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Added 1 day ago
AI
Sharepoint Developer
Apptoza Inc.
Vancouver, BC
- Full-time
Develop SharePoint lists, libraries, pages, content types, permission models, workflows and integration components as per project standards.
Added 1 day ago
RB
Full Stack Engineer
Royal Bank of Canada
Vancouver, BC
- Full-time
A core part of the role is supporting the integration of CNB US Functions technology into RBC's enterprise platforms. You will help consolidate applications from CNB Finance and Audit…
Added 1 day ago
SL
Director, AI Engineering
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Enterprise AI Patterns, Architecture & Integration
Added 1 day ago
B
Senior Solutions Designer
Bevertec
Toronto, ON
- $100 to $105 CAD / hour
- Contract
Microsoft Dynamics 365, Power Platform & Azure – Experience in solution design.
Added 1 day ago
D
Data Solutions Engineer
Dexterra
Mississauga, ON
- $80,000 to $100,000 CAD / year
- Full-time
3–5 years of experience in data integration, reporting, business systems, or solution development.
Added 1 day ago
PS
Data Analyst
Paladin Security Group Ltd
Burnaby, BC
- $70,000 to $90,000 CAD / year
- Full-time
Experience with Microsoft Azure or other cloud data platforms.
Added 1 day ago
NV
Microsoft Foundry Architect (ID#5606)
New Value Solutions
Vancouver, BC · Greater Vancouver, BC
- Contract
Design and document Microsoft Foundry architecture, including platform resources, projects, development and production environments, and Azure landing zone integration.
Added 1 day ago
R
Full Stack Engineer
RBC
Vancouver, BC
- Full-time
A core part of the role is supporting the integration of CNB US Functions technology into RBC's enterprise platforms. You will help consolidate applications from CNB Finance and Audit…
Added 1 day ago
SI
Azure Data Enginee
Spait Infotech
Canada
- Full-time
Develop data integration solutions using Azure Data Factory (ADF).
Added 1 day ago
HC
Senior Network & Security Specialist
Hardlink Consulting Corp.
Vancouver, BC
- Full-time
Design and support hybrid network architectures, including cloud networking in platforms such as Microsoft Azure, with consideration for connectivity, security controls, and integration…
Added 1 day ago
A
Business Data & Insights Developer
Amyantek
Oakville, ON
- Contract
We are seeking an experienced Power BI / Business Data & Insights Developer with strong hands-on experience in Microsoft Power BI and SSIS/ETL to support enterprise dashboards, reporting,…
Added 1 day ago
T
Dynamics 365 CRM Software Developer
ThoughtStorm
Toronto, ON
- Contract
Experience with Microsoft Azure Integration Services, including Azure Functions, Logic Apps, Service Bus, App Services, and Entra ID.
Added 1 day ago
R
Senior .NET Developer (C# / Azure / WCAG)
Resonaite
Ottawa, ON
- Contract
Our client is seeking a contract-based Senior .NET Developer to enhance existing public-facing web applications so they fully support bilingual (English/French) URLs, working as part of an…
Added 1 day ago
Cloud Analyst
Canadian Natural
Calgary, AB
Support Azure Databricks, data platforms, and AI services, including configuration, integration, monitoring, and governance
Added 1 day ago
OI
Forward Deployment Engineer (FDE)
Optimus Information
Vancouver, BC
- Full-time
Troubleshoot integration and deployment issues, investigate root causes, and improve solution reliability, performance, and cost efficiency.
Added 1 day ago
A
Bilingual Power BI Developer
Altis
Ottawa, ON
- $65 to $85 CAD / hour
- Contract
Are you passionate about transforming complex data into meaningful insights? We're looking for a Bilingual Power BI Developer to support a leading post-secondary education institution in…
Added 1 day ago
B
Software Developer - CRM – Intermediate (Microsoft Dynamics 365 Customer Engagement (CRM) exp)
Bevertec
Toronto, ON
- Contract
Experience developing and maintaining CRM integrations using web services, APIs, Azure Integration Services, middleware solutions, and data synchronization technologies.
Added 1 day ago
O
Conseiller(ère) en gouvernance
Onepoint
Montreal, QC · Quebec, QC
- Full-time
…l’information, de plateformes et les équipes métier, afin de garantir l’intégration des outils au paysage technologique…
Added 1 day ago
W
Conseiller(ère) en gouvernance
Wepoint
Montreal, QC · Quebec, QC
- Full-time
…l’information, de plateformes et les équipes métier, afin de garantir l’intégration des outils au paysage technologique…
Added 1 day ago
TT
Sr. Ruby on Rails Engineer
TriCom Technical Services
Montreal, QC
- Full-time
Document integration architecture, data flows, and API contracts for internal and client-facing reference.
Added 1 day ago
O
Analyste de solutions technologiques émergentes (IA)
Onepoint
Montreal, QC · Quebec, QC
- Full-time
Collaborer à l’intégration des données avec les équipes techniques;
Added 1 day ago
W
Analyste de solutions technologiques émergentes (IA)
Wepoint
Montreal, QC · Quebec, QC
- Full-time
Collaborer à l’intégration des données avec les équipes techniques;
Added 1 day ago
SC
Data Architect
Servus Credit Union
Edmonton, AB
- Full-time
…leads the design of enterprise data models, data products, integration patterns, and cloud data platforms, partnering across business and technology teams. Responsibilities include solution…
Added 1 day ago
PC
Summer Student, Operation Advancement
PETRONAS Canada
Calgary, AB
- Full-time
Support development of selected project tool including databricks integration
Added 1 day ago
AS
Power Platform & UiPath Solutions Architect
Apex Systems
Toronto, ON
- $55 to $70 CAD / hour
- Full-time
This is not a traditional Power Platform developer role. The consultant will work with business and technology stakeholders to take raw business use cases, assess technical feasibility,…

RBC

Full Stack Engineer

Vancouver, BC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 23, 2026
Posting language: English
Posted: Nov 6, 2026

Original job description

Job Description

What is the opportunity?

