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Added 9 days ago
A
Cloud Software Engineer
Actalent
Ottawa, ON
- $61 to $70 CAD / hour
- Contract
Build and integrate REST APIs, backend services, data-processing functions, and event-driven workflows.
Added 9 days ago
Senior Software Engineer II
Schneider Electric
Calgary, AB
We’re looking for a hands-on Software Engineer to help build and scale the next generation of AI-powered solutions. In this role, you’ll combine deep Generative AI engineering with direct…
Added 9 days ago
Senior Frontend Developer, Market Innovations
HelloFresh
Toronto, ON
Working knowledge of one or more backend languages such as Node.js, Python, Go, or Java
Added 9 days ago
SE
Senior Software Engineer II
Schneider Electric
Calgary, AB
- $114,750 to $162,000 CAD / year
- Part-time
We’re looking for a hands-on Software Engineer to help build and scale the next generation of AI-powered solutions. In this role, you’ll combine deep Generative AI engineering with direct…
Added 9 days ago
SI
Software Engineer, Level 3, Backend
Snap Inc.
Toronto, ON
- Full-time
We’re looking for a Backend Engineer to join Snap Inc!
Added 9 days ago
AS
Full Stack Java Developer
Apex Systems
Toronto, ON
- $55 to $80 USD / hour
- Contract
…high-performing enterprise applications using technologies such as Java, Spring Boot, React, Node.js, Python, and…
Added 9 days ago
U
Staff Software Engineer - Engineer
Uber
Toronto, ON
- Full-time
Strong programming skills in at least one backend language, such as Java, Go, C++, or Python.
Added 9 days ago
T
Senior Java Developer– (Backend heavy) || Toronto
TestingXperts
Toronto, ON
- Contract
Role: Full Stack engineer – (Backend heavy) – Java with React
Added 9 days ago
Product Engineer II
Zafin
Ottawa, ON · Toronto, ON
We are looking for a Product Engineer II to join our Banking Platform organization. In this role, you will design, build, and maintain full stack features for a core banking platform…
Added 9 days ago
T
Full Stack engineer – (Backend heavy) || Toronto
TestingXperts
Toronto, ON
- Contract
Role: Full Stack engineer – (Backend heavy) – Java with React
Added 9 days ago
V
Full Stack Engineer
VySystems
Brampton, ON
- Full-time
Design, develop, and maintain scalable backend services using Java and Spring Boot within a microservices architecture.
Added 9 days ago
L
Quality Engineer
LTM
Mississauga, ON
- $84,238 to $103,554 CAD / year
- Full-time
…ensure software quality Utilize Playwright testing frameworks in Java C and Python to automate test scenarios Perform accessibility testing to ensure compliance with standards Conduct API…
Added 9 days ago
L
Senior Quality Engineer
LTM
ON · Ontario, Canada
- $84,238 to $103,554 USD / year
- Full-time
…ensure software quality Utilize Playwright testing frameworks in Java C and Python to automate test scenarios Perform accessibility testing to ensure compliance with standards Conduct API…
Added 9 days ago
M
Full-Stack Software Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Develop scalable backend services and APIs using Python, FastAPI/async frameworks, and Java.
Added 9 days ago
QW
Senior Automation Engineer
Quantum World Technologies Inc.
Toronto, ON
- Contract
We are seeking an experienced Senior Automation Test Engineer with 10+ years of experience in test automation, Java, Selenium, API testing, Jenkins, CI/CD, and Cucumber. The ideal candidate…
Added 9 days ago
WT
Data Engineer
Wissen Technology
Montreal, QC
- Full-time
We are looking for a Data Engineer with strong backend engineering fundamentals and hands‑on experience building scalable, high‑performance data pipelines. The ideal candidate comes from a…
Added 9 days ago
K
Senior Backend Software Engineer – Data Platform
Kaseya
Toronto, ON
- $205,000 to $240,000 CAD / year
- Full-time
We are looking for strong backend software engineers who want to solve large-scale data problems.
Added 10 days ago
KC
Senior Backend Software Engineer – Data Platform
Kaseya Careers
Toronto, ON
- $205,000 to $240,000 CAD / year
We are looking for strong backend software engineers who want to solve large-scale data problems.
Added 10 days ago
S
Staff Software Engineer, Risk Engineering
Stripe
Toronto, ON
- Full-time
As a Staff Engineer on Financial Crimes Engineering, you'll own technical direction across our screening, detection, and review systems. You'll design infrastructure that balances screening…
Added 10 days ago
U
Software Engineer II - Engineer
Uber
Toronto, ON
- Full-time
As a Backend Software Engineer on the team, you'll build the services and APIs behind these experiences. You'll work alongside backend, mobile, and machine learning engineers, as well as…
Added 10 days ago
Development Lead - Air Canada Mobile Application
Air Canada
Toronto, ON
…mobile application end to end: the iOS and Android clients, the backend-for-frontend (BFF) and API services that power them, and the build, release and operational tooling that ships the…
Added 10 days ago
L
Senior Full Stack Developer (Java/React)
Luxoft
Toronto, ON
- Full-time
We’re seeking a Senior Software Engineer to enhance a cross-asset order and position management system. The engineer shall have experience designing and building robust, scalable systems…
Added 10 days ago
AC
Development Lead - Air Canada Mobile Application
Air Canada
Toronto, ON
- Full-time
…mobile application end to end: the iOS and Android clients, the backend-for-frontend (BFF) and API services that power them, and the build, release and operational tooling that ships the…
Added 10 days ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Automate API workflows, backend validations, and data-processing scenarios using Java or Python.
Added 10 days ago
AI
Lead Full Stack with AI
Apptoza Inc.
Toronto, ON
- Contract
7+ years of backend development experience in Java or Python

