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Added 3 mins ago
NG
Desktop Support Engineer (Level 2)
NSC Global
Brantford, ON
- Other
NSC Global is currently looking for a Desktop Support Engineer Level 2 to join our growing company.
Added 3 mins ago
M
Senior DevOps Engineer
Miovision
Remote, Canada
- $130,000 to $170,000 CAD / year
- Full-time
- Remote
We are currently looking for a Senior DevOps Engineer to contribute to the development of our cloud infrastructure and platform tooling, embed security into our engineering lifecycle, and…
Added 3 mins ago
C
Intermediate P&C Engineer
CIMA+
Kelowna, BC · Vancouver, British Columbia
- $106,720 to $146,740 CAD / year
- Full-time
…what’s expected of us to meet the challenges of tomorrow and engineer a better…
Added 3 mins ago
C
Intermediate P&C Engineer
CIMA+
Calgary, AB · Vancouver, British Columbia
- Full-time
…what’s expected of us to meet the challenges of tomorrow and engineer a better…
Added 18 mins ago
WI
Senior Technical Director - Tailings, Waste Dumps and Stockpiles
WSP in Canada
Victoria, BC
- Full-time
WSP welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
Added 18 mins ago
O
MEP Technical Services Manager
OCS
London, ON · Bristol-London, ON
- Full-time
Added 18 mins ago
WI
Senior Technical Director - Tailings, Waste Dumps and Stockpiles
WSP in Canada
Victoria, BC
- Full-time
WSP welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
Added 18 mins ago
L
Senior Forward Deployment Engineer
Luxoft
Mississauga, ON
- Full-time
The project is focused on improving the security, release reliability, maintainability, and operational resilience of business-critical banking applications.
Added 18 mins ago
C
Intermediate P&C Engineer
CIMA+
Kelowna, BC
- $106,720 to $146,740 CAD / year
- Full-time
…what’s expected of us to meet the challenges of tomorrow and engineer a better…
Added 18 mins ago
A
Senior QA Automation Engineer / SDET
Affinity
New Westminster, BC
- Contract
On behalf of our client, Affinity is seeking a Senior QA Automation Engineer / Software Development Engineer in Test (SDET) for a 5-month contract. Candidates must be located in the Lower…
Added 18 mins ago
AS
Forward-Deployed Software Engineer (AI Integration & Modernization)
Andromeda Software Inc.
Toronto, ON
- Full-time
Title: Forward-Deployed Software Engineer (AI Integration & Modernization)
Added 18 mins ago
C
Intermediate P&C Engineer
CIMA+
Saskatoon, SK
- Full-time
…what’s expected of us to meet the challenges of tomorrow and engineer a better…
Added 18 mins ago
L
Senior Data Engineer
Luxoft
Toronto, ON
- Contract
We are seeking a hands-on Data Engineer to support the Total Fund Management Portfolio Management Technology team. This role focuses on implementing reliable data solutions in a…
Added 18 mins ago
C
Intermediate P&C Engineer
CIMA+
Calgary, AB
- Full-time
…what’s expected of us to meet the challenges of tomorrow and engineer a better…
Added 18 mins ago
C
Intermediate P&C Engineer
CIMA+
AB · Edmonton, AB
- Full-time
…what’s expected of us to meet the challenges of tomorrow and engineer a better…
Added 18 mins ago
M
Operational Readiness Specialist
Metrolinx
Toronto, ON
- Full-time
Professional Engineer designation or eligibility for registration with Professional Engineers Ontario would be an asset.
Added 18 mins ago
SI
4th Class Operating Engineer
Saputo Inc.
Tavistock, ON
- Full-time
Saputo Dairy Products Canada G.P. is seeking a 4th Class Operating Engineer, for an existing opportunity within our organization. You'll discover a stimulating atmosphere that fosters your…
Added 33 mins ago
UO
Canada Impact+ Emerging Leader in Advanced Manufacturing
University of British Columbia
Vancouver, BC · UBCV | Civil and Mechanical Engineering Building (CEME)
- Full-time
Note: Applications will be accepted until 11:59 PM on the Posting End Date.
Added 33 mins ago
W
Senior Project Engineer - Land Development
WSP
Thornhill, ON
- Full-time
Lead transformative land development projects that help shape growing communities. As a Senior Project Engineer, Land Development, you will combine technical excellence, project leadership,…
Added 33 mins ago
CN
Engineer in Training - Thermal Facilities
Canadian Natural
Calgary, AB
- Full-time
The Thermal Facilities Engineer-in-Training (EIT) Program is a structured, multi-year development program that provides broad exposure to Thermal Operations and Facilities Engineering.…
Added 33 mins ago
AM
Project Coordinator
Aplin Martin
Calgary, AB
- Full-time
Work with the Design Lead and/or Engineer-of-Record to ensure the detailed design process effectively meets the needs of all stakeholders and stays on schedule.
Added 47 mins ago
D
Java Software Engineer
Dexian
Mississauga, ON
- $65 to $70 USD / hour
- Contract
Design, develop, and maintain enterprise-level Java applications.
Added 47 mins ago
TU
Canada Impact+ Emerging Leader in Advanced Manufacturing
The University of British Columbia
Vancouver, BC
- Full-time
Note: Applications will be accepted until 11:59 PM on the Posting End Date.
Added 47 mins ago
C
Intermediate P&C Engineer
CIMA+
Vancouver, BC
- $106,720 to $146,740 CAD / year
- Full-time
…what’s expected of us to meet the challenges of tomorrow and engineer a better…
Added 47 mins ago
AS
Cloud DevOps Engineer
Alquemy Search & Consulting
Vancouver, BC
- $60 to $70 CAD / hour
- Contract
Deploy, configure, and maintain applications on Kubernetes using Helm and Argo CD

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.

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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.

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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

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