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Added 1 month ago
Senior Solutions Architect, ISV Canada
Amazon
Toronto, ON
- Experience designing and implementing complex AI/ML solutions, including generative AI, agentic applications, MLOps patterns, and RAG architectures.
Added 2 months ago
A
Tech Data Delivery Lead
Accenture
Toronto, ON
- Full-time
…governed, and AI-ready data foundations - the fuel that powers agentic and generative AI at enterprise scale. We work across data migration, data modernization, and knowledge engineering,…
Added 2 months ago
L
Sr Data Scientist II
LexisNexis
Toronto, ON
- Full-time
We are looking for a Senior Data Scientist II with deep expertise in Generative AI, Retrieval-Augmented Generation (RAG), and agentic AI systems, combined with strong software-engineering…
Added 2 months ago
S
Software Architect - AI Accelerated Engineering Lead
Slalom
Calgary, AB
- Full-time
As a Software Architect, you will own the architecture of client solutions while pioneering the next generation of AI-empowered software development. You’ll lead teams in adopting AI-first…
Added 4 months ago
K
Senior Manager/Director, Google Gemini Enterprise - Data & AI
KPMG
ON · Toronto, Ontario
- Full-time
…commercial execution, helping organizations unlock value from generative AI and agentic…
Added 2 months ago
TH
Sr. Cyber Security Analyst - AI Security & Microsoft 365 Security
Trillium Health Partners
Mississauga, ON
- Full-time
…assessing, and mitigating cybersecurity risks associated with Generative AI, Agentic AI, Large Language Models (LLMs), Copilot technologies, AI-powered business applications, and evolving…
Added 2 months ago
S
AI Engineer
Sanofi
Toronto, ON
- Full-time
Design, develop, deploy, and support scalable Generative AI and Agentic AI solutions aligned with strategic priorities across Sanofi's Global Business Units
Added 1 month ago
RB
AI-First Quality Engineering Lead
Royal Bank of Canada
Toronto, ON
- Full-time
- Build AI-native automation frameworks - architect test ecosystems that leverage LLMs, generative AI, and intelligent agents to autonomously generate, execute, and triage test cases
Added 2 months ago
R
AI-First Quality Engineering Lead
RBC
Toronto, ON
- Full-time
- Build AI-native automation frameworks - architect test ecosystems that leverage LLMs, generative AI, and intelligent agents to autonomously generate, execute, and triage test cases
Added 2 months ago
M(
Senior Applied Machine Learning Engineer - Asset Intelligence
MaintainX (An Autodesk Company)
Remote, Canada
- $123,000 to $180,000 CAD / year
- Full-time
- Remote
This role sits at the intersection of ML architecture, IoT data systems, and product impact, shaping the foundation for MaintainX’s predictive and generative AI strategy.
Added 2 months ago
I
Inside Sales Representative (AI-DNA)
IgniteTech
Canada
- Full-time
Imagine being the architect behind a seismic shift in how B2B enterprise sales are won - not by tweaking playbooks, but by deploying Generative AI that fundamentally rewires how sales teams…
Added 2 months ago
FR
Senior Director, Engineering - Corporates, Financial Institutions & Sovereigns
Fitch Ratings
Toronto, ON
- Full-time
…LLM-powered workflows, ML models embedded in analytical processes, agentic automation, or AI-augmented developer tooling, bring the depth to evaluate, architect, and champion these…
Added 2 months ago
Sr Director, Enterprise Data and AI Platform
Dayforce
Canada
…learning, and enterprise reporting. In addition, this leader will architect and build the Enterprise Context Layer - a trusted semantic and knowledge platform that unifies business context,…
Added 2 months ago
Lead Software Engineer, Full-Stack Applications - Innovation Teams
Fitch Group
Toronto, ON
Build transformative greenfield solutions from the ground up – Design and architect net-new agentic systems and intelligent platforms using Java/Springboot, REACT, and emerging AI…
Added 2 months ago
A
AWS Connect Engineer
Accenture
Toronto, ON
- Full-time
Experience with Generative AI and Agentic AI solutions.
Added 2 months ago
JG
AWS Solution Architect
J&M Group
Toronto, ON
- Contract
Experience with Generative AI and Agentic AI solutions.
Added 2 months ago
C
Senior Full Stack Developer
CGI
Toronto, ON
- Full-time
Generative AI & Agentic Workflows: Design and implement AI-powered features leveraging LLMs, Retrieval-Augmented Generation (RAG), vector databases, and agentic AI frameworks (such as…
Added 2 months ago
BV
Principal Engineer, Agentic Products & Workflows
Big Viking Games
Toronto, ON
- $175,000 to $200,000 CAD / year
- Full-time
This is a founding-level engineering seat at the center of our AI transformation. You will help architect and build the agentic platform, autonomous engineering workflows, AI-enabled…
Added 1 month ago
Staff Machine Learning Engineer, Generative AI (Auth0)
Okta
Toronto, ON
As a Staff Machine Learning Engineer on the Generative AI team, you will help shape, architect, and accelerate our Generative AI strategy by contributing across the stack of model…
Added 2 months ago
Senior Director, Engineering - Corporates, Financial Institutions & Sovereigns
Fitch Group
Toronto, ON
…LLM-powered workflows, ML models embedded in analytical processes, agentic automation, or AI-augmented developer tooling, bring the depth to evaluate, architect, and champion these…
Added 2 months ago
C
Senior AI Developer, Agentic AI
CIMA+
Montreal, QC
- Full-time
We're looking for a Senior AI Developer, Agentic AI to design, build, and operate production-grade AI solutions that accelerate productivity, innovation, and decision-making across CIMA+.…
Added 2 months ago
JG
Oracle AI Architect
J&M Group
Toronto, ON
- Full-time
…solutioning of enterprise-grade AI applications| focusing on Generative AI and Agentic AI frameworks.OCI Implementation: Architect end-to-end pipelines using OCI GenAI services| Data…
Added 2 months ago
A
AWS Migration and Agentic IT / Solution Architect
Accenture
Toronto, ON
- Full-time
As a Solution Architect, you will play a key role in advancing cloud and AI transformation initiatives by leading solution design for enterprise AWS migration and Agentic AI programs. You…
Added 2 months ago
Senior Python Developer
Ampliwork
Montreal, QC
While experience with Generative AI and agentic systems is important, we are primarily looking for a strong senior Python engineer who knows how to build reliable, scalable enterprise…
Added 2 months ago
Business Consultant - KYC & Client Lifecycle Management
NTT DATA Services
Toronto, ON
Contribute to Generative AI and Agentic AI initiatives and identify opportunities to incorporate AI capabilities into enterprise solutions.

