Find work in Canada.

339,243 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 1 min ago
P
Senior Product Manager, Digital Assets Squad
Purpose
Toronto, ON
- Full-time
Purpose Unlimited is looking for a Senior Product Manager to bring dedicated, full-time leadership to the Digital Assets Squad - owning the roadmap, the figures of merit, and the ship date…
Added 1 min ago
P
Senior Product Manager, Fund Management
Purpose
Toronto, ON
- Full-time
Added 1 min ago
Y
Senior QA Automation Engineer (Playwright)
Yochana
Montreal, QC
- Full-time
Position Name – Senior QA Automation Engineer
Added 2 mins ago
Environmental Engineer or Scientist
GHD Group Pty Ltd
Calgary, AB
We are currently seeking an Intermediate Environmental Engineer/Scientist (Field work) to join our team in Calgary Alberta.
Added 2 mins ago
GM
Senior Software Developer - Virtualization and SIL Integration
General Motors
Markham, ON
- Full-time
…of Virtualization and Software-in-the-Loop (SIL) Integration Engineer to support our Test Environment Agile Release Train (SIL…
Added 17 mins ago
L
Senior Yocto Developer Toronto
Litmus
Remote, Canada
- Full-time
- Remote
We are looking for a highly skilled and passionate Senior Yocto & Linux Software Engineer to join our engineering team in Toronto. In this role, you will be responsible for developing,…
Added 27 mins ago
T
Senior AI Engineer (GCP/Vertex AI) Contract
TekRek
Canada
- Contract
This is a senior, hands-on AI/ML engineering contract on a lean delivery team that builds mainly on Google’s AI stack. The team has no business analysts and no separate UAT phase. Engineers…
Added 59 mins ago
SI
Senior Cryptographic Protocol Engineer
SuperQubit Inc.
Markham, ON
- Full-time
Job Title: Senior Cryptographic Protocol Engineer
Added 1 hour ago
P&
Stage - Hiver 2027 - Développement Logiciel Avancé, Méthodes Numériques / Internship - Winter 2027 - Advanced Software Development, Numerical Methods
Pratt & Whitney
Longueuil, QC
- Full-time
Added 1 hour ago
AC
Senior Programme Manager- Electrification
Accenture Construct
Toronto, ON
- Full-time
The Senior Programme Manager – Electrification is responsible for the overall leadership, planning and successful delivery of complex railway electrification programmes, including Overhead…
Added 1 hour ago
JW
Senior Software Engineer, Tokenization
Jobs Web3
Toronto, ON
- Full-time
As a Senior Software Engineer, you will design and build the core systems that issue, custody, and settle tokenized equities on-chain and keep them in sync with traditional brokerage and…
Added 1 hour ago
RI
Senior Full Stack Engineer - Java /
Rose International
Mississauga, ON
- Full-time
Job Title: Senior Full Stack Engineer - Java / AI
Added 1 hour ago
S
Senior Software Engineer, Platform & Infrastructure
Spellbook
Canada
- Full-time
Spellbook is seeking a generalist Platform and Infrastructure Engineer to join our team. In this role, you'll work across our entire technical stack - from infrastructure (AWS, MongoDB,…
Added 1 hour ago
G
Demand Generation Manager
Guusto
Canada
- Full-time
This is a senior individual contributor role. Our Director of Growth Marketing will lead strategy and our rapidly-growing partner channel. You’ll keep the core engine running and improving,…
Added 1 hour ago
R
Data Engineering Manager
Relay
Remote, Canada
- $207,000 to $253,000 CAD / year
- Full-time
- Remote
Lead and grow a senior team of data engineers. With an experienced team in place, your role is to provide direction, challenge thinking, and help the team make decisions and move work…
Added 1 hour ago
PE
Senior Security Engineer
PheedLoop Events
Toronto, ON
- Full-time
Comfort in modern stacks like Python / Django, React, and AWS. You don't need to be a senior software engineer, but you can read application code, understand a deployment pipeline, and…
Added 1 hour ago
MI
Project Engineer II
Mondelēz International
Hamilton, ON · Plant - Hamilton, Canada
- Full-time
Senior-level technical expertise across engineering disciplines
Added 2 hours ago
YD
Senior Machine Learning Engineer (Consulting)
Yeji Data Lab
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We are looking for a Senior Machine Learning Engineer to design, build, and deploy scalable ML solutions for our clients. You will work across diverse projects, collaborating with…
Added 2 hours ago
B&
Staff Transmission Engineer - Transmission & Distribution (Toronto)
Burns & McDonnell
Toronto, ON
- Full-time
The Staff Transmission Engineer will work on project teams to create world class designs for new projects, alterations and redevelopments on a variety of projects including underground and…
Added 2 hours ago
Platform Engineer
Scotiabank
Toronto, ON
The Platform Engineer will play a critical role within the Enterprise Data & AI Technology organization - one of Scotiabank’s most significant enterprise-wide strategic initiatives. This…
Added 2 hours ago
Senior Platform Engineer
Scotiabank
Toronto, ON
The Senior Platform Engineer will play a critical role within the Enterprise Data & AI Technology organization - one of Scotiabank’s most significant enterprise wide strategic initiatives.…
Added 2 hours ago
GM
Senior Software Developer
General Motors
Markham, ON · Oshawa, ON
- Full-time
This role is for a hands-on senior engineer who can design, implement, test, deploy, and operate reliable backend systems at production scale. The developer will contribute across REST…
Added 2 hours ago
E
iOS Engineer - SE3
eBay
Toronto, ON
- Full-time
As an iOS Software Engineer on the Native Focused Category team, you'll contribute to building and improving features within eBay's core iOS application. You'll work primarily with Swift…
Added 2 hours ago
M
Senior Software Engineer, Web & SDK
Mecka
Remote, Canada
- $160,000 to $200,000 CAD / year
- Full-time
- Remote
The data we capture is only as valuable as the tools people use to work with it. As Application / Platform Engineer, you build the web viewers and players that make our egocentric data…
Added 2 hours ago
'
Principal Engineer, Digital Manufacturing
''
Toronto, ON
- Full-time
Position Title: Principal Engineer, Digital Manufacturing

Coursera

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.

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.
Posting language: English
Posted: Oct 6, 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

You will scope customer environments, prototype AI-powered solutions, and harden them into production-grade deployments. The role involves working directly with executive sponsors and IT owners to bridge the gap between customer needs and core engineering.

Requirements

Candidates must have 5+ years of software engineering experience with strong backend and cloud infrastructure skills. Proficiency in Python, Java, or Typescript and experience with agentic AI solutions are required, along with a willingness to travel.

Skills

Python
Java
Typescript
Docker
Kubernetes
Kafka
AWS
Data engineering
Identity and access management
Encryption
Agentic AI
LangChain
RAG
Postgres
Cloud architecture
Solutions engineering

Benefits

Equity
Variable pay
Comprehensive benefits

Visa sponsorship

Not detected in the job text

Keywords

Software Engineering
Applied AI
Cloud Infrastructure
Backend Engineering
Agentic AI
Python
Java
Typescript
Docker
Kubernetes
Kafka
AWS
Data Engineering
Identity and Access Management
Encryption
VPC Peering
PrivateLink
mTLS
LangChain
LangGraph
RAG
Postgres
DuckDB
Solutions Engineering
Technical Consulting
GDPR
FERPA
HIPAA
CI/CD
Observability

Report this job