Lead, Full Stack Engineer

Role overview

Engineering and integration

• Migrate on-premises .NET applications to Azure and design reliable, secure, scalable hybrid solutions.
• Create application integration plans and deliver solutions from conception through production deployment.
• Design and build APIs, web services, SSO and security integrations, and Kafka or MQ messaging.
• Lead CNB entity integration and business adoption in collaboration with Target Tech teams.
• Consolidate CNB Finance and Audit Tech applications onto the RBC Common Platform.
• Develop Python scripts and data pipelines; work with ETL and data orchestration.
• Lead, mentor, and grow engineers while setting technical direction and quality standards.
• Use Splunk, Elastic, and performance monitoring tools to support enterprise operations.
• Gather stakeholder requirements and turn AI opportunities into strategies aligned with business goals.
• Deploy cloud-native AI/ML solutions using AWS, Azure, or GCP, with Kubernetes and Docker.

What you need to succeed

• At least 7 years leading an engineering team while remaining hands-on.
• Software engineering experience in at least one of .NET, Java, or Python.
• Experience integrating APIs and web services across SSO, security, and Kafka or MQ messaging.
• Experience migrating on-premises applications to Azure, AWS, or GCP and operating hybrid environments.
• Ability to translate business requirements into technical roadmaps and identify AI transformation opportunities.
• Experience with ETL, data orchestration, Python scripting, or data pipelines.
• Experience deploying cloud-native solutions with Kubernetes and Docker and exposure to production AI or ML.
• Experience delivering integration plans to committed timelines, including architecture changes.
• Ability to work with enterprise and business stakeholders, gather requirements, and align technical work with strategic goals.

Preferred experience

• Scaling cloud AI applications, model optimization, latency reduction, and performance monitoring.
• Retrieval-Augmented Generation systems and vector databases.
• Prompt engineering and AI-based SDLC tools such as Claude or GitHub Copilot.
• Python AI frameworks such as LangChain, AutoGen, or CrewAI.
• AI agent architectures, autonomous decision-making, and multi-agent collaboration frameworks.

Benefits and work environment

• Total Rewards Program includes bonuses and flexible benefits; competitive compensation, commissions, and stock may apply.
• The employer describes coaching, development opportunities, collaborative work, and challenging assignments.

Role location

• The posting lists an address at 745 Thurlow Street, Vancouver, and 37.5 work hours per week.