Senior Backend Software Engineer – Data Platform

About Kaseya

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 has built a culture centered around innovation, accountability, and results. We are a high-growth, high-performance organization that values individuals who are driven, adaptable, and committed to delivering exceptional outcomes for our customers and teammates alike.

At Kaseya, success comes from embracing challenges, moving with urgency, and continuously raising the bar.

Senior Software Engineer – Data Platform

Location: Toronto, Canada

Why 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.

Strong 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 products

• Build highly available services capable of processing and serving large volumes of data

• Design event-driven and asynchronous systems using technologies such as Kafka and other distributed messaging platforms

• Develop services responsible for data ingestion, enrichment, routing, transformation, and delivery

• Build APIs and service interfaces that expose platform capabilities to other engineering teams

• Design systems that operate correctly under concurrency, partial failures, retries, duplicate events, and high load

• Solve distributed-systems problems involving:

• partitioning

• ordering

• idempotency

• retries

• state management

• backpressure

• consistency

• fault tolerance

• delivery guarantees

• Build reusable frameworks and platform primitives that can be adopted across multiple Kaseya products

• Design service contracts, APIs, schemas, and integration patterns between independently developed systems

• Improve platform performance, scalability, reliability, and operational efficiency

• Build production observability using metrics, logging, tracing, dashboards, and alerting

• Write automated unit, integration, and system tests

• Own services throughout their lifecycle, including design, implementation, deployment, production support, incident response, and optimization

• Participate in architecture reviews and technical design discussions

• Collaborate closely with Product, Infrastructure, Security, AI, and other Software Engineering teams

• Mentor engineers and help establish strong software engineering standards

What We're Looking For

Required

• 6+ years of professional software engineering experience

• Significant recent hands-on experience building backend, platform, or distributed systems

• Strong programming ability in one or more general-purpose languages such as:

• Java

• Go

• Python

• Scala

• Rust

• C++

• Experience designing and developing production APIs, microservices, backend services, or platform services

• Strong understanding of software engineering fundamentals, including:

• data structures and algorithms

• concurrency

• asynchronous programming

• API design

• testing

• debugging

• system design

• Experience designing or operating distributed systems in production

• Experience with event-driven architectures or distributed messaging systems such as:

• Kafka

• Kinesis

• Event Hubs

• Pub/Sub

• RabbitMQ

• similar technologies &lt