Software development jobs in Canada

Explore software development jobs in Canada. Choose a role or place to find work that fits.

Counted Oct 24, 2026

Hiring at a glance

View jobs

Open jobs: 5,780
Employers: 1,864

Advertised starting pay

Average starting payCAD / year: $113,998Across 616 listings
Average starting payCAD / hour: $56.78Across 194 listings
Average starting payUSD / year: $145,651Across 125 listings
Average starting payUSD / hour: $59.34Across 17 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 8%469 listings
Hybrid: 39%2,261 listings
On-site: 52%3,023 listings

Not specified: <1% (27 listings)

Employers hiring include S M Software Solutions Inc (203), Amazon (131), Electronic Arts (68).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Software development jobs in Canada

Email me new jobs Save this search

Added 17 days ago
Principal Software Developer
Open Text Corporation
Waterloo, ON
Added 17 days ago
Lead Software Developer
Open Text Corporation
Waterloo, ON
Added 17 days ago
Sr. Software Developer
Open Text Corporation
Waterloo, ON
Added 17 days ago
Sr. Software Developer (Server, C++)
Open Text Corporation
Waterloo, ON
Added 17 days ago
T
Software Engineer I - Development and Quality Engineering
TD
Toronto, ON
- Full-time
…opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been…
Added 17 days ago
QT
Site Reliability Engineer
Q1 Technologies, Inc.
Toronto, ON
- $95,000 to $115,000 CAD / year
- Full-time
Added 17 days ago
E
Software Engineer II
Emburse
Toronto, ON
- Full-time
Emburse software engineers contribute to the development of an engaging and interconnected set of system solutions. As an engineer, you will enhance the experiences of your customers, solve…
Added 17 days ago
C
Software Developer, Co-op
Clio
Toronto, ON · Vancouver, BC · Calgary, AB
- Full-time
We are currently seeking a new Software Developer, Co-op to join our Engineering team out of hub offices (Toronto, Calgary, Burnaby). All hub-based Clions are expected to be in office…
Added 17 days ago
E
Software Engineer II
Emburse
Toronto, ON
- Full-time
Emburse software engineers contribute to the development of an engaging and interconnected set of system solutions. As an engineer, you will enhance the experiences of your customers, solve…
Added 17 days ago
EC
Software Engineer II
Emburse Chrome River
Toronto, ON
- Full-time
Emburse software engineers contribute to the development of an engaging and interconnected set of system solutions. As an engineer, you will enhance the experiences of your customers, solve…
Added 17 days ago
H
Senior Software Engineer - AI/ML
Hach
London, ON · Vancouver, BC · CAN - Vancouver - Aquatic Informatics ULC
- $120,000 to $145,000 CAD / year
- Full-time
Aquatic Informatics (AQI), a Veralto company, is a mission-driven software company that organizes the world’s water data to make it accessible and useful. We provide software solutions that…
Added 17 days ago
EA
Junior Full-Stack Software Developer
Effortless Admin Inc.
Edmonton, AB
- Full-time
Added 17 days ago
OI
Senior Oracle APEX Full-Stack Developer
OXARO Inc.
Ottawa, ON · Greater Ottawa Metropolitan Area
- Contract
Use software development and lifecycle tools such as Oracle SQL
Added 17 days ago
DC
Sr. Software Project Manager (Scaled Agile /Device Development)
Danaher Corporation
Guelph, ON · Toronto, ON · Concord, ON · CAN - Concord - AB Sciex LP
- Full-time
Added 17 days ago
TH
Intern, Full Stack Software Developer
The Home Depot
Canada
- Full-time
Added 17 days ago
IF
Lead Full Stack Developer
iA Financial Group
Montreal, QC · Quebec, QC
- Full-time
…Stack Developer, you will play a key role in the analysis, development, integration, testing, and evolution of robust digital solutions, from user interfaces through back-end services,…
Added 17 days ago
Senior Software Programmer, Audio Engine
Epic Games
Vancouver, BC
Added 17 days ago
Senior Software Programmer, Audio Engine
Epic Games
Edmonton, AB
Added 17 days ago
MS
Software Eng III - Job Level: Associate
Morgan Stanley
Montreal, QC
- Full-time
We’re seeking someone to join our team as a Software Developer (Various Languages Welcome) to contribute to the design and development of innovative front-office technology solutions while…
Added 17 days ago
EG
Développeur(-euse) de logiciels sénior(e) (contenu) / Senior Software Development Engineer
Expedia Group
Montreal, QC · Canada - Quebec - Montreal
- Full-time
Added 17 days ago
A
Software Developer
AppDirect
Montreal, QC
- Full-time
Added 17 days ago
U
Senior Software Engineer, Applied AI & Customer Solutions
Udemy
Toronto, ON
- Full-time
Added 17 days ago
Software Engineer, Web3 Backend
Robinhood
Toronto, ON
Added 17 days ago
S
Senior Software Developer
SOTI
Mississauga, ON
- Full-time
Added 17 days ago
S
Software Developer – Web/Cloud Application, Co-op
Semtech
Richmond, BC · CAN - Richmond, BC
- Full-time

