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Added 22 hours ago
MS
Senior QA Automation Engineer
Motorola Solutions
Vancouver, BC
- Full-time
As a Senior QA Automation Engineer, you will be a primary driver of our "Automation First" strategy. This role is weighted heavily toward technical development (70% Automation / 30%…
Added 22 hours ago
C
Full Stack Support Engineer, Vice President
Citi
Mississauga, ON
- Full-time
As a Full Stack Support Engineer, you will take ownership of complex application issues and lead the enhancements that keep key banking systems running reliably. You will partner with…
Added 22 hours ago
RevOps Coordinator | Coordonnateur(trice) des opérations de revenus
Alveole
Montreal, QC
…better. You’ll work closely with our RevOps Manager and GTM Engineer, with plenty of room to improve processes, automate repetitive work, and help us build smarter internal tools as our…
Added 22 hours ago
FI
Quality Engineer - Mainframe
FP Inc.
Toronto, ON · Scarborough, ON
- $50 to $65 CAD / hour
- Contract
Added 23 hours ago
C
Software Engineer - Crowdsourcing Platform
Calder
Toronto, ON
- Full-time
Added 23 hours ago
C
Finance & Business Engineer
Calder
Toronto, ON
- Full-time
As our first Finance / Business Engineer, you will build the infrastructure to provide us with a live view of our economics, data supply, and customer demand. This infrastructure will be…
Added 23 hours ago
C
Software Engineer - Mobile Crowdsourcing Platform
Calder
Toronto, ON
- Full-time
Added 23 hours ago
D
Data Solutions Engineer
Dexterra
Mississauga, ON
- $80,000 to $100,000 CAD / year
- Full-time
As a Data Solutions Engineer, you will design, build, and support data-centric solutions that connect business needs with technical delivery. You will work with architects, business…
Added 23 hours ago
GA
Building Systems Engineer
GDI Ainsworth
Mississauga, ON
- $90,000 to $110,000 CAD / year
- Full-time
The Building Systems Engineer optimizes HVAC and mechanical building systems through data analytics to improve performance, sustainability, and energy efficiency.
Added 23 hours ago
Y
NetScout NG1 Engineer
Yochana
ON · Ontario, Canada
- Contract
Added 23 hours ago
L
Network Operations Engineer
Lemon.io
Canada
- Full-time
Added 23 hours ago
W
Senior AI Engineer - Oncology Biometrics
WATAR-AI
Canada
- Full-time
Added 23 hours ago
R
Full Stack Engineer
RBC
Vancouver, BC
- Full-time
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…
Added 23 hours ago
AM
Sr. Systems Design Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
We are looking for a dynamic, energetic Systems Design Engineer to join our growing team. As a key contributor to the success of AMD’s product, you will be part of a leading team to drive…
Added 23 hours ago
AL
GenAI DevOps Engineer / AI Engineer
Accion Labs
Canada
- Contract
Added 23 hours ago
DT
Scientist
Dragonfleye Therapeutics Corp.
Toronto, ON
- Full-time
…Learn more at dragonfleyecorp.com. This role is the hands-on engineer who turns injector concepts into working…
Added 23 hours ago
SL
Student, Associate DevOps Engineer (Winter 2027)
Sun Life
Waterloo, ON · Sun Life Waterloo King
- Full-time
The Canadian Engineering team is looking for an Associate DevOps Engineer with an interest in designing, developing, implementing, supporting, and analyzing large-scale tooling and systems…
Added 23 hours ago
M
Stagiaire en opérations critiques Centre de données / Critical Environment Ops INTERN Data Center
Microsoft
Quebec, QC
- Full-time
Added 23 hours ago
Reliability Engineer
Sun Pharmaceutical Industries Ltd
Brampton, ON
The Reliability Engineer plays a critical leadership role in advancing asset reliability, equipment performance, and maintenance excellence across manufacturing (70%) and facilities (30%)…
Added 23 hours ago
Environmental Services Engineer, Compliance-TS269
City of London
London, ON
Reporting to the Division Manager, Wastewater Treatment Operations, the Environmental Services Engineer is responsible for overseeing the development and implementation of a wastewater…
Added 23 hours ago
VC
AI Engineer I | Ingénieur.e IA I
Valsoft Corporation
Montreal, QC · Saint-Laurent, Quebec
- Full-time
We're looking for an early-career AI engineer to join our Montreal team and ship product work from your first weeks. The team is lean, so your code reaches real hotels quickly, and you'll…
Added 23 hours ago
Reliability & Process Engineer
CONA Services
Toronto, ON · North York, ON
The Reliability & Process Engineer is the plant technical owner for asset health, chronic-loss elimination and sustained line performance. Working closely with Operations and Maintenance,…
Added 23 hours ago
Process Engineer
CONA Services
Toronto, ON · North York, ON
The Reliability & Process Engineer is the plant technical owner for asset health, chronic-loss elimination and sustained line performance. Working closely with Operations and Maintenance,…
Added 23 hours ago
Y
NetScout Engineer
Yochana
Montreal, QC
- Contract
Added 23 hours ago
Y
NetScout Engineer
Yochana
ON · Ontario, Canada
- Contract

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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