Toronto, On Cybersecurity platform engineer Jobs – 155 Openings This Week

Staff Applied ML Engineer
Kaseya Careers —Toronto, ON
- $220,000–$280,000 a year
- SQL
- Machine learning
- Mentoring
AI Systems Engineer (Cyber Detection Engineering)
BMO Financial —Toronto, ON
- $80,000–$175,000 a year
- Hybrid work
- DevOps
- Engineering
- System design
- Tuition reimbursement
- Life insurance
Staff Software Engineer
Kaseya Careers —Toronto, ON
- $180,000–$250,000 a year
- Azure
- AWS
- APIs
Senior Staff Network Software Engineer
Kaseya Careers —Toronto, ON
- Linux
Quick apply
Senior Cloud Engineer
BMO Financial Group —Ontario
- $75,900–$141,900 a year
- Full-time
- Remote
- Analysis skills
- Mentoring
- Software development
- Tuition reimbursement
- Life insurance
Senior Cloud Engineer
BMO Financial Group —Ontario
- $75,900–$141,900 a year
- Remote
- Analysis skills
- Mentoring
- Software development
- Tuition reimbursement
- Life insurance
Data Platform Engineering Manager
TD Bank —Toronto, ON
- $115,600–$163,200 a year
- Full-time
- Azure
- Computer Science
- Engineering
- Paid time off
Senior Backend Software Engineer – Data Platform
Kaseya Careers —Toronto, ON
- $205,000–$240,000 a year
- Azure
- System design
- Java
Quick apply
Lead, Machine Learning Engineer
Procom —Mississauga, ON
- $67.50–$90.00 an hour
- Immediate opening
- Hybrid work
- Master's degree
- Machine learning
- AI
Quick apply
12d
AI & Machine Learning Engineer, Level 17 or 18 - 803 EN
Export Development Canada | Exportation et développement Canada —Toronto, ON
- $84,698–$112,931 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Relocation assistance
Quick apply
4d
Controls and Automation and Digital Lead
Gay Lea Foods —Toronto, ON
- $95,300–$145,300 a year
- Full-time
- Management
- PMP
- Engineering
Quick apply
Senior Developer, ServiceNow CSM - EN 395
Export Development Canada | Exportation et développement Canada —Toronto, ON
- $96,557–$128,743 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Software troubleshooting
- Relocation assistance
Quick apply
3d
Director, Data Strategy & AI Enablement
YORK1 —Etobicoke, ON
- Full-time
- Hybrid work
- Computer Science
- ERP systems
- Master's degree
- Dental care
Quick apply
Cybersecurity Platform Engineer
ALSTOM —Toronto, ON
- $80,000–$105,000 a year
- Full-time
- Computer science
- Computer Science
- Writing skills
Security Platform Engineer (SIEM)
Sun Life —Toronto, ON
- $65,000–$105,000 a year
- Full-time
- Azure
- Writing skills
- Research
IT Security Analyst CAN
Greenstone Meats —Etobicoke, ON
- $110,000–$120,000 a year
- Azure
- Computer Science
- Windows
- Disability insurance
- Dental care
Quick apply
Platform Backend Engineer — Go/Rust & Distributed Systems
Kaseya Careers —Toronto, ON
- $160,000–$240,000 a year
- Full-time
- Azure
- AWS
- APIs
Quick apply
11d
Cybersecurity Incident Response Commander
ISA Cybersecurity —Toronto, ON
- $135,000–$180,000 a year
- Full-time
- Hybrid work
- Google Suite
- Azure
- Computer Science
- Tuition reimbursement
Infrastructure Solutions Engineer
Terra Dygital Solutions Inc. —Toronto, ON
- $100,000–$120,000 a year
- Computer Science
- Writing skills
- System design
- Paid time off
Software Engineer, Simulation
Doppel —Toronto, ON
- $150,000–$365,000 a year
- Full-time
- Hybrid work
- Paid time off

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cybersecurity platform engineer jobs near toronto, on

Staff Applied ML Engineer

Kaseya Careers -
Toronto, ON

Apply Now

Job details

$220,000–$280,000 a year

Qualifications

Law
PyTorch
Coaching
SQL
Pandas
Machine learning
Mentoring
Data analytics
APIs
Data science
AI
Model evaluation

Full 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 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.