Udemy

Senior Software Engineer, Applied AI & Customer Solutions

Toronto, ON, Canada

Job titles may span multiple career levels, and the targeted hiring base salary range for this role in Canada is $137,000 to $172,000. · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: Job titles may span multiple career levels, and the targeted hiring base salary range for this role in Canada is $137,000 to $172,000.
Job type: Full-time
Apply by: Nov 6, 2026
Posting language: English
Posted: Oct 7, 2026

Original job description

About Coursera + Udemy

Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world’s most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our blog.

Why join us now?

AI is transforming how people learn, work, and grow, and the need for new skills has never been greater. Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real-world experts. By combining these strengths, we can connect more people and organizations to the skills they need, when they need them.

Shape What Comes Next

By joining our team, you’ll have the opportunity to reshape how the world learns and applies skills - and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale.

Job Overview

As a Senior Software Engineer, you will join a fast-paced innovation team that builds and deploys AI-powered solutions directly with Coursera's enterprise and campus customers. You will sit at the intersection of AI/Data Engineering, cloud and security architecture, and customer-facing solutioning - working hands-on with customers to map their workflows and data, prototype solutions quickly, and harden the ones that prove valuable into production deployments.

You'll operate across the full engagement lifecycle: scoping a customer's environment and pain points like a consultant, prototyping working demos in real time with the customer, and then hardening the strongest patterns into production-grade, secure and compliant deployments. This role is customer-facing and will require regular travel to customer sites (domestic and occasionally international) for discovery, prototyping, and go-live phases of engagements. You will work closely with Product Managers, AI Specialists, Data Analysts, and other Engineers on the team, and directly with customer executive sponsors and IT/data owners, to decide what gets standardized, deployed, or retired.

Key Responsibilities

Scope customer environments directly with executive sponsors and IT/data owners - mapping systems, data models, and workflows to identify the real business problem, not just the stated one
Rapidly prototype and demo working solutions in front of customers, iterating in real time to prove value fast
Serve as the bridge between customer & core engineering team to harden validated prototypes into production deployments
Design and implement multi-tenant, hybrid, or customer-controlled deployment architectures, as per customer's data residency, privacy, and IT-maturity requirements
Build and own identity and access management, encryption, and secure cross-network connectivity (mTLS, VPC peering/PrivateLink, API gateways) for customer-embedded deployments
Bring security, data-residency and compliance judgment into discovery conversations before a commercial commitment is made, not after
Own CI/CD, observability, and production support for systems living inside customer environments
Recognize repeatable patterns across customer engagements and feed field evidence back to Product to inform what should be standardized, deployed more broadly, or retired
Collaborate closely with Product Managers, AI Specialists, and Program Managers to scope problem statements with a laser focus on customer and business impact
Travel to customer sites as needed (expect regular travel) to support scoping, prototyping, and go-live phases of an engagement, including in-person workshops and executive readouts

