The Royal Bank of Canada is seeking a Staff Platform Engineer to join their Data & AI Platform Team within Intelligent Operations. This role focuses on developing cutting-edge solutions for enterprise data processing, DataOps pipelines, machine learning implementations, and advanced AI context engineering technologies. The successful candidate will contribute to RBC's growth by building high-quality, enterprise-grade solutions in a dynamic and innovative environment.
Key responsibilities include building big data, analytics, and machine learning solutions, as well as AI context engineering solutions for agentic AI workloads. The role also involves implementing scalable, secure, and reliable cloud solutions using platforms like Microsoft Azure, Amazon Web Services (AWS), and OpenShift Container Platform (OCP). Collaboration with cross-functional teams to understand data and AI requirements, providing technical recommendations, supporting the deployment and configuration of services (compute, storage, networking, security components), and participating in troubleshooting and resolution of issues related to cloud services are also essential.
Must-have: Bachelor's degree in Computer Science, Software Engineering, or equivalent. Strong hands-on experience with big data, LLM, and agentic AI. Proficiency in one or more modern programming languages such as Python, Java. Familiarity with Azure, AWS, OCP. Nice-to-have: Master's degree in Computer Science, Software Engineering, or equivalent. Prior experience with MCP servers, DevOps tools, Apache Airflow, Kubernetes, ElasticSearch. Prior experience with designing and building large-scale data pipelines. Prior experience working in a major financial institution.
Bachelor's Degree
37.5 hours/week
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. As Canada's largest bank, it provides personal and commercial banking, wealth management, and capital markets services to over 17 million clients worldwide.
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