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Added 13 mins ago
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Director, MEP & Electrical Infrastructure, Bell AI Fabric
Bell
Calgary, AB
- Full-time
…deliver advanced solutions in areas such as IoT, Mobility/5G, Cloud, Cyber Security, Voice, Collaboration & Contact Centre and Internet & Private…
Added 13 mins ago
H
Senior Quality Engineer
Hays
Toronto, ON
- $65 to $80 CAD / hour
- Contract
Senior Quality Engineer (Data Platforms & Cloud)
Added 13 mins ago
H
Data Quality Engineer
Hays
Toronto, ON
- Contract
As a Senior Quality Engineer, you will be responsible for defining and implementing quality assurance processes, developing automated tests, identifying and mitigating risks, and ensuring…
Added 13 mins ago
IG
Platform Engineer
Insight Global
Toronto, ON
- $130,000 to $140,000 CAD / year
- Full-time
Insight Global is looking for a Lead AI Engineer to join a leading bank based in Toronto. You will be part of the Cloud Engineering Infrastructure team supporting the platform…
Added 42 mins ago
S
AI Engineer
Stripe
Toronto, ON
- Full-time
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments,…
Added 42 mins ago
SG
Senior Product Solutions Analyst
Scotia Global Asset Management
Toronto, ON
- Full-time
Experience with Google Cloud Platform and pgvector is an asset
Added 42 mins ago
T
Senior Quality Engineer
Tangerine
Toronto, ON
- Full-time
Google Cloud Platform (GCP): BigQuery, Cloud Composer
Added 42 mins ago
ZS
GCP Infrastructure & Cloud SRE Engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Job Title: GCP Infrastructure & Cloud SRE Engineer
Added 45 mins 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 45 mins ago
Software Engineer
Scotiabank
Toronto, ON
As a Software Engineer on Scotiabank’s Data & AI Technology team, you will be involved in designing, building, and scaling our enterprise data catalog and data management solutions…
Added 45 mins ago
Senior Quality Engineer
Scotiabank
Toronto, ON
Google Cloud Platform (GCP): BigQuery, Cloud Composer
Added 45 mins ago
C
Infrastructure DevOps Analyst
Citi
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Senior DevOps Engineer with a strong focus on Python development to join our dynamic Technology team. In this intermediate-level position,…
Added 45 mins ago
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Full-Stack Software Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Cloud based development experience with Azure Kubernetes Services (AKS) or similar platform.
Added 45 mins ago
E
Ingénieur en développement logiciel de tests (SDET)
EXFO
Montreal, QC
- Full-time
Added 1 hour ago
CI
Principal Engineer, Risk and TFM Technologies
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
As Principal Engineer, Risk & Total Fund Management Technology, you will define architectural direction and elevate engineering excellence across critical investment technology platforms…
Added 1 hour ago
R&
Staff Engineer / AI Builder
Robots & Pencils
Canada
- Full-time
…delivery of AI/ML systems. This role is ideal for an experienced engineer who thrives on architectural decisions, can confidently own systems end-to-end, and contributes to technical…
Added 1 hour ago
OS
Senior Forward Deployed Engineer (FDE)
Open Systems Technologies
Toronto, ON
- Contract
Be fluent in at least one major cloud platform and demonstrate the ability to deploy infrastructure as code reliably and repeatably.
Added 1 hour ago
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Cloud Software Engineer
Actalent
Ottawa, ON
- $88 to $111 CAD / hour
- Contract
The Software Developer will support the design, development, testing, and deployment of the Telemetry & Observability Platform (TOP). This enterprise platform integrates vehicle telemetry,…
Added 1 hour ago
T
Senior Quality Engineer
TEEMA
Toronto, ON
- Contract
We’re looking for a Senior Quality Engineer with strong experience in data quality, QA automation, and enterprise data platforms.
Added 1 hour ago
JW
Software Engineer II, Platform
Jobs Web3
Toronto, ON
- Full-time
As a SE II Engineer, Platform you will play a critical role helping to advance Ripple's production infrastructure and release pipelines. Infrastructure Engineers at Ripple are a hybrid of…
Added 1 hour ago
JW
Software Engineer, Web3 Backend
Jobs Web3
Toronto, ON
- Full-time
As a Software Engineer, you’ll build and own backend services, infrastructure, and data systems that support Robinhood’s next-generation crypto, web3, and wallet offerings. You’ll develop…
Added 1 hour ago
SL
Site Reliability Engineer / Release Management & Automation Specialist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
We are looking for a highly motivated, experienced and self-driven technical resource to serve as a Site Reliability Engineer / Release Management & Automation Specialist. This role…
Added 1 hour ago
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Principal AI Engineer, Agentic Models and Data Platforms
RBC
Calgary, AB
- Full-time
Contribute to reference architectures, reusable libraries, and platform components that accelerate delivery across teams.
Added 1 hour ago
PX
Sr. Data Platform Engineer
Project X
Toronto, ON
- Full-time
We are seeking a Senior Data Platform Engineer for our enterprise client. This is a senior, hands-on role focused on modernizing and strengthening a data platform built around Snowflake,…
Added 1 hour ago
C
Senior Data Engineer
Clio
Toronto, ON
- Full-time
We are currently seeking a Senior Data Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative data solutions and being…

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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