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About the Role
Join a high-performing team transforming RBC's Chief Data Office. You will work closely with SMEs, business stakeholders, architects, and senior developers to build and deploy scalable, secure solutions powering next-generation merchant payment capabilities. This role spans both modern full-stack development to AI application architecture, offering a unique opportunity to bridge legacy and cloud-native architectures. Expect rapid growth through hands-on modernization work, emerging AI technologies, and strong mentorship every step of the way.
Responsibilities
- Participate in technical analysis and solution design under senior guidance, contributing to sprint planning, estimation, and Agile delivery
- Translate business requirements into user stories and technical designs with mentorship from architects and senior developers
- Develop and maintain enterprise-grade python microservices, AnuglarJS front-end applications, and RESTful APIs
- Build and support cloud-native, containerized, and Linux-based microservice solutions
- Deliver solutions using Agile methodologies through CI/CD pipelines with full deployment support
- Conduct peer code reviews, unit and integration testing, and participate in all phases of software development
- Learn and adopt best practices, security standards, and performance benchmarks for financial-grade systems
- Support teams by applying and growing foundational knowledge in Generative AI and LLMs
Requirements
- 5+ years of hands-on experience in software development with 3+ years focused on AI/ML and production deployments
- Expert Python proficiency, NodeJS, relational databases, LLM Frameworks (LangChain, LangFuse), FastAPI
- Experience building and consuming RESTful APIs with multi-system integration
- Strong exposure to containerization technologies (Docker, Kubernetes)
- Strong understanding of Software Development Lifecycle (SDLC) and experience implementing development best practices
- Exposure to CI/CD pipelines, automated testing concepts, and Agile delivery practices
- Hands on experience with cloud platforms (OpenShift, AWS S3, or Azure), MLOps tolling for monitoring, and comfort working in Linux-based environments
- Fast learner who is results-oriented, self-motivated, and effective working both independently and in a team
- Demonstrated ability to architect scalable, maintainable systems
- Familiarity with Identity/Access Management (Entra) or NoSQL/legacy databases (MongoDB, DB2), Redis
- Contributions to open-source AI/ML projects
- Familiarity with model governance, compliance, and responsible AI practices
- Understanding of MCP
Skills
- Big Data Management
- Cloud Computing
- Database Development
- Data Mining
- Data Warehousing (DW)
- ETL Processing
- Group Problem Solving
- Quality Management
- Requirements Analysis
Location
- Toronto, Canada
Work Type
- Full time
Experience Level
- 3+ years focused on AI/ML and production deployments
- 5+ years of hands-on experience in software development
Benefits
- A comprehensive Total Rewards Program including bonuses and flexible benefits
- Competitive compensation
- Commissions
- Stock where applicable
About the Company
- 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.