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Identity Specialist II (Identity and Access Management - IAM Engineer II)
WorkSafeBC
Richmond, BC
- Full-time
…implementations. This role is instrumental in maintaining the security and efficiency of WorkSafeBC’ s business applications by safeguarding access to confidential…
Added 1 min ago
WI
Intermediate Professional, Environmental Science
WSP in Canada
Fredericton, NB
- Full-time
With an unmatched breadth and depth of engineering, advisory and science‑based expertise, our global minds unite to power local solutions.
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Senior Software Developer, Cloud and Platform
Archipelago
Victoria, BC
- Full-time
A strong understanding of data sovereignty and data security, along with cloud infrastructure, including application security, networking, identity, authorization, and secrets management.
Added 1 min ago
TG
rigger - telecommunications
Turris Group
Waverley, NS
- Full-time
Added 1 min ago
GC
Senior Marine Structural Engineer
GEMTEC Consulting Engineers & Scientists Limited
Fredericton, NB
- Full-time
…We're large enough to compete head-to-head with publicly traded engineering giants, but still small enough to maintain the culture and flexibility of a close-knit…
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M
Spécialiste infonuagique et DevOps / Cloud & DevOps Specialist
Montrium
Montreal, QC
- Full-time
Added 1 min ago
DC
Team Leader, Real Property Management
Defence Construction Canada
Yellowknife, NT
- Full-time
Minimum: college diploma in land use, engineering, architecture, facility/property management, business or related field with five years’ relevant experience, or the equivalent
Added 1 min ago
ZS
Network Security Architect
Zodiac Solutions, Inc
Montreal, QC
- Full-time
15+ years of IT experience in designing and delivering enterprise Network Security solutions.
Added 1 min ago
A
Spécialiste en contrôle des modifications d'ingénierie (ECC)
Alithya
Pickering, ON
- Full-time
As an Engineering Change Control (ECC) Specialist, you’ll ensure engineering changes are fully compliant with BP‑PROC‑01081, maintaining configuration and management equilibrium, validating…
Added 1 min ago
CS
AI Security Technical Program Manager
CONFLUX SYSTEMS
Toronto, ON
- $50 to $55 CAD / hour
- Contract
Security Technical Program Manager to lead and coordinate cybersecurity research, engineering, product evaluation, and emerging-technology initiatives from research hypothesis through…
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VC
Python Developer
VBeyond Corporation
Toronto, ON
- Full-time
Backend Engineer – Python (API & Platform Engineering)
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MDU Cable Technician
VistaCare
Halifax, NS
- Full-time
Added 2 mins ago
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Senior Instrumentation Control and Electrical Engineer
AtkinsRéalis
Mississauga, ON
- Full-time
Prepare and review engineering deliverables, including requirements, design documentation, test procedures, commissioning plans, operating manuals, and technical reports.
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T
Software Engineer I
TD
Toronto, ON
- Full-time
Follow TD technology delivery practices, coding standards, security requirements, and project management disciplines.
Added 17 mins ago
JI
Maintenance Supervisor
J.D. Irving, Limited
Halifax, NS
- Full-time
…Canadian Controlled Goods Program (CGP), Canadian Government Security clearance, and U.S. International Traffic in Arms Regulations…
Added 17 mins ago
FS
Sales Account Manager
Fire safety and protection LLC
Windsor, ON
- $75,000 to $95,000 CAD / year
- Full-time
…maintenance, repair, design and installation of their fire and security systems. With continuous training in the latest technologies and regulations, our customers trust us for high-quality…
Added 17 mins ago
FS
Sales Account Manager
Fire safety and protection LLC
Windsor, ON
- $70,000 to $90,000 CAD / year
- Full-time
…maintenance, repair, design and installation of their fire and security systems. With continuous training in the latest technologies and regulations, our customers trust us for high-quality…
Added 17 mins ago
S
Senior Data Engineer
Scene+
Toronto, ON
- Full-time
Reporting to the Senior Manager, Data Engineering and Data Governance, we are looking for a Senior Data Engineer who will play a pivotal role in shaping the next generation of Scene+’s data…
Added 17 mins ago
AP
Assistant Maintenance Technician
Atlantic Poultry
NL
- $16.35 to $24 CAD / hour
- Full-time
Added 32 mins ago
AS
Project Manager
AgileGrid Solutions
Canada
- Full-time
The ideal candidate will possess a bachelor's degree in mechanical engineering, industrial engineering, or a related technical field. A minimum of 3 to 5 years of experience in a…
Added 32 mins 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 32 mins 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 32 mins ago
CP
Senior Engineering Manager
Canada Packers Inc.
Brandon, MB
- Full-time
As Senior Manager, Engineering, you will lead the engineering function at our Brandon facility and oversee a diverse portfolio of capital projects - from smaller site improvements to major…
Added 32 mins ago
3T
Java Developer with AI Tool Experience
360 Technology
Montreal, QC
- Contract
…highly desirable to accelerate software development and improve engineering…
Added 33 mins ago
Field Embedded Solutions Analyst - Construction
Kiewit
Toronto, ON
…This role works side by side with project management, field engineering, superintendents, project controls, and other project staff to identify execution friction, apply trusted data and AI…

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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