As Senior Manager, Software Development in Wealth Management Technology, you will lead the engineering teams behind the back-end platforms that power RBC's Retail Trading business — order capture, routing, execution, trade posting and the supporting batch and real-time services that clients and advisors rely on every trading day.

This is a people-leadership role: you will manage developers and team leads (employees and vendor partners), partner with Retail Trading business and operations stakeholders, and set the technical direction and roadmap for the portfolio.

What will you do?

• Manage developers and team leads across Java (primarily) and HPE NonStop/COBOL, including vendor and contract resources. Set priorities and allocate resources to deliver with quality and efficiency.
• Build a high-performing, continuous-learning culture through coaching, candid feedback, and career development, growing the team's modern engineering and AI skills.
• Provide leadership and technical expertise to oversee the design, development, and deployment of complex software solutions (focus on Wealth Management Trading applications), ensuring alignment with business objectives and industry best practices.
• Make independent decisions on complex technical and business issues, and provide input on Wealth Management Technology strategy to senior leaders.
• Translate Retail Trading business needs into technical plans. Partner with business leaders and cross-functional teams to resolve complex issues, and explain technical risks and trade-offs clearly to non-technical stakeholders.
• Own the modernization roadmap for Retail Trading platforms with architects and senior engineers, including target architecture, sequencing, coexistence, and safe decommissioning of legacy components.
• Establish architecture principles and engineering standards across workstreams. Drive adoption of API-first, event-driven, and cloud-native patterns.
• Evaluate emerging technologies and recommend strategic investments