CGI

Senior Full Stack Developer

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Aug 11, 2026

Original job description

Position Description

Location: Toronto, ON / Montreal, QC Preferred

Languages: Bilingual (English / French) Preferred

Employment Type: Full-Time, Permanent

CGI is seeking an experienced Senior Full Stack Developer to join our growing Software Engineering Practice within the Emerging Technologies team.

As a full-time member of CGI, you will join a collaborative team of architects, developers, and consultants delivering modern enterprise technology solutions for leading public and private sector organizations across Canada. You will help clients design, build, modernize, and scale custom end-to-end applications - spanning intuitive user interfaces, robust microservices, data integrations, cloud-native deployments, and cutting-edge AI capabilities.

Rather than specializing strictly in a single layer or static tech stack, you will leverage sound engineering fundamentals to deliver scalable, secure, and resilient applications across a variety of industries, languages, and client environments.

Your future duties and responsibilities

Full-Stack Software Engineering

Frontend Development: Design and build modern, responsive, accessible, and performant user interfaces using JavaScript/TypeScript frameworks (such as React, Angular, or Vue.js).

Backend Development: Build high-performance backend systems, microservices, and business logic using modern frameworks (such as Java Spring Boot, .NET 8 / ASP.NET Core, Node.js/NestJS, Python FastAPI, or Go).

API Design & Integration: Design and implement robust APIs (REST, GraphQL, gRPC) and secure integrations with complex internal and third-party systems using API Gateways (e.g., Apigee).

