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Added 2 days ago
T
Senior Application Security Analyst
Tekshapers
Toronto, ON
- Full-time
Extensive experience in Application Security, Cybersecurity, or DevSecOps, with the depth of expertise
Added 2 days ago
T
Engineer II - Endpoint Protection Security
TD
Toronto, ON · Mississauga, ON · Markham, ON
- Full-time
Endpoint Protect is part of the broader Security Engineering team of the Protect Platform with the mandate to plan, evaluate, recommend, design, operationalize, and support a variety of…
Added 2 days ago
NS
Senior Site Reliability Engineer (SRE) – CDN & Web Performance (Adobe)
N2P Systems
Toronto, ON
- Full-time
We are seeking a Senior Site Reliability Engineer (SRE) to help build and operate a modern, public-facing enterprise web platform delivered through Adobe Experience Manager (AEM) Edge…
Added 3 days ago
FT
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
FDE Times
Toronto, ON
- Full-time
You will be a key technical contributor in PwC’s Cybersecurity Consulting practice. You’ll work closely with managers and other team members to design and implement security solutions (e.g.…
Added 3 days ago
SR
Chief Technology Officer
Serv Recruitment
Waterloo, ON
- Full-time
…portfolio companies, identifying opportunities to improve quality, security, scalability, and…
Added 3 days ago
OT Systems/Applications Design
Celestica International LP
Newmarket, ON
…chain and project leadership to ensure robust and high quality product…
Added 3 days ago
Site Operational Technology Lead
Celestica International LP
Newmarket, ON
…chain and project leadership to ensure robust and high quality product…
Added 4 days ago
CE
Architecte Matériel Senior
CMC Electronics
Montreal, QC
- Full-time
…avionics architectures, and contribute to the next-generation product roadmap with the Platform…
Added 4 days ago
MM
Chief Technology Officer
Martell Media
Waterloo, ON
- Full-time
…portfolio companies, identifying opportunities to improve quality, security, scalability, and…
Added 4 days ago
Full Stack Engineer
Scotiabank
Toronto, ON
As a Full Stack Engineer on Scotiabank’s Data & AI Technology team, you will provide senior technical leadership in designing, building, and scaling enterprise data management capabilities…
Added 4 days ago
T
Engineer II - Endpoint Protection Security
TD
Markham, ON · Mississauga, ON · Toronto, ON
- Full-time
Endpoint Protect is part of the broader Security Engineering team of the Protect Platform with the mandate to plan, evaluate, recommend, design, operationalize, and support a variety of…
Added 4 days ago
L
Director of Business Technology
Liteline
Richmond Hill, ON
- Full-time
…a Director of Business Technology to our leadership team, a senior, hands-on role with ownership of technology across the…
Added 4 days ago
CE
Architecte Matériel Senior
CMC Electronics
Montreal, QC
- Full-time
Added 5 days ago
L
Senior Application Engineer - IAM
lululemon
Vancouver, BC
- Full-time
As a Senior Application Engineer, you will lead the design and implementation of complex application solutions spanning multiple business processes and system modules, establishing…
Added 8 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 8 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 8 days ago
RR
Head of Artificial Intelligence
Red Rover Recruitment
Toronto, ON
- $120,000 to $200,000 CAD / year
- Full-time
Apply AI to the full customer-program lifecycle, including opportunity identification, RFQ/quoting, formulation and product development, packaging/specification management,…
Added 8 days ago
K
Senior Backend Software Engineer – Data Platform
Kaseya
Toronto, ON
- $205,000 to $240,000 CAD / year
- Full-time
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…
Added 8 days ago
KC
Senior Backend Software Engineer – Data Platform
Kaseya Careers
Toronto, ON
- $205,000 to $240,000 CAD / year
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…
Added 9 days ago
Q
Senior Security Engineer
Qorsa
Waterloo, ON
- Full-time
We are hiring a Senior Security Engineer to own the security and cryptographic trust behind SiQcure, our post-quantum platform for software supply chain integrity. SiQcure helps teams prove…
Added 9 days ago
TT
Senior Application Security Engineer
Temporal Technologies
Canada
- Full-time
Join our dynamic team as a Senior Application Security Engineer, where you'll play a pivotal role in securing the Temporal development pipeline, product, and customer execution environment.…
Added 9 days ago
Q
Senior Software Engineer - Platform & Reliability
Qorsa
Waterloo, ON
- Full-time
Qorsa is a Canadian post-quantum cryptography and cybersecurity company building CasQade - a crypto-agile security platform protecting sovereign government, defence, financial, and…
Added 9 days ago
Q
Senior Software Engineer - Distributed Systems
Qorsa
Waterloo, ON
- Full-time
Qorsa is a Canadian post-quantum cryptography and cybersecurity company building CasQade - a crypto-agile security platform protecting sovereign government, defence, financial, and…
Added 9 days ago
SL
Sr Security Platform Engineer
Sun Life
Toronto, ON · Sun Life Toronto One York
- Full-time
The Senior Security Platform Engineer is responsible for designing, implementing, supporting, and continuously enhancing Sun Life’s enterprise cryptographic security platforms, including…
Added 9 days ago
NM
Sr Product Owner - Cloud Software
Natus Medical Incorporated
Oakville, ON
- Full-time
At Natus, we're looking for an experienced Senior Technical Product Owner who thrives at the intersection of software engineering, cloud technology, and product development.

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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