Jobs in Canada

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Added 1 month ago
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Senior Sales Engineer
Ataccama
Toronto, ON
- Full-time
As a Senior Sales Engineer, you will work closely with Account Executives to drive sales engineering activities across the entire deal lifecycle. This role requires adaptability, deep…
Added 1 month ago
TC
RPA Platform Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
…clients, its investors, its employees, and the community at large. With a highly skilled workforce spread across 56 countries and 194 service delivery centers across the world, the company…
Added 1 month ago
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ML Engineer - Reconstruction
Peripheral
Toronto, ON
- $100,000 to $150,000 CAD / year
- Full-time
Candidates must have the legal right to work in Canada and be willing to relocate to Toronto for an in-office role
Added 1 month ago
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Senior Product Engineer II - Backend
Docebo
Remote, Canada
- $123,400 to $164,500 CAD / year
- Full-time
- Remote
…focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a…
Added 1 month ago
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Senior Python Engineer - Data Platforms
Highspring
Montreal, QC
- Full-time
Highspring is seeking a Senior Python Engineer to join a high-performing Data & AI team responsible for building modern data platforms that power advanced analytics and machine learning…
Added 1 month ago
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Senior Data Engineer
Scene+
Toronto, ON
- Full-time
This job posting is for an existing vacancy that is a full-time, hybrid role working three days per week on site in our Toronto office
Added 1 month ago
IC
Forward Deployed AI Engineer – System Test Automation
Infomatics Corp
Ottawa, ON
- Contract
We are seeking a Forward Deployed AI Engineer (FDE) to accelerate the real-world adoption of AI within our End-to-End System Test Automation. This role focuses on taking AI tools and…
Added 1 month ago
SA
Senior Application Support Engineer (Trading & Market Data)
Solactive AG
Toronto, ON
- Full-time
Scripting experience with Bash and/or Python.
Added 1 month ago
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Senior Software Engineer, Applied AI & Customer Solutions
Udemy
Toronto, ON
- Full-time
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…
Added 1 month ago
Software Engineer, Web3 Backend
Robinhood
Toronto, ON
These roles are based in either our Toronto, Canada office, with in-person attendance expected at least 3 days per week
Added 1 month ago
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AI Workflow & Operations Intern
Semtech
Richmond, BC · CAN - Richmond, BC
- $25 to $28.5 CAD / hour
- Full-time
…and making them work better. You don’t need to be a software engineer - but you do need to be comfortable with data, curious about AI, and motivated by operational impact. If you’ve ever…
Added 1 month ago
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Senior Software Engineer
Fleetworthy
AB · Edmonton, AB
- Full-time
…help fleets streamline operations, control costs, and operate with…
Added 1 month ago
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Senior Full Stack Engineer (Azure Cloud Platform)
HCLTech
Calgary, AB
- Full-time
You will work with technologies such as React, TypeScript, Node.js/Python/.NET, Azure, Terraform/Bicep, and GitHub Actions to deliver enterprise-grade solutions while helping establish…
Added 1 month ago
A
Platform & Site Reliability Engineer
adidas
Woodbridge, ON
- Full-time
A hands-on platform engineer who combines AWS administration, DevOps automation, Site Reliability Engineering, observability, security, and cloud operations expertise. The candidate should…
Added 1 month ago
Senior Software Engineer, Applied AI & Customer Solutions
Coursera
Toronto, ON
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…
Added 1 month ago
DevOps Engineer
Varonis
Canada
…critical data, removes exposures, and detects advanced threats with AI-powered…
Added 1 month ago
Dev. Machine Learning Engineering II
Bell
Toronto, ON
For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week
Added 1 month ago
TI
AI Software Development Engineer in Test
Trimble Inc.
Kamloops, BC · Canada - Kamloops, BC
- Full-time
Location: Kamloos, Canada (Onsite - Four Days Per Week)
Added 1 month ago
SI
Staff Cloud Security Engineer
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
As a Staff Cloud Security Engineer, you'll help shape the technical direction of Cloud Security and drive complex architectural investments across our AWS and GCP environments. You'll work…
Added 1 month ago
AI Engineer Intern (Masters)
Electronic Arts
Vancouver, BC
As a Software Engineer with expertise in AI/ML systems and platform development, you will help create a scalable AI Platform.
Added 1 month ago
VM
QA Engineer
Vivid Machines
Toronto, ON
- Full-time
As an Intermediate QA Engineer, you will own the end-to-end Software Testing Life Cycle across our whole product: web applications, mobile apps, backend services, and the camera hardware…
Added 1 month ago
NV
Databricks Architect (ID#5473)
New Value Solutions
Vancouver, BC · Greater Vancouver, BC
- Contract
Experience with Delta Lake, Spark, SQL, Python, notebooks, jobs, workflows, and data engineering pipelines.
Added 1 month ago
TI
AI Software Development Engineer in Test
Trimble Inc.
Kamloops, BC
- Full-time
Location: Kamloos, Canada (Onsite - Four Days Per Week)
Added 1 month ago
IR
Senior Analog IC Design Engineer - Canada
IC Resources
Ottawa, ON
- $120,000 to $200,000 CAD / year
- Full-time
This is a new opportunity for a Senior Analog IC Design Engineer with SerDes experience to join a brand-new team based in Ottawa, Canada, part of one of Europe’s fastest-growing…
Added 1 month ago
SP
Professor, Part-Time
Seneca Polytechnic
Toronto, ON · North York, ON
- Part-time
Professional Engineer (P.Eng.) designation is considered a strong asset, particularly for candidates with experience applying AI in engineering or technology environments.

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 on job-boards.greenhouse.io About employer

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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.
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 on job-boards.greenhouse.io 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

Seniority

Senior

Perks

Stock or equity

Tools

AWS
Docker
Kubernetes
Kafka
LangChain
LangGraph
FastMCP
Postgres
DuckDB
pgvector

Languages

English

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Work requirements

Jobs in Canada