Software engineer jobs in Vaughan, ON and nearby

Within 25 km

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Added 25 days ago
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AWS Sr. Cloud Engineer
Cognizant
Toronto, ON
- Full-time
Engineer and support AWS infrastructure for high availability, resiliency, chaos testing, production parallel run, cutover, rollback, and hypercare, including infrastructure troubleshooting…
Added 25 days ago
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Software Engineer II
TD
Toronto, ON
- Full-time
Added 25 days ago
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Staff Software Engineer - Engineer
Uber
Toronto, ON
- Full-time
As a Staff Software Engineer, you'll set technical direction for important, multi-quarter initiatives and help evolve the services and data foundations that power search. You'll partner…
Added 25 days ago
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AI Software Engineer (AI-native · Backend + Infra)
quotaflow
Toronto, ON
- Full-time
Added 25 days ago
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Software Engineer II (Procurement and Risk Technology)
TD
Toronto, ON
- Full-time
This role follows a hybrid model based at 320 Front St W , with approximately 4 in-office days per week
Added 25 days ago
Staff Software Engineer, Investors
Carta
Toronto, ON
…tools with a single system of record, Carta brings together the software, services, and legal infrastructure that founders use to manage equity, fund managers use to run administration and…
Added 25 days ago
Senior Software Engineer II, Investors
Carta
Toronto, ON
As a Senior Software Engineer II within the Investors business unit, you will lead technically complex projects and serve as a multiplier for your team. You’ll work to:
Added 26 days ago
O
Principal Systems Architect (Copilot Architect)
OpenText
Richmond Hill, ON
- Full-time
Define and champion engineering standards for secure software delivery, CI/CD, infrastructure as code, testing, AI evaluation, monitoring, reliability, cost management, and incident…
Added 26 days ago
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Software Engineer III
TD
Toronto, ON
- Full-time
Regulatory and Customer Central Product Group of TD's Core Platform is seeking a talented Software Engineer III to develop & support critical applications around customer book of record,…
Added 26 days ago
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Software Engineer - Intern
Altera
Toronto, ON
- Full-time
Research, design, develop, and optimize software tools that enable the use of Field Programmable Gate Arrays (FPGA).
Added 26 days ago
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Software Engineer II, User Targeting
Braze
Toronto, ON
- Full-time
We’re looking for a Software Engineer II to join the User Targeting team. The team is responsible for how our customers segment and target their users. Every message Braze sends goes…
Added 26 days ago
Software Engineer II, User Targeting
Braze
Toronto, ON
We’re looking for a Software Engineer II to join the User Targeting team. The team is responsible for how our customers segment and target their users. Every message Braze sends goes…
Added 26 days ago
A
Software Engineer - Intern
Altera
Toronto, ON
- Full-time
Research, design, develop, and optimize software tools that enable the use of Field Programmable Gate Arrays (FPGA).
Added 26 days ago
ID
Senior Java Software Engineer
Intellect Design Arena Ltd
Toronto, ON
- $110,000 to $120,000 CAD / year
- Full-time
Minimum 7 to 11 years of experience in software development with strong focus on Java and microservices
Added 26 days ago
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AWS Cloud Engineer
BMO
Toronto, ON
- Full-time
The Cloud Engineer is a core member of the Cloud Product Engineering team responsible for designing, building, and operating secure, scalable, and resilient cloud solutions for Amazon Web…
Added 26 days ago
Software Engineer, GovTech
Lyft
Toronto, ON
Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role
Added 26 days ago
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Senior Mulesoft Software Engineer
Manulife
Toronto, ON
- Full-time
As a Senior MuleSoft Software Engineer, you will design, develop, and support scalable, secure, and resilient integration platforms that connect enterprise applications, Salesforce, cloud…
Added 26 days ago
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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Lead Quality Assurance Engineer (RISE Initiative)
Added 26 days ago
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Full-Stack Software Engineer
Manulife
Toronto, ON
- Full-time
We’re looking for a Full Stack Engineer who is excited about building the next generation of intelligent, cloud-native applications.
Added 26 days ago
ST
AI Software Engineer
SS&C Technologies
Toronto, ON
- Full-time
At SS&C, we are embarking on an exciting journey to reimagine software engineering through Artificial Intelligence, and we're looking for an experienced AI Engineer to help lead that…
Added 26 days ago
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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 26 days ago
AM
Sr. Software Engineer – Kernel & Device Drivers (Temp 1 Year Contract)
Advanced Micro Devices, Inc
Markham, ON
- Temporary
AMD is looking for a senior software engineer to join our growing team. As a key contributor you will be part of a leading team to drive and enhance AMD's abilities to deliver the highest…
Added 26 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 26 days ago
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Member of Technical Staff (Software Engineer, API Platform)
Perplexity
Toronto, ON
- $220,000 to $405,000 CAD / year
- Full-time
Added 26 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…

Kaseya Careers

Senior Backend Software Engineer – Data Platform

Toronto, ON, Canada

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

Apply on kaseya.com About employer

Applications open in a new tab.

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.

Apply on kaseya.com About employer

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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Software engineer jobs in Vaughan, ON and nearby

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