As Senior Full Stack Engineer in AI Engineering within US Functions Technology (Finance, Risk, Law & Audit), you will be a hands-on contributor helping modernize how US corporate functions build and run their technology. You will work on back-end services, APIs, and integrations for applications in Fraud, AML, Finance, and Risk.

A core part of the role is supporting the integration of CNB US Functions technology into RBC's enterprise platforms. You will help consolidate applications from CNB Finance and Audit technology onto the RBC common platform, working with technology teams so that business stakeholders can adopt new solutions smoothly.

You will contribute across the delivery lifecycle, from development and integration testing through to production deployment. You will work within established CI/CD pipelines and help keep applications secure, compliant, and well maintained. This includes remediating security vulnerabilities and supporting application control assessments and data attestations as they arise.

This role offers opportunities to apply AI and emerging technologies, while focusing on core reliable, well-integrated engineering and data solutions.

What will you do?

Develop, test, and maintain back-end services, APIs, and web services for Fraud, AML, Finance, and Risk applications
Implement integration components, including SSO, security, and messaging (Kafka or MQ), following the integration plan.
Work primarily with .NET stack, however also leveraging Python for scripting and automation use cases
Develop and deploy cloud-native AI/ML solutions using AWS, Azure, or GCP, ensuring scalability, reliability, and efficiency through Kubernetes, Docker, etc
Work within existing CI/CD pipelines to build, test, and deploy changes. You will not be expected to build CI/CD from scratch
Contribute to integration testing, development, and architecture discussions for your assigned components
Diagnose and resolve issues in development, test, and production environments, including performance and monitoring with tools such as Splunk or Elastic
Take ownership of your work from development through production, including monitoring and support
Document technical designs, data flows, changes, and support procedures
Remediate security vulnerabilities and support application control assessments and data attestation
Work with IT leadership, business stakeholders, contractors, and partner teams to deliver solutions
Apply AI and emerging tools where they add value to your work, such as improving development productivity, and automation
Build data pipelines and scripts to extract, transform, and validate data for fraud, AML, and finance applications.
Analyze large datasets to support fraud detection, AML monitoring, and reporting, and identify data quality issues.
Support machine learning/AI models by preparing datasets, running experiments, and integrating model outputs into applications

What do you need to succeed?

Must have:

3+ years of Software Engineering experience (with one or more of the following languages- .NET, Java, Python)
2+ years of Integration experience, Working knowledge of integration components, including SSO, security, and messaging (Kafka or MQ)
Well versed with API design and consumption: Experience building and consuming APIs
Understanding of CI/CD practices and experience working within existing pipelines. Building pipelines from scratch is not required
Experience developing and deploying cloud-native applications on AWS, Azure, or GCP, with a focus on scalability, reliability, and efficiency.
Working knowledge of cloud platforms, with Azure preferred. Experience with containers (Docker, Kubernetes) is a plus
Ability to diagnose issues across development, test, and production, using monitoring tools such as Splunk or Elastic.
Ability to document technical designs and data flows, and to work effectively with technical teams and business stakeholders
Experience remediating security vulnerabilities and supporting application control assessments and data attestations. Famliarity with audit, risk, or regulatory control processes is nice to have
Proficiency in scripting for data extraction, transformation, and validation, with SQL and experience working with large datasets.

Nice to have:

AI and LLM development: Experience building autonomous AI agent systems, with working knowledge of LLMs (transformers, tokenization, embeddings), prompt engineering, fine-tuning, RAG, and vector databases.
AI frameworks and API design: Hands-on experience with frameworks such as LangChain, AutoGen, or CrewAI, and experience designing APIs with function calling.
Model and data pipelines: Experience with data orchestration and model management pipelines.
Advanced Python: Deep Python expertise for AI and ML work. Basic Python/scripting for data and automation remains a must-have

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual

A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
Leaders who support your development through coaching and managing opportunities
Ability to make a difference and lasting impact.
Work in a dynamic, collaborative, progressive, and high-performing team.
Opportunities to do challenging work

#TECHPJ

Job Skills

Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

Additional Job Details

Address:

745 THURLOW ST:VANCOUVER

City:

Vancouver

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-11-06

Application Deadline:

2026-11-23

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Apply About employer

More about this job

Responsibilities

You will develop, test, and maintain back-end services, APIs, and cloud-native AI/ML solutions for Fraud, AML, Finance, and Risk applications. Additionally, you will manage data pipelines, remediate security vulnerabilities, and support the integration of technology onto the RBC common platform.

Requirements

Candidates must have at least 3 years of software engineering experience with .NET, Java, or Python and 2 years of integration experience. Proficiency in API design, cloud platforms, and scripting for data validation is required.

Skills

.NET
Python
Java
API design
CI/CD
AWS
Azure
GCP
Docker
Kubernetes
Splunk
Elastic
SQL
Kafka
MQ
Data pipelines

Benefits

Bonuses
Flexible benefits
Competitive compensation
Commissions
Stock

Visa sponsorship

Not detected in the job text

Keywords

Full Stack Engineer
.NET
Python
Java
API
CI/CD
AWS
Azure
GCP
Docker
Kubernetes
Splunk
Elastic
Kafka
MQ
SQL
AI
ML
Fraud detection
AML
Finance
Risk
Cloud-native
Data pipelines
Security vulnerabilities
Integration
Software Engineering
Automation
LLM
RAG

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