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Added 17 mins ago
IL
Technical Customer Support 2
Intrado Life & Safety, Inc.
Montreal, QC · Saint-Laurent, Quebec
- Full-time
…solution de traitement des appels d'urgence basée sur le Web et le Cloud. La prochaine génération de 911 (NG911) est actuellement en cours de développement pour s'adapter aux dernières…
Added 27 mins ago
NS
Senior Site Reliability Engineer (SRE) – CDN & Web Performance
N2P Systems
Toronto, ON
- Full-time
We are seeking a Senior Site Reliability Engineer (SRE) to help build and operate a modern, public-facing enterprise web platform delivered through Adobe Experience Manager (AEM) Edge…
Added 1 hour ago
Systems Development Engineer Intern, Canada 2027
Amazon
Vancouver, BC
At Amazon, our tech isn't just a tool, it's your playground. Our engineers work on scalable systems, cloud services, and customer-facing products that operate at global scale. This is an…
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
Spécialiste en Ingénierie Mécanique - Centre de Données, Mechanical Engineering Specialist – Data Centers, Data Center Field Engineering
Amazon
Varennes, QC
Act as resident engineer during new construction projects. Support construction, commissioning, and turnover.
Added 3 hours ago
Software Development Engineer , Customer Service Technologies
Amazon
Vancouver, BC
We are seeking a Software Development Engineer to join the engineering team building the Network Control Center (NCC) - an AI-native system that will transform how Amazon detects, responds…
Added 4 hours ago
Senior Software Dev Engineer, EC2 Hyperplane
Amazon
Vancouver, BC
…learned into a new failure pattern and a check the next on-call engineer gets for free, then review telemetry requirements with a Seattle dataplane team. Some weeks are mostly building and…
Added 5 hours ago
Data Engineer, Amazon Traffic Engineering
Amazon
Vancouver, BC
We are seeking a talented Data Engineer to join Amazon's Traffic Engineering organization in developing next-generation bot detection and mitigation capabilities. As a Data Engineer, you'll…
Added 14 hours ago
SH
Applied AI Software Engineer
SE Health
Markham, ON
- Full-time
The Applied AI Software Engineer is a hands-on technical role responsible for designing, building, testing, deploying, and supporting secure, reliable artificial intelligence solutions…
Added 16 hours ago
Software Development Engineer II, Advertiser Growth Engine
Amazon
Toronto, ON
- Built world-class text, video, and image localization services leveraging experienced human linguists and machine translation to produce high quality Advertising content.
Added 18 hours ago
M
Senior software engineer: Applied AI
Morningstar
Toronto, ON
- Full-time
We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces,…
Added 18 hours ago
M
Senior Software Engineer- Applied AI
Morningstar
Toronto, ON
- Full-time
We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces,…
Added 22 hours ago
BS
Technical Lead (Full-Stack Engineering & AI)
Brainhunter Systems Ltd
ON · Ontario, Canada
- Contract
…expertise with technical leadership across web applications, APIs, cloud infrastructure, AI-enabled solutions, and enterprise-scale…
Added 1 day ago
Software Development Engineer II, AWS Marketplace
Amazon
Toronto, ON
the center of shaping how customers discover, purchase, and deploy third-party software in the cloud.
Added 1 day ago
Design Verification Engineer - technical lead, Annapurna Labs
Amazon
Toronto, ON
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, and our Custom Silicon organization is revolutionizing how we deliver cloud services to our…
Added 1 day ago
T
Information Security Analyst (Detection Engineer)
TD
Toronto, ON
- Full-time
…practical experience with SIEM platforms, and familiarity with cloud, identity, endpoint, and network security concepts. The role requires hands-on experience with Splunk, Microsoft…
Added 1 day ago
Software Development Engineer II, WW Prime Tech
Amazon
Vancouver, BC
…would actually be worth to them. We want a Software Development Engineer who enjoys large-scale distributed systems and personalization work, where the outcome is measured in members…
Added 1 day ago
Senior Software Development Engineer, AWS Eventbridge
Amazon
Vancouver, BC
We're looking for a senior engineer who can own the design and delivery of large, complex systems and raise the technical bar across the team. As a Senior Software Development Engineer,…
Added 1 day ago
Cloud Support Eng. II (DSE), Support Engineering
Amazon
Toronto, ON · Vancouver, BC
As a Cloud Support Engineer you will learn at an accelerated pace how to use and leverage many different cloud technologies to help our customers succeed. You will act as the Cloud…
Added 1 day ago
V
Lead Optimizely Solutions Architect
Valtech
Canada
- Full-time
At Valtech, we build digital experiences that help the world's leading brands connect with their customers through content, commerce, experimentation, data and AI.
Added 1 day ago
GM
Early Career Software Test Developer - Propulsion Thermal Management
General Motors
Markham, ON
- Full-time
We are seeking a motivated software engineer to help verify and validate Propulsion Thermal Management functions across virtual, simulated, hardware-in-the-loop, and vehicle environments.…
Added 1 day ago
Senior Forward-Deployed AI Engineer 1
Bell
Toronto, ON
…innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the…
Added 1 day ago
A
Senior Machine Learning Engineer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
We are looking for an exceptional Machine Learning Engineer to design, build, operationalize, and scale production-grade AI/ML and Agentic AI systems at Autodesk For Go-to-market…
Added 1 day ago
CI
Senior Microsoft 365 & Unified Communications Engineer
Compugen Inc
Surrey, BC
- Full-time
Management and Operational Support of all User Mailboxes, Shared Mailboxes and Resource Mailboxes, Contacts. This includes recovery of deleted mail and content searches.
Added 1 day ago
PA
Channel Solution Consultant 2
Palo Alto Networks
Toronto, ON · Office - Canada - Toronto
- Full-time
As a Palo Alto Networks Channel Systems Engineer, you are a critical part of the sales team; it is your responsibility to build solutions and enable the partner, work with the partner to…

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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