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Added 1 day ago
Data Architect
Insight
Toronto, ON
Full-time
Experience with cloud-based data platforms and technologies such as Microsoft Fabric, Databricks, Snowflake, Azure Data Factory, Synapse, AWS Redshift, Google BigQuery, or comparable…
Added 1 day ago
Data Architect
Insight Enterprises, Inc.
Toronto, ON
Experience with cloud-based data platforms and technologies such as Microsoft Fabric, Databricks, Snowflake, Azure Data Factory, Synapse, AWS Redshift, Google BigQuery, or comparable…
Added 3 days ago
Middle/Senior Forward Deployed Engineer (Python, AI)
Urban Ridge Supplies
Toronto, ON
Full-time
We're an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google,…
Added 3 days ago
Team Lead
Deloitte
Toronto, ON
Full-time
The ideal candidate is a tech-centric, Team Lead with experience ensuring project delivery. With proven experience leading enterprise data programs and managing delivery within complex…
Added 3 days ago
Data Engineer II - CPB Data Curation
TD
Toronto, ON
Full-time
Analyze and understand business and data requirements to develop complete ETL solutions under the guidance of senior peers and tech leads.
Added 3 days ago
Analytics Engineer
Cymax Group Technologies
Vancouver, BC
$100,000 to $120,000 CAD / year
…technology, data-driven insights, and seamless logistics. We’re a tech-driven brand accelerator in home, lifestyle, and adjacent categories. Our proprietary platforms - Channel Gate and…
Added 3 days ago
Data Analyst
Cymax Group Technologies
Vancouver, BC
$100,000 to $120,000 CAD / year
Full-time
…technology, data-driven insights, and seamless logistics. We’re a tech-driven brand accelerator in home, lifestyle, and adjacent categories. Our proprietary platforms - Channel Gate and…
Added 20 days ago
Canada-Technical Program Manager (Technical Services, 8 Month-Contract)
PointClickCare
Mississauga, ON
Full-time
…care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of…
Added 10 days ago
Tech Lead | Canada
Cuesta Partners
Remote, Canada
$140,000 to $275,000 CAD / year
Full-time · Remote
Cuesta Partners is looking for a Data Technical Lead in Canada with an interest in consulting, to work with our broad base of clients on various engagements, delivering data environments…
Added 23 days ago
AI practice lead - Financial services and Insurance
EPAM Systems
Canada
Full-time
Current cloud certifications for Amazon Web Services, Google Cloud Platform, Microsoft Azure, or Databricks
Added 24 days ago
Middle/Senior Forward Deployed Engineer (Python, AI)
Exadel
Canada
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google,…
Added 29 days ago
Master Data Management & Engineering - Sr Consultant
Deloitte
Toronto, ON
Full-time
Be empowered to lead and have impact with clients, our communities and in the office.
Added 1 month ago
Tech Data Delivery Lead
Accenture
Toronto, ON
Full-time
…legacy data estates into intelligence-first platforms. Want to lead the engagements that make that transformation real for our clients? Read on to learn more about this role and who we are…
Added 1 month ago
Principal Software Engineer - Big Data & Java
PointClickCare
Mississauga, ON
Full-time
…care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of…
Added 26 days ago
BCG Platinion | Senior AI Tech Consultant, Tech Advisory & Delivery
Boston Consulting Group
Toronto, ON
$160,000 CAD / year
Full-time
BCG's Tech and Digital Advantage (TDA) practice focuses on helping clients deliver competitive advantage and business superior performance through data, technology and digital. BCG…
Added 1 month ago
Senior Full Stack Developer
CGI
Toronto, ON
Full-time
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…
Added 3 months ago
Senior Site Reliability Engineer, AI Infrastructure
PointClickCare
Mississauga, Ontario
$139,000 to $155,000 CAD / year
Full-time
…and leading incident response across cloud environments like Databricks, Azure AI suites. The team collaborates closely with research, platform, data, and security teams across the AI…
Added 2 months ago
Senior Data Engineer
ShyftLabs
Toronto, ON
Full-time
ShyftLabs is seeking an experienced Senior / Lead Data Engineer to lead the design, architecture, and delivery of enterprise-scale data platforms for Fortune 500 organizations. This is a…
Added 16 days ago
Credit Tech senior Manager
PwC
Toronto, ON
Full-time
…FICO, Moodys), cloud data and analytics platforms (for example, Databricks, Google Cloud, Microsoft Azure, AWS), and statistical and modeling environments (for example, SAS, Python,…
Added 2 months ago
Part Time - Data Architect
Architech
Toronto, ON
Part-time
Build the data foundation that makes enterprise AI possible. Design secure, scalable platforms across Fabric, Azure and Databricks that make data ready for analytics and AI.
Added 18 days ago
Generative AI Data Scientist & ML Engineer
Royal Bank of Canada
Toronto, ON
Full-time
Experience with cloud platforms and tools such as Databricks, Azure Databricks, and AWS S3.
Added 18 days ago
Tech Delivery Lead-AI&Data
Accenture
Toronto, ON
Full-time
…legacy data estates into intelligence-first platforms. Want to lead the engagements that make that transformation real for our clients? Read on to learn more about this role and who we are…
Added 18 days ago
Generative AI Data Scientist & ML Engineer
RBC
Toronto, ON
Full-time
Experience with cloud platforms and tools such as Databricks, Azure Databricks, and AWS S3.
Added 2 months ago
Manager, Data Engineering
Moneris
Toronto, Ontario
Full-time
Lead the data engineering function, delivering reliable, scalable, and secure data platforms and pipelines that power Moneris' business, operational, and analytics needs.
Added 3 months ago
Senior Site Reliability Engineer, AI Infrastructure
PointClickCare
Mississauga, Ontario
Full-time
…and leading incident response across cloud environments like Databricks, Azure AI suites. The team collaborates closely with research, platform, data, and security teams across the AI…

CGI

Senior Full Stack Developer

Toronto, ON, Canada

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

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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.

Apply About employer

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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