Job Title:

Staff Applied Machine Learning Engineer (AI Workflows & Product Intelligence)

Why Kaseya?

Join a fast-growing company that's transforming the IT industry. At Kaseya, you'll have the opportunity to work with cutting-edge technology, collaborate with a dynamic team, and develop your career in a highimpact role.

Join the Kaseya growth rocket ship and see how we are #ChangingLives!

Job Summary

We're hiring a Staff Applied Machine Learning Engineer to build AI-powered workflows and data-driven product capabilities across Kaseya's product suite. This role focuses on applied ML, data analysis, model development, and production integration of AI features that help classify requests, recommend actions, route work, enrich data, and automate repetitive workflows. You'll partner with Product, Engineering, Data, and ML teams to deliver production-ready AI capabilities while helping teams adopt repeatable patterns for model evaluation, workflow design, and responsible AI usage.

Roles & Responsibilities

Analyze product and customer data using Python, pandas, SQL, PySpark, or similar tools to identify patterns and modeling opportunities
Build and productionize ML models for classification, recommendations, similarity, ranking, routing, and prediction use cases
Design AI-powered workflows that transform unstructured inputs such as tickets, emails, forms, messages, and logs into structured data
Partner with Engineering teams to integrate ML models and AI workflows into production systems through APIs, services, and automation logic
Define evaluation methods, telemetry, feedback loops, and monitoring practices for AI-powered product features
Build reusable patterns, templates, and best practices for data ingestion, feature creation, model usage, and responsible AI implementation
Provide technical guidance to product teams on AI opportunity sizing, ML design, model trade-offs, and production readiness
Mentor junior data and ML engineers through code reviews, model reviews, pairing, and technical coaching

Required Qualifications

5+ years of experience in data science, machine learning engineering, applied ML, or a related production-focused role
Experience building ML models for classification, recommendation, similarity, ranking, prediction, or related product use cases
Experience using Python, pandas, SQL, and PyTorch or similar tools for data analysis and model development
Experience using PySpark or similar distributed data processing frameworks
Experience integrating ML models into production systems through APIs, microservices, batch workflows, or automated product workflows

Preferred Qualifications

Experience with LLM-powered workflows, RAG, prompt engineering, fine-tuning, tool use, or agent orchestration
Experience building agent-assist features, automated resolution workflows, or AI-powered operational products
Experience with MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or similar platforms
Experience with production model monitoring, model evaluation, online experiments, or feedback loops
Experience applying matrix factorization, embeddings, clustering, dimensionality reduction, or latent factor modeling
Experience working in a platform or enablement role supporting multiple product teams
Experience mentoring data scientists, ML engineers, analysts, or software engineers on applied ML practices

Compensation Range

The base salary range for this job is CAD $220,000 – $280,000 / year.

An individual's base pay depends on various factors including geographical location and review of experience, knowledge, skills, and abilities of the applicant. At Kaseya, certain roles are eligible for benefits and additional rewards. These rewards are allocated based on individual impact in role. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role.

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 Now

Refine Your Search

cybersecurity platform engineer jobs in toronto, on

Staff Applied ML Engineer

AI Systems Engineer (Cyber Detection Engineering)

Staff Software Engineer

Senior Staff Network Software Engineer

Senior Cloud Engineer

Senior Cloud Engineer

Data Platform Engineering Manager

Senior Backend Software Engineer – Data Platform

Lead, Machine Learning Engineer

AI & Machine Learning Engineer, Level 17 or 18 - 803 EN

Controls and Automation and Digital Lead

Senior Developer, ServiceNow CSM - EN 395

Director, Data Strategy & AI Enablement

Cybersecurity Platform Engineer

Security Platform Engineer (SIEM)

IT Security Analyst CAN

Platform Backend Engineer — Go/Rust & Distributed Systems

Cybersecurity Incident Response Commander

Infrastructure Solutions Engineer

Software Engineer, Simulation

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