Kaseya

Senior Backend Software Engineer – Data Platform

Toronto, ON, Canada

$205,000 to $240,000 CAD / year · Full-time

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Job details

Pay: $205,000 to $240,000 CAD / year
Job type: Full-time
Apply by: Nov 6, 2026
Experience: 6+ years of professional software engineering experience
Posting language: English
Posted: Oct 16, 2026

Original job description

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 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, 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
Experience building systems that handle failures, retries, duplicate processing, ordering, and distributed state
Experience operating cloud-native production systems on AWS, Azure, or GCP
Experience owning production services, including troubleshooting, monitoring, incident response, and reliability improvements
Experience working with Docker and containerized production environments

Strongly Preferred

Deep production experience with Apache Kafka
Experience with streaming frameworks such as:
- Apache Flink
- Spark Structured Streaming
- Kafka Streams
- Apache Beam
Experience designing high-throughput or low-latency systems
Experience with CDC, event sourcing, asynchronous processing, or message-driven architectures
Experience designing partitioning and sharding strategies
Understanding of message delivery semantics such as at-most-once, at-least-once, and effectively/exactly-once processing
Experience implementing idempotent and fault-tolerant services
Experience with Kubernetes and production container orchestration
Infrastructure-as-code experience with Terraform, Pulumi, CloudFormation, or similar tooling
CI/CD and deployment automation experience
Experience with distributed caching, queues, key-value stores, or high-performance databases
Experience designing developer-facing platforms or shared infrastructure used by multiple engineering teams
Strong observability and SRE practices using technologies such as Prometheus, Grafana, Datadog, OpenTelemetry, or similar systems
Experience conducting architecture reviews or authoring technical design documents, RFCs, or ADRs

Data Platform Experience

You do not need to come from a traditional Data Engineering background.

However, you should be comfortable working with data-intensive systems.

Relevant experience may include:

Real-time data ingestion
Streaming platforms
Distributed processing
Change Data Capture
Data-serving infrastructure
Large-scale analytical systems
Data APIs
Lakehouse infrastructure
Distributed storage systems
High-volume event processing

Experience with technologies such as the following is useful, but not a substitute for strong software engineering fundamentals:

Spark
Databricks
Snowflake
Iceberg
Delta Lake
BigQuery
Redshift

Candidates whose experience is primarily focused on ETL development, BI/reporting, dimensional modeling, dashboards, or data warehouse implementation without substantial backend software engineering experience are unlikely to be a fit for this role.

Bonus

Experience building infrastructure supporting machine learning or AI systems
Experience building AI/LLM backend services
Experience with vector databases or high-scale retrieval systems
Experience with RAG infrastructure or AI data pipelines
Experience developing internal developer platforms
Experience with large multi-tenant SaaS systems
Experience mentoring engineers or leading cross-team technical initiatives

What Strong Candidates Tend to Look Like

You may have previously held titles such as:

Senior Software Engineer
Backend Engineer
Distributed Systems Engineer
Platform Engineer
Infrastructure Engineer
Streaming Platform Engineer
Data Platform Engineer
Software Engineer, Data Infrastructure

Your title matters less than what you have actually built.

We are particularly interested in engineers who can demonstrate hands-on ownership of production software systems and explain the architectural decisions, trade-offs, failures, and operational challenges behind them.

The expected base salary range for this position is CAD $205,000 to $240,000 per year. Where a candidate falls within this range depends on job-related factors such as experience, skills, and qualifications. This range reflects base salary only and does not include variable compensation or other components of the total package.

Additional Information

Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.

#IND525

Additional Information

Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.

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More about this job

Responsibilities

Design, build, and operate backend services, APIs, and distributed platform components for data ingestion, processing, and delivery across Kaseya products. Own services through deployment and production support, improve reliability and performance, and collaborate on architecture and platform standards with cross-functional teams.

Requirements

Requires at least six years of software engineering experience, strong recent hands-on backend or distributed-systems experience, and proficiency in one or more general-purpose programming languages. Candidates should have production experience with APIs, messaging or event-driven systems, cloud platforms, Docker, and service reliability; Kafka, streaming frameworks, Kubernetes, infrastructure as code, and observability are preferred.

Skills

Backend Software Engineering
Distributed Systems
Java
Go
Python
Scala
Rust
C++
API Design
Microservices
Concurrency
Event-Driven Architecture
Apache Kafka
Cloud-Native Systems
Docker
Kubernetes

Visa sponsorship

Not detected in the job text

Keywords

Backend Engineering
Data Platform
Distributed Systems
Microservices
APIs
Java
Go
Python
Scala
Rust
C++
Apache Kafka
Event-Driven Architecture
Streaming
Apache Flink
Spark Structured Streaming
Kafka Streams
Apache Beam
AWS
Azure
Google Cloud Platform
Docker
Kubernetes
Terraform
Prometheus
Grafana
OpenTelemetry
Change Data Capture
Idempotency
Fault Tolerance

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