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…Impact Assessment (LMIA) that would support a foreign worker. Applications will not be accepted via email or in person. We thank all applicants for their interest in Career opportunities…
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sephora.com
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Lead, Full Stack Engineer
RBC
Vancouver, BC
- Full-time
…production-ready solutions. You will lead modernizing .NET applications, bring AI and agentic tools into everyday engineering, and drive CNB US Functions technology into the RBC Enterprise…
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RBC

Lead, 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 26, 2026
Posting language: English
Posted: Nov 6, 2026

Original job description

Job Description

What is the opportunity?

The Lead, Full Stack Engineer is a hands-on leadership role within AI Engineering, US Functions Technology – Finance, Risk, Law, and Audit. You will build and inspire a team that delivers scalable, production-ready solutions. You will lead modernizing .NET applications, bring AI and agentic tools into everyday engineering, and drive CNB US Functions technology into the RBC Enterprise ecosystem, owning every modernization solution from concept to production.

You will work at the core of data, APIs, and web services, delivering secure, high-impact integration across SSO, security, and messaging through Kafka or MQ. You will drive and lead the integration of CNB entities, working with teams to ensure seamless business adoption. You will also apply cutting-edge technologies to solve real-world problems across US Corporate Functions, including Finance, Risk, Law, and Audit.

What will you do?

Innovate at the forefront, applying cutting-edge technologies, including AI and agentic tools, to solve real-world problems across US Corporate Functions, including Finance, Risk, Law, and Audit
Drive the migration of .NET applications from on-premises to Azure, designing and building hybrid solutions that remain reliable, secure, and scalable across both environments
Provide hands-on development and management of application integration plans, incorporating AI solutions where they add value, from conception through production deployment, with committed delivery timelines.
Drive solution architecture and design for APIs, web services, SSO and security, and messaging (Kafka or MQ), with a focus on performance, security, and compliance
Build and maintain back-end APIs and web services, delivering heavy integration work across SSO and security, and messaging through Kafka or MQ.
Drive and lead the integration of CNB entities, ensuring seamless business adoption of target solutions in collaboration with Target Tech teams
Consolidate applications from CNB Finance & Audit Tech to Target RBC Common Platform through strategic alignment with business stakeholders
Carry out substantial data work, including scripting (Python) and data pipeline development
Lead, mentor, and grow a team of engineers setting technical direction and quality standards.
Maintain a working understanding of enterprise operations, including shared services, Splunk, Elastic, and performance monitoring
Champion cross-functional collaboration by leading discussions with business stakeholders to gather requirements, refine visions, and align AI initiatives with strategic goals to translate into actionable AI strategies
Develop and deploy cloud-native AI/ML solutions using AWS, Azure, or GCP, ensuring scalability, reliability, and efficiency through Kubernetes, Docker, etc.

What do you need to succeed?

7+ years leading an engineering team, staying hands-on and stepping in to unblock delivery when needed
Software engineering background with at least one of the following languages: .NET, Java, or Python
Solid experience building and integrating APIs and web services across SSO, security, and messaging through Kafka or MQ, with the ability to drive architecture and design decisions focused on performance, security, and compliance
Proven experience migrating applications from on-premises to cloud platforms (Azure, AWS, or GCP) and designing and running hybrid solutions across both environments
Skilled at translating business requirements into technical roadmaps, and identify AI-driven transformation opportunities aligned with enterprise strategy
Strong data skills, including experience with ETL, data orchestration, Python scripting, or building data pipelines
Experience developing and deploying cloud-native solutions using Kubernetes and Docker, with exposure to AI or ML solutions in production
Experience delivering integration plans to committed timelines, including managing architecture changes
Ability to partner with enterprise and business stakeholders, gather requirements, and align technical work with strategic goals

Nice to have:

Experience scaling and deploying AI applications in cloud environments with model optimization, latency reduction, and performance monitoring
Experience with Retrieval-Augmented Generation (RAG) systems and vector databases for knowledge retrieval
Solid foundation in prompt engineering and AI based SDLC (Claude, GitHub Copilot)
Familiarity with Python and AI frameworks (LangChain, AutoGen, CrewAI)
Understanding of AI agent architectures, autonomous decision-making systems, and multi-agent collaboration frameworks

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:

2026-11-26

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

The Lead Full Stack Engineer will manage a team to modernize .NET applications and integrate AI tools into the RBC Enterprise ecosystem. They are responsible for designing scalable cloud-native solutions and ensuring seamless integration across APIs, messaging systems, and security protocols.

Requirements

Candidates must have at least 7 years of engineering leadership experience and proficiency in .NET, Java, or Python. Strong expertise in cloud migration, API architecture, and data pipeline development is required to succeed in this role.

Skills

Full stack engineering
Leadership
.NET
AI engineering
Cloud migration
Azure
API development
Kafka
MQ
Python
Data pipelines
Kubernetes
Docker
Software architecture
ETL
Mentoring

Benefits

Bonuses
Flexible benefits
Competitive compensation
Commissions
Stock

Visa sponsorship

Not detected in the job text

Keywords

Full Stack Engineer
AI Engineering
.NET
Azure
Kafka
MQ
Python
Cloud-native
Kubernetes
Docker
API
SSO
ETL
Data pipelines
Retrieval-Augmented Generation
RAG
Prompt engineering
LangChain
AutoGen
CrewAI
Splunk
Elastic
Cloud migration
Hybrid solutions
Enterprise operations
Performance monitoring
System architecture
Model optimization
Vector databases

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