Platform Backend Engineer (Go, Distributed Systems & Event Streaming)

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.

Platform Backend Engineer (Go, Distributed Systems & Event Streaming)

We're hiring Platform Backend Engineers to build and operate the distributed systems powering event processing, workflow execution, and shared services across Kaseya's platform. This is a hands-on engineering role focused on Go, Kubernetes, event-driven architecture, and production reliability. You'll work on high-throughput event pipelines, reliable messaging, and backend services that support automation and AI-enabled workflows across multiple products.

• Experience building and operating production backend services using Go

• Experience designing event-driven or streaming systems using Kafka, Numaflow, Flink, or similar technologies

• Experience developing distributed systems that handle retries, idempotency, ordering, backpressure, and failure recovery

• Experience building or operating containerized services using Kubernetes in production

• Experience troubleshooting production distributed systems, including performance, observability, and reliability issues

• Experience with Numaflow, Apache Flink, Kafka Streams, or other distributed stream-processing platforms

• Experience building Kubernetes-native platforms, operators, or custom controllers

• Experience with Temporal or another durable workflow orchestration platform

• Experience with multi-tenant SaaS platforms, identity, authorization, or secrets management

• Experience with event ingestion, CDC, data pipelines, or real-time processing infrastructure

• Experience with GitOps, Terraform, CI/CD, or cloud-native infrastructure automation

• Experience with ClickHouse, analytical data stores, or event-driven audit systems

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