Lead, Full Stack Engineer

Opportunity

Responsibilities

• Apply AI and agentic tools to solve business problems across US Corporate Functions.
• Migrate .NET applications from on-premises to Azure and design secure, reliable, scalable hybrid solutions.
• Develop and manage application integration plans from conception through production deployment.
• Drive architecture for APIs, web services, SSO, security, and Kafka or MQ messaging.
• Build backend APIs and web services and deliver integrations across SSO, security, and messaging.
• Lead CNB entity integration and coordinate with Target Tech teams to support business adoption.
• Consolidate CNB Finance and Audit applications onto the RBC Common Platform with business stakeholders.
• Perform Python scripting and data pipeline development.
• Lead, mentor, and grow engineers and set technical direction and quality standards.
• Maintain working knowledge of enterprise operations, Splunk, Elastic, and performance monitoring.
• Gather stakeholder requirements and align AI initiatives with strategic goals.
• Develop and deploy cloud-native AI/ML solutions on AWS, Azure, or GCP using Kubernetes and Docker.

Requirements

• 7+ years leading an engineering team while remaining hands-on.
• Software engineering background with at least one of .NET, Java, or Python.
• Experience building APIs and web services across SSO, security, and Kafka or MQ messaging.
• Experience migrating on-premises applications to Azure, AWS, or GCP and designing hybrid solutions.
• Ability to translate business requirements into technical roadmaps and identify strategic AI opportunities.
• Strong data skills, including ETL, data orchestration, Python scripting, or data pipelines.
• Experience with Kubernetes and Docker for cloud-native solutions and exposure to production AI/ML.
• Experience delivering integration plans to committed timelines and managing architecture changes.
• Ability to partner with stakeholders, gather requirements, and align technical work with strategic goals.
• Nice to have: AI scaling, model optimization, latency reduction, performance monitoring, RAG, vector databases, prompt engineering, AI-based SDLC, AI frameworks, or agent architectures.

Benefits

• Total Rewards Program includes bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.
• Leaders provide development through coaching and management opportunities.
• The role offers collaborative work, challenging projects, and opportunities to make an impact.

Work details

• Listed address is 745 Thurlow Street, Vancouver.
• The role is full time, regular, salaried, and lists 37.5 work hours per week.