Security & Auth: Implement secure authentication and authorization protocols (e.g., OAuth2, OIDC, Spring Security, Azure AD).

Code Quality & Architecture: Lead technical design sessions, perform peer code reviews, advocate for Test-Driven Development (TDD), and apply Domain-Driven Design (DDD) and event-driven architecture principles.

Software Delivery & Automation

CI/CD Pipelines: Design and maintain automated build, test, and deployment pipelines using tools such as GitHub Actions, GitLab CI/CD, Azure DevOps, or Jenkins.

Pipeline-as-Code: Author and maintain CI/CD configurations using YAML.

Automated Testing: Write comprehensive unit, integration, and end-to-end (E2E) test suites using tools such as JUnit, xUnit, Jest, Cypress, or Playwright to maintain reliability and prevent regressions.

DevSecOps & Quality: Enforce static code analysis and security standards using SonarQube, security scanners, and continuous integration workflows.

Cloud Native & Platform Engineering

Containerization & Orchestration: Deploy and support cloud-native applications utilizing containers and orchestration platforms such as Docker, Kubernetes, Red Hat OpenShift, AKS, GKE, or EKS.

Cloud Infrastructure & Serverless: Build resilient systems on public cloud platforms (AWS, Azure, GCP, OCI) leveraging serverless functions (e.g., Azure Functions, AWS Lambda, Cloud Run) and managed platform services.

Troubleshooting & Optimization: Diagnose complex production issues, memory leaks, and performance bottlenecks across distributed enterprise systems.

Data Engineering & Event Streaming

Database Management: Interface with relational databases (e.g., PostgreSQL, SQL Server, Oracle, DB2) and NoSQL datastores (e.g., MongoDB, Redis, CosmosDB).

Event Streaming & Integration: Build real-time, event-driven messaging applications using tools such as Apache Kafka, RabbitMQ, or SignalR.

Data Integration & Analytics: Support ETL/ELT pipelines (e.g., Azure Data Factory, Snowflake, DBT) and business intelligence tools (e.g., Power BI) where required.

Observability & Security

Telemetry & Monitoring: Ensure system health through logging, monitoring, and tracing using tools such as Datadog, Splunk, Dynatrace, ELK stack, Grafana, Prometheus, Azure Monitor, and OpenTelemetry.

Application Security: Apply OWASP Top 10 mitigations and secure coding guidelines throughout the software development lifecycle.

Emerging Technologies & AI Integration

Generative AI & Agentic Workflows: Design and implement AI-powered features leveraging LLMs, Retrieval-Augmented Generation (RAG), vector databases, and agentic AI frameworks (such as Microsoft Semantic Kernel, LangChain4j, Spring AI, or Model Context Protocol).

AI Tooling & Governance: Utilize AI coding assistants (such as GitHub Copilot or Amazon Q) to accelerate development and support enterprise AI governance and responsible AI principles.

Innovation: Contribute to proof-of-concepts (PoCs), reusable code accelerators, and technical practice assets.

Consulting & Team Leadership

Client Engagement: Partner directly with client business and technical stakeholders to translate business requirements into pragmatic technical designs.

Mentorship: Guide and mentor junior and intermediate engineers, promoting engineering excellence and practice growth.

Estimation & Strategy: Participate in solution design, technical estimations, proposals, and architecture review sessions.

Required Qualifications To Be Successful In This Role

Engineering Experience

Professional Experience: Demonstrated track record of designing, building, and supporting custom enterprise applications across frontend and backend domains.

Architectural Knowledge: Deep understanding of modern software architecture principles (Microservices, Event-Driven Architecture, Domain-Driven Design, RESTful services).

Adaptability: Proven ability to quickly learn and adapt to new programming languages, frameworks, and cloud services depending on client engagement requirements.

