analytics, egress/gateway costs, and performance. Build high-performance data-plane components and cloud automation, write and review code, and guide teams to deliver production systems.

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 multi-year product vision and roadmap for IT Complete; own complex cross-team initiatives; translate customer and business needs into product specs; partner with Engineering and GTM teams; set KPIs; influence executives; mentor product managers; drive customer-centric, scalable SaaS solutions.

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 DevOps Engineer will work on product development, ensuring smooth operations of systems, and improving CI/CD workflows while addressing security vulnerabilities and system health monitoring.

As a Principal Software Engineer, you will lead the architectural evolution of identity systems, manage IAM services, and collaborate across teams to ensure secure, scalable applications at Kaseya.

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.

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.