Jobs in Canada

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Added 1 hour ago
OA
AI Integration Engineer
Outlier AI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We bring at least 2 years of experience in backend engineering, AI automation, or integrating complex systems.
Added 1 hour ago
OA
AI Workflow Engineer
Outlier AI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We bring at least 2 years of experience in backend engineering, AI automation, or integrating complex systems.
Added 1 hour ago
OA
AI Tools Engineer
Outlier AI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We have at least 2 years of experience in backend engineering, AI automation, or integrating complex systems.
Added 2 hours ago
SI
Full Stack Engineer
Stelvio Inc.
Saskatoon, SK
- Full-time
Proficiency in languages such as Java, C#, Python or JavaScript.
Added 4 hours ago
M
Senior Full Stack Java Engineer
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to design, develop, and support scalable cloud-native applications that power Workforce Management (WFM), Customer Experience (CX), and…
Added 5 hours ago
M
Senior Full Stack Java Engineer
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to design, develop, and support scalable cloud-native applications that power Workforce Management (WFM), Customer Experience (CX), and…
Added 5 hours ago
EG
Développeur(-euse) de logiciels sénior(e) (contenu) / Senior Software Development Engineer
Expedia Group
Montreal, QC · Canada - Quebec - Montreal
- Full-time
Added 5 hours ago
U
Senior Software Engineer, Applied AI & Customer Solutions
Udemy
Toronto, ON
- Full-time
Proficiency in backend languages such as Python, Java, Typescript and technologies such as Docker, Kubernetes and Kafka with comfort working across the stack
Added 5 hours ago
Software Engineer, Web3 Backend
Robinhood
Toronto, ON
As a Software Engineer, you’ll build and own backend services, infrastructure, and data systems that support Robinhood’s next-generation crypto, web3, and wallet offerings. You’ll develop…
Added 5 hours ago
CO
Intern, Full Stack Software Engineer - Summer 2027
Capital One
Toronto, ON
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Intern, Full Stack Software Engineer - Summer 2027
Added 5 hours ago
CO
Associate, Software Engineer, New Grad
Capital One
Toronto, ON
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Associate, Software Engineer, New Grad
Added 5 hours ago
CO
Associate, Software Engineer, New Grad
Capital One
Toronto, ON
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Associate, Software Engineer, New Grad
Added 8 hours ago
M
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to join the Workforce Management product stream and build reliable solutions for forecasting, staffing, scheduling, real-time adherence,…
Added 8 hours ago
M
Senior Full Stack Java Engineer
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to design, build, test, and maintain reliable full-stack applications. You will use Java and Spring Boot to develop scalable backend…
Added 8 hours ago
M
Senior Full Stack Java Engineer
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to design, build, test, and maintain reliable full-stack applications. You will use Java and Spring Boot to develop scalable backend…
Added 8 hours ago
M
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to join the Workforce Management product stream and build reliable solutions for forecasting, staffing, scheduling, real-time adherence,…
Added 9 hours ago
M
Senior Full Stack Java Engineer
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to design, build, test, and maintain reliable full-stack applications. You will use Java and Spring Boot to develop scalable backend…
Added 9 hours ago
M
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to join the Workforce Management product stream and build reliable solutions for forecasting, staffing, scheduling, real-time adherence,…
Added 9 hours ago
H
Senior Full Stack Engineer (Azure Cloud Platform)
HCLTech
Calgary, AB
- Full-time
Develop backend services using Node.js, Python, .NET, or Java.
Added 9 hours ago
M
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to join the Workforce Management product stream and build reliable solutions for forecasting, staffing, scheduling, real-time adherence,…
Added 10 hours ago
R&
Level IV Quality Engineer (QE)
Robertson & Company Ltd.
Toronto, ON
- Contract
Robertson is seeking a skilled Level IV Quality Engineer (QE) to join our client in support of an existing vacancy.
Added 10 hours ago
Senior Software Engineer, Applied AI & Customer Solutions
Coursera
Toronto, ON
Proficiency in backend languages such as Python, Java, Typescript and technologies such as Docker, Kubernetes and Kafka with comfort working across the stack
Added 12 hours ago
M
Software Engineer - Front End
Microsoft
Vancouver, BC
- Full-time
The Observability Experiences team is hiring a Software Engineer 2 to build the next generation of tools and technologies for monitoring services and infrastructure in Azure and Microsoft…
Added 12 hours ago
H
Full Stack Engineer, Client Performance and Management Information (CPMI)
HSBC
Toronto, ON
- Full-time
Join the Client Performance and Management Information (CPMI) technology team in Toronto as a Software Engineer focused on full stack development across JavaScript, Node.js, and modern…
Added 17 hours ago
Full Stack Engineer, Client Performance and Management Information (CPMI)
HSBC Global Services Limited
Toronto, ON
Join the Client Performance and Management Information (CPMI) technology team in Toronto as a Software Engineer focused on full stack development across JavaScript, Node.js, and modern…

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

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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.

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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

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