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Lead Cloud Software Developer - (AWS / AI / Real Time Payment Systems)
BMO
Toronto, ON · BMOPLACE
- Full-time
We are seeking an experienced Lead Cloud Software Developer to design, build, and support secure, scalable, highly available, and resilient real-time payment systems. The ideal candidate…
Added 15 mins ago
CG
Senior Software Engineer
CyberForce Global
Toronto, ON
- Full-time
Added 15 mins ago
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Associate EI&C Engineer
Veolia | Water Tech
Oakville, ON
- Full-time
Added 15 mins ago
AL
Certification and Testing Manager
Applus+ Laboratories
Toronto, ON
- $120,000 to $140,000 CAD / year
- Full-time
Professional Engineer (PE or P.Eng.) designation.
Added 45 mins ago
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Salesforce Developer
Brunel
Quebec, QC
- $100,000 to $125,000 CAD / year
- Full-time
Brunel is seeking a Forward Deployed Engineer specializing in Salesforce Agentic AI to support the design, development, and deployment of production-ready AI solutions on the Salesforce…
Added 45 mins ago
AI
Gen AI Engineer
Apptoza Inc.
Toronto, ON
- Contract
Added 45 mins ago
AI
Forward Deployed Engineer
Apptoza Inc.
Toronto, ON
- Contract
Role : Forward Deployed Engineer (Python/PySpark Developer)
Added 45 mins ago
Director, DevOps & Platform Engineering
Questrade Financial Group
AB · Vancouver, BC · MB · ON
…standardizing shift handoffs, and actively mitigating on-call engineer…
Added 1 hour ago
S
Associate Applications Engineer
Semtech
Burlington, ON · CAN - Burlington, ON
- Full-time
The Applications Engineer supports our data communications business in delivering high quality, customer-focused solutions. The successful candidate will work alongside senior team members…
Added 1 hour ago
ZS
Data AI Engineer
Zodiac Solutions, Inc
Mississauga, ON
- Full-time
Added 1 hour ago
V|
Associate EI&C Engineer
Veolia | Water Tech
Oakville, ON
- Full-time
Added 1 hour ago
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Full-Stack Software Engineer - React
Manulife
Toronto, ON · Waterloo, ON
- Full-time
We’re looking for an experienced Full Stack Software Engineer who enjoys working across the technology stack and turning ideas into modern, scalable digital solutions.
Added 1 hour ago
FS
BI Engineer
Four Seasons Hotels and Resorts
Toronto, ON · Four Seasons Corporate Headquarters Toronto
- Full-time
The BI Engineer is a technical engineering contributor within the Data & Analytics organization, responsible for designing, building, and operating scalable, maintainable, and governed…
Added 1 hour ago
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Full Stack Engineer
Aptonet
Vancouver, BC
- Full-time
Join our client's team as a Software Engineer to design, implement, and test features for a generative AI platform. Working closely with senior team members, you'll collaborate across…
Added 1 hour ago
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MONTREAL [hybrid] - MLOps Engineer
QUANTEAM - North America (RAINBOW PARTNERS Group)
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We are looking for an MLOps Engineer for one of our clients, an investment bank set in Montreal
Added 1 hour ago
A
AI Engineer
Altimetrik
Mississauga, ON
- Full-time
Added 2 hours ago
MF
Staff Software Engineer
Magnet Forensics
Canada
- Full-time
We’re looking for a seasoned Staff Software Engineer who thrives on technical depth and broad influence. You’re as comfortable designing architecture as you are shipping code, and you care…
Added 2 hours ago
TC
Artificial Intelligence Engineer
TechNeptune Consulting Inc.
Mississauga, ON
- Full-time
Added 2 hours ago
OS
GenAI Prompt Engineer
Open Systems Technologies
Montreal, QC
- Contract
The developer will be working within a machine learning team/squad. The team is working on developing Artificial Intelligence solutions including ML and Gen AI. The candidate should be…
Added 2 hours ago
AS
AWS Cloud Architect
Ardent SoftSol Inc.
Mississauga, ON
- $50 to $55 CAD / hour
- Contract
Establish developer portal and API onboarding processes.
Added 2 hours ago
JG
AWS / API lead and Architect
J&M Group
Mississauga, ON
- Contract
AWS AWS Certified Solutions Architect Professional AWS Certified DevOps Engineer Professional AWS Certified Developer Associate
Added 2 hours ago
AT
Sr. Software Engineer-MANO
Aarorn Technologies Inc
Toronto, ON
- $50 CAD / hour
- Contract
We are seeking a skilled Software Developer with a strong background in IBM Datastage to join our dynamic team in Toronto. The ideal candidate will have a proven track record in software…
Added 2 hours ago
DS
Artificial Intelligence Engineer
Digivance Solutions
Toronto, ON
- Full-time
We’re looking for a hands-on AI Engineer to build production AI agents, LLM-powered applications, and intelligent retrieval systems that solve real business problems.
Added 2 hours ago
IG
AWS Data Engineer
Insight Global
Toronto, ON
- $55 to $65 CAD / hour
- Contract
We are seeking a Data Engineer to support a large enterprise transformation focused on building data pipelines, integrating data, and migrating data workloads from on-premises environments…
Added 2 hours ago
FG
Lead Software Engineer, Full-Stack Applications - AI Fluent
Fitch Group
Toronto, ON
- $180,000 to $220,000 CAD / year
Lead Software Engineer, Full-Stack Applications – AI Fluent

Kaseya Careers

Sr Staff. Software Engineer

Toronto, ON, Canada

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Job details

Experience: 10+ years of software engineering experience in a production environment
Posting language: English
Posted: Oct 27, 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.

Job Title:

Senior Backend Engineer (SaaS, Data & AI)

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 Senior / Staff Backend Engineer to lead the design and delivery of SaaS products powered by data, machine learning, and AI. This is a hands-on role focused on building scalable backend systems, integrating ML/AI capabilities into real customer workflows, and driving technical direction across product areas. You’ll work closely with Product, Design, and Data teams to deliver reliable, high-impact features and improve engineering standards across the organization.

Roles & Responsibilities

Own the architecture and technical direction for backend systems within a multi-tenant SaaS platform
Design and build APIs and services (REST, GraphQL, or gRPC) to support product features and integrations
Deliver backend features end-to-end, including data modeling, business logic, and system integration
Partner with Product, Design, and Data/ML teams to translate business requirements into scalable solutions
Integrate data, ML, and AI capabilities into product workflows (e.g., automation, recommendations, insights)
Improve system performance, scalability, and reliability across critical services
Implement monitoring, logging, and alerting to ensure operational visibility and stability
Lead design reviews, mentor engineers, and contribute to engineering best practices

Required Qualifications

10+ years of software engineering experience in a production environment
Experience designing and building backend systems for SaaS applications
Experience delivering complex, user-facing features end-to-end in collaboration with Product teams
Experience building APIs and services (REST, GraphQL, or gRPC)
Experience working with cloud platforms (AWS, GCP, or Azure)
Experience integrating data, ML, or AI capabilities into production systems

Preferred Qualifications

Experience with backend languages such as Node.js, Java, Go, or similar
Experience with Python and data-related tooling (e.g., pandas, ML frameworks)
Familiarity with data modeling, relational databases, and caching strategies
Understanding of ML/AI systems, including model integration and common failure modes
Experience working with containers and distributed systems
Experience mentoring engineers and contributing to engineering standards

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.

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

The Senior/Staff Backend Engineer will lead the architecture and technical direction for backend systems within a multi-tenant SaaS platform. They will collaborate with cross-functional teams to integrate AI and machine learning capabilities into product workflows while ensuring system reliability and performance.

Requirements

Candidates must have 10+ years of software engineering experience in a production environment with a focus on SaaS applications. Proficiency in building scalable APIs and integrating data or AI capabilities into production systems is required.

Skills

Software Engineering
SaaS
Backend Development
API Design
Machine Learning
Artificial Intelligence
Cloud Platforms
System Architecture
Data Modeling
Node.js
Java
Go
Python
Distributed Systems
Mentoring
Scalability

Visa sponsorship

Not detected in the job text

Keywords

SaaS
Backend Engineer
Artificial Intelligence
Machine Learning
Cloud Platforms
AWS
GCP
Azure
REST
GraphQL
gRPC
Node.js
Java
Go
Python
Pandas
Data Modeling
Relational Databases
Caching
Distributed Systems
Containers
System Architecture
API Development
Cybersecurity
IT Management
Multi-tenant
Scalability
Monitoring
Logging
Mentoring

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