Technologies We Commonly Work With

Depending on client engagements and project needs, you will work with technologies such as:

Category

Representative Technologies & Frameworks

Frontend

JavaScript, TypeScript, React, Angular, Vue.js, HTML5/CSS3

Backend

Java 17+ (Spring Boot, Spring Security, Hibernate) OR C# / .NET 8 (ASP.NET Core, EF Core) OR Node.js (NestJS, Express) / Python (FastAPI, Django) / Go

APIs & Integration

REST, GraphQL, gRPC, OpenAPI/Swagger, API Gateways (e.g., Apigee), OAuth2, OIDC

Cloud & DevOps

Azure, AWS, GCP, Docker, Kubernetes (AKS / GKE / OpenShift), Terraform, Bicep, GitHub Actions, Azure DevOps, Jenkins

Databases & Data

PostgreSQL, SQL Server, Oracle, MongoDB, Redis, CosmosDB, Apache Kafka, RabbitMQ

Testing & Quality

JUnit, xUnit, Jest, Cypress, Playwright, SonarQube, TDD/BDD

Observability

Datadog, Splunk, Dynatrace, ELK Stack, Grafana, Prometheus, Azure Application Insights

(Note: Candidates are not expected to have expertise in all listed technologies, but rather deep expertise in one or more core areas along with a strong willingness and ability to adapt.)

Professional & Consulting Skills

Strong analytical, problem-solving, and debugging skills.

Excellent verbal and written communication skills (English required; French is a strong asset).

Ability to present complex technical ideas clearly to both business leaders and technical teams.

Strong collaborative mindset with experience working in Agile/Scrum delivery teams.

Nice-to-Have Assets

Experience with any of the following is considered an asset:

Integrating Large Language Models (LLMs) and RAG using frameworks like LangChain, Semantic Kernel, or Spring AI.

Platform engineering tools, internal developer portals (e.g., Backstage), or Infrastructure as Code (Terraform, Bicep).

Cloud data platforms (e.g., Snowflake, Databricks, Azure Data Factory).

Industry domain knowledge in Financial Services, Insurance, Public Sector, Healthcare, Telecommunications, or Utilities.

Why Join CGI?

At CGI, you will join an inclusive, collaborative community of software engineers and architects driving enterprise digital transformation.

As a permanent member of CGI's Software Engineering Practice, you will enjoy:

Diverse Projects: Work on high-impact projects across different industries without changing employers.

Career Development: Structured career growth paths into Lead Developer, Software Architect, Principal Architect, or Technical Practice Leadership roles.

Continuous Learning: Access to enterprise learning subscriptions, certifications, innovation labs, and emerging technology communities.

Collaborative Culture: Work alongside passionate engineers who value quality, continuous improvement, and knowledge sharing.

CGI is providing a reasonable estimate of the pay range for this role. The determination of this range includes factors such as skill set level, geographic market, experience and training, and licenses and certifications. Compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000-$145,000 This role is a future opportunity.

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

At CGI, we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal-opportunity employer, being able to perform your best during the recruitment process is important to us. If you require an accommodation, please inform your recruiter.

That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.

To learn more about accessibility at CGI, contact us via email. Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries.

Come join our team - one of the largest IT and business consulting services firms in the world.

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More about this job

Responsibilities

You will design, build, and modernize custom end-to-end enterprise applications using a variety of modern frameworks and cloud-native technologies. Additionally, you will partner with stakeholders to translate business requirements into technical designs while mentoring junior and intermediate engineers.

Requirements

Candidates must have a demonstrated track record of building custom enterprise applications with deep knowledge of modern software architecture principles. Proficiency in one or more core technology stacks and the ability to adapt to new languages and cloud services is essential.

Skills

Full stack development
Java
C#
TypeScript
React
Angular
Microservices
Cloud-native
CI/CD
Kubernetes
Docker
SQL
NoSQL
Generative AI
API design
Agile

Benefits

Career development
Continuous learning
Collaborative culture
Inclusive community

Visa sponsorship

Not detected in the job text

Keywords

Full Stack Developer
JavaScript
TypeScript
React
Angular
Vue.js
Java
Spring Boot
C#
.NET 8
Node.js
Python
Go
Microservices
REST
GraphQL
gRPC
CI/CD
Docker
Kubernetes
AWS
Azure
GCP
PostgreSQL
MongoDB
Kafka
Generative AI
RAG
Agile
Scrum

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