About KaseyaKaseya 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.Senior Software Engineer – Data Platform
Location:
Toronto, CanadaWhy Kaseya?
Kaseya powers millions of endpoints and serves thousands of customers worldwide. We are building a new Data & AI Platform that will unify data across Kaseya products and enable new customer experiences, automation, analytics, and AI capabilities.We are looking for
strong backend software engineers who want to solve large-scale data problems .This is a
software engineering role within the Data & AI Platform organization.



You will design and build distributed backend services and platform infrastructure responsible for ingesting, processing, serving, and exposing data across Kaseya products.This is not a traditional ETL, BI, analytics engineering, or data warehousing role.Robust candidates typically come from backend engineering, distributed systems, infrastructure, streaming, or software-oriented data platform backgrounds.What You’ll Build
You will work on greenfield platform capabilities that sit across Kaseya’s product ecosystem.You will:Design and build
backend services, APIs, and distributed platform components
used by internal engineering teams and customer-facing productsBuild highly available services capable of processing and serving large volumes of dataDesign
event-driven and asynchronous systems
using technologies such as Kafka and other distributed messaging platformsDevelop services responsible for data ingestion, enrichment, routing, transformation, and deliveryBuild APIs and service interfaces that expose platform capabilities to other engineering teamsDesign systems that operate correctly under
concurrency, partial failures, retries, duplicate events, and high loadSolve distributed-systems problems involving:Build reusable frameworks and platform primitives that can be adopted across multiple Kaseya productsDesign service contracts, APIs, schemas,



and integration patterns between independently developed systemsImprove platform performance, scalability, reliability, and operational efficiencyBuild production observability using metrics, logging, tracing, dashboards, and alertingWrite automated unit, integration, and system testsOwn services throughout their lifecycle, including design, implementation, deployment, production support, incident response, and optimizationParticipate in architecture reviews and technical design discussionsCollaborate closely with Product, Infrastructure, Security, AI, and other Software Engineering teamsMentor engineers and help establish strong software engineering standardsWhat We’re Looking For
Required
6+ years of professional
software engineering
experienceSignificant recent hands‑on experience building
backend, platform, or distributed systemsStrong programming ability in one or more general‑purpose languages such as:Experience designing and developing production
APIs, microservices, backend services, or platform servicesStrong understanding of software engineering fundamentals, including:Experience designing or operating
distributed systems in productionExperience with event‑driven architectures or distributed messaging systems such as:Experience building systems that handle failures, retries, duplicate processing, ordering, and distributed stateExperience operating cloud‑native production systems on AWS, Azure, or GCPExperience owning production services, including troubleshooting, monitoring, incident response, and reliability improvementsExperience working with Docker and containerized production environmentsStrongly Preferred
Deep production experience with
Apache KafkaExperience with streaming frameworks such as:Experience designi

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