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Added 10 days ago
BI Platform Engineer
The Canada Life Assurance Company
London, ON · Toronto, ON
…automation, monitoring and incident response. As a key member of the data & analytics function, you will collaborate across engineering, architecture and business teams to enable…
Added 10 days ago
TI
Developer
TekStaff IT Solutions
ON · Ontario, Canada
- Contract
5+ years of experience in software development, cloud engineering, DevOps, or data engineering.
Added 10 days ago
UT
Senior DevOps Engineer – HPC / EDA / SLURM- #26-24242
US Tech Solutions
Vancouver, BC
- $55 to $60 USD / hour
- Contract
Audit and reconcile Linux user and group identity data (UID/GID) across multiple directory and authentication domains
Added 10 days ago
K
Senior Backend Software Engineer – Data Platform
Kaseya
Toronto, ON
- $205,000 to $240,000 CAD / year
- Full-time
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,…
Added 10 days ago
SE
Senior AI Application Development Specialist
Schneider Electric
Montreal, QC
- Full-time
Integrate AI capabilities into existing Digital Energy Software products, developer tools, and engineering workflows.
Added 10 days ago
SE
Senior AI Data Engineering Specialist
Schneider Electric
Montreal, QC
- Full-time
…information, semantic models, documentation, scripts, and operational data into reliable foundations for AI-enabled applications. As part of the Energy Intelligence initiative, you will…
Added 10 days ago
AM
Firmware Engineering Manager
Advanced Micro Devices, Inc
Markham, ON
- Full-time
We are seeking a seasoned firmware engineering manager to lead and grow the Data Center GFX FW team. This is a greenfield leadership opportunity: you will be responsible for building the…
Added 10 days ago
B
Software Application Developer
BMO
Calgary, AB · GCS
- Full-time
As a Gen AI Software Application Developer at BMO, you will focus on building and integrating Generative AI capabilities into enterprise applications. Working with technology and business…
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Protection Element Embedded SW Developer-
GE Vernova
Markham, ON
- Full-time
Activities aimed at proving a concept to be valid or technically feasible by the application of scientific and engineering methodologies. Work in this family typically has the objective of…
Added 10 days ago
GV
Senior Protection Element Embedded SW Developer
GE Vernova
Markham, ON
- Full-time
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Added 10 days ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
Implement software validation engineering test plans, cases plus scripts.
Added 10 days ago
KC
Senior Backend Software Engineer – Data Platform
Kaseya Careers
Toronto, ON
- $205,000 to $240,000 CAD / year
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,…
Added 10 days ago
O
FPGA AI Accelerator Engineer
O-HIVE.AI
Windsor, ON
- Full-time
We are seeking a talented and motivated FPGA Engineer to join our engineering team and contribute to the development of hardware-accelerated spatial vision and edge AI systems.
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F
Senior Software QA Specialist – FortiGate Cloud
Fortinet
Burnaby, BC
- Full-time
…Fortinet, our mission is to safeguard people, devices, and data everywhere. We are currently seeking a dynamic Senior Software QA Specialist to contribute to the success of our rapidly…
Added 10 days ago
M
Senior Security Engineer, Detection and Response
Marqeta
Remote, Canada
- Full-time
- Remote
Engineer, maintain, and continuously optimize detection logic across multiple data sources, using threat modeling to keep coverage current with the evolving attack landscape
Added 10 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
We are looking for a Senior Data Architect to design the end-to-end data platform for APEX. The platform ingests contact centre telephony and quality data from the Genesys A3S Snowflake…
Added 10 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
We are looking for a Senior Data Architect to design the end-to-end data platform for APEX. The platform ingests contact centre telephony and quality data from the Genesys A3S Snowflake…
Added 10 days ago
SM
RQ11716 – Systems Testing/QA Specialist – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Knowledge and experience in the use of Computer Aided Software Engineering (CASE) tools and data query tools to aid in the development of test cases.
Added 10 days ago
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Technical Director Pre Production
Netflix
Vancouver, BC
- Full-time
Relevant education in software engineering and/or film creation process.
Added 10 days ago
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Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Field of Study: Computer Science, Software Engineering, Health Informatics, or a related field, or equivalent professional experience
Added 10 days ago
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FPGA Design & Firmware Engineer, Staff
Qualcomm
Markham, ON
- Full-time
…Clocking, Reset, Embedded Systems, Embedded Linux, ARM, C++, Python, Digital Design, CAD, EDA, Emulation, Prototyping, IoT, Mobile, Compute, Data…
Added 10 days ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
Implement software validation engineering test plans, cases plus scripts.
Added 10 days ago
S1
Full-Stack Machine Learning Engineer
Signal 1
Toronto, ON
- Full-time
- Depth in AI and backend engineering: strong Python for services and ML pipelines, working fluency with cloud infrastructure and CI/CD, and a working understanding of frontend development…
Added 10 days ago
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Sr. Data Engineer
Livingston International
Toronto, ON
- Full-time
6 years of related experience. Strong proficiency in SQL and other programming languages commonly used in data engineering (e.g., Python, Apache).
Added 10 days ago
TI
Senior Data Developer
TS Imagine
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Kaseya Careers

Senior Backend Software Engineer – Data Platform

Toronto, ON, Canada

$205,000 to $240,000 CAD / year

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Job details

Pay: $205,000 to $240,000 CAD / year
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 and build backend services, APIs, and distributed platform components to process and serve large volumes of data. Own services throughout their lifecycle, including implementation, deployment, production support, and optimization.

Requirements

Requires 6+ years of professional software engineering experience with a strong background in distributed systems and backend development. Proficiency in languages such as Java, Go, Python, Scala, Rust, or C++ is essential.

Skills

Java
Go
Python
Scala
Rust
C++
Distributed systems
Kafka
Microservices
API design
Cloud-native
AWS
Azure
GCP
Docker
Kubernetes

Visa sponsorship

Not detected in the job text

Keywords

Backend Software Engineer
Data Platform
Distributed Systems
Kafka
Microservices
API Design
Cloud-native
AWS
Azure
GCP
Docker
Kubernetes
Event-driven Architecture
Observability
SRE
Terraform
CI/CD
Streaming Frameworks
Apache Flink
Spark
Data Ingestion
Fault Tolerance
Scalability
Reliability
Concurrency
Asynchronous Programming
System Design
Infrastructure
Data Engineering
Software Engineering

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