Basic Qualifications

5+ years of experience in a software engineering role, with strong hands-on backend engineering and cloud infrastructure experience
1+ years of experience building production-grade agentic AI solutions
Proficiency in backend languages such as Python, Java, Typescript and technologies such as Docker, Kubernetes and Kafka with comfort working across the stack
Deep understanding of cloud platforms (AWS preferred), able to design and operate both multi-tenant and hybrid customer-cloud deployment models
Strong experience with data engineering fundamentals - ingesting, cleaning, and normalizing messy, inconsistent customer data across disparate source systems
Working knowledge of identity and access management, encryption/key management, and secure network patterns (VPC peering, PrivateLink, mTLS) for customer-embedded or regulated environments
Demonstrated comfort operating directly with customers - scoping ambiguous problems, running discovery, and demoing work-in-progress solutions live, in person and remotely
Willingness and ability to travel regularly to customer sites, domestically and occasionally internationally, as engagement needs require
Prior experience leading projects and debugging complex issues with minimal supervision

Preferred Qualifications

Experience with modern agentic AI tooling such as LangChain, LangGraph, FastMCP, RAG, or MCP
Experience with Postgres, DuckDB, pgvector, or similar analytical/transactional data layers
Prior experience in a solutions engineering, professional services, or technical consulting role where you owned a customer relationship end-to-end, including on-site engagement
Familiarity with data privacy and residency regimes relevant to enterprise/education/government customers (e.g., GDPR, FERPA, DPDPA, HIPAA)
Demonstrated ability to work in a fast-paced, ambiguous environment and make sound technical trade-offs with limited guidance
Excellent communication skills, with the ability to translate technical constraints into terms an executive sponsor or non-technical stakeholder can act on

Why Join Us?

Work on high-visibility engineering problems with direct, measurable impact on enterprise and campus customers
Work directly with strategic customers across geographies, owning engagements end-to-end rather than a narrow slice of a roadmap
Directly influence what graduates from customer-facing custom solutions into Coursera's core product
Be part of a lean, cross-functional team (Engineering, AI Specialists, Product, Program Management) with high autonomy and high trust and become a go-to technical leader
Be part of a mission-driven company transforming global access to education and upskilling in the AI era

Compensation

Coursera offers competitive pay and fair compensation practices across all regions. Job titles may span multiple career levels, and the targeted hiring base salary range for this role in Canada is $137,000 to $172,000. Actual compensation will depend on factors such as experience, education, transferable skills, business needs, and location. This range may be adjusted over time and may include eligibility for variable pay, equity, and comprehensive benefits.

For more information about how Coursera collects and uses your personal information, please see our Coursera + Udemy Global Applicant Privacy Notice.

To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page.

If you encounter suspicious recruitment activity, please report it via our Fraudulent Activity Submission Form.

Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at recruiting@coursera.org.

Apply About employer

More about this job

Responsibilities

Scope customer environments and business problems, rapidly prototype AI-powered solutions with customers, and turn validated prototypes into secure, production-grade deployments. Own deployment architecture, identity and access management, connectivity, CI/CD, observability, and production support while sharing repeatable customer insights with Product.

Requirements

Requires at least five years of software engineering experience, including strong backend and cloud infrastructure skills, and at least one year building production-grade agentic AI solutions. Candidates should have data engineering and security expertise, be comfortable leading customer discovery and live demos, and be able to travel regularly.

Skills

Backend Engineering
Cloud Infrastructure
Agentic AI
Python
Java
TypeScript
Docker
Kubernetes
Kafka
AWS
Data Engineering
Identity and Access Management
Encryption and Key Management
Secure Network Architecture
Customer Discovery and Solutioning
CI/CD and Observability

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
LangChain
LangGraph
FastMCP
Retrieval-Augmented Generation
MCP
Python
Java
TypeScript
Docker
Kubernetes
Kafka
AWS
Postgres
DuckDB
pgvector
Data Engineering
Multi-Tenant Architecture
Hybrid Cloud Deployment
Identity and Access Management
Encryption and Key Management
mTLS
VPC Peering
PrivateLink
API Gateways
CI/CD
Observability
Data Residency
GDPR
FERPA

Report this job