Jobs at Kaseya

Build and own a rapid voice-of-customer engine that informs product discovery, roadmap prioritization, go-to-market strategy, segmentation, and senior business decisions. Conduct customer research, establish panels and access channels, synthesize qualitative and quantitative insights, manage research tools and vendors, and create scalable playbooks enabling Product and GTM teams to conduct rigorous research independently.

Build and operate backend platform services for workflow execution, identity, event routing, secrets management, authentication, authorization, and immutable auditing. Develop event-driven integrations with Kafka and Temporal, implement multi-tenant encryption and key management, own GitOps deployments and onboarding automation, secure third-party connectors, and maintain production reliability through monitoring, tracing, incident response, and root-cause remediation.

Design, build, and operate Linux-based process isolation, sandboxing, networking, and workload identity infrastructure for secure multi-tenant AI workloads. Responsibilities include developing sidecar proxies, enforcing workload boundaries, integrating attestation and key-management systems, managing secure startup sequencing, and improving platform performance, observability, reliability, and recovery. The engineer partners with Platform, Security, and Backend teams on system design and production troubleshooting.

Build and operate secure, reliable backend platform services in Go or Rust. Responsibilities include event-driven workflows with Kafka and Temporal, identity and authorization, secrets and cloud KMS integrations, multi-tenant systems, GitOps deployments, secure third-party connectors, audit infrastructure, observability, performance improvements, failure recovery, and incident response.

Shape the architecture and evolution of Java-based SaaS platforms and shared backend services. Lead complex distributed-systems initiatives across multiple teams, remain hands-on with implementation and troubleshooting, and improve scalability, reliability, observability, security, and operational readiness. Establish engineering standards for Java development, APIs, testing, CI/CD, and production operations while mentoring senior and staff engineers and partnering with Product, Security, and Architecture leaders.

Build and operate low-level Linux infrastructure for process isolation, sandboxing, network interception, credential protection, workload identity, and multi-tenant security boundaries. Responsibilities include developing transparent proxies, implementing namespaces and cgroups controls, integrating sandbox technologies and key-management services, improving reliability and observability, and collaborating with Platform, Security, and Backend Engineering teams.

Build and operate agentic AI systems for IT automation, including LLM workflows, anomaly detection, model evaluations, API integrations, durable execution, monitoring, permissions, guardrails, and auditability. The role involves production machine learning engineering, behavioral analysis, event-driven systems, workflow orchestration, and collaboration with Platform, Security, and Product teams.

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.

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.

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.

Architect and develop scalable, multi-tenant cloud-native networking and security solutions across public, private, and hybrid clouds. Build high-performance traffic management, security policy orchestration, telemetry, threat detection, observability, and cost-optimization systems. Develop production software in Go and PHP, optimize data-plane performance, integrate NGFW and SASE technologies, and guide teams through architecture and delivery.

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.

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.