Staff Software Development Engineer

RBC • Toronto, ON

10d

About The Position

At RBC Borealis, the team is building the AI Agent Platform to redefine how financial services are developed, deployed, and run securely at scale. This platform powers intelligent, autonomous agents across multi-cloud environments including OpenShift, AWS, and Azure. As a Staff Software Developer, you will play a critical role in designing, building, and operating core components of this platform, working alongside Senior and Principal Developers, driving architectural decisions, mentoring engineers, and delivering high-quality, production-ready code. You will contribute to shaping the platform that enables RBC teams to build and run AI-powered systems safely and efficiently. RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation, bringing together architects, engineers, scientists, and product experts to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, the team focuses on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, seamlessly integrating AI research and data engineering to solve critical challenges in the financial industry. The goal is to build intelligent and scalable data-driven solutions that help communities thrive and drive innovation for customers across the bank.

Requirements

• 8+ years of software development experience with strong programming skills in Python, Go, or Java.
• Hands-on experience with Kubernetes or OpenShift, and building containerized, cloud-native applications.
• Strong understanding of distributed systems, APIs, and service-to-service communication patterns.
• Experience with observability tools and monitoring systems such as Prometheus, Grafana, or Dynatrace.
• Proven track record of delivering high-quality, production systems end-to-end.
• Strong collaboration and communication skills, with experience influencing technical decisions across teams.

Nice To Haves

• Experience with AI frameworks such as LangChain, LlamaIndex, or similar.
• Familiarity with workload identity, SPIFFE/SPIRE, or OIDC integration.
• Experience with cloud infrastructure (AWS, Azure, or hybrid environments).
• Exposure to admission controllers, policy enforcement, or platform security tools.
• Interest in mentoring engineers and contributing to technical strategy discussions

Responsibilities

• Design, build, and maintain services that enable secure, scalable, and observable AI agent workloads across multiple environments.
• Collaborate with engineering, architecture, and security teams to define and implement technical standards, APIs, and best practices.
• Drive the development of platform capabilities including identity, networking, observability, and runtime orchestration.
• Mentor and support engineers through code reviews, design sessions, and knowledge sharing.
• Contribute to improving developer experience and deployment automation through CI/CD, infrastructure-as-code, and testing frameworks.
• Participate in technical planning, helping to define milestones and deliverables across engineering squads.
• Ensure reliability, performance, and security are embedded into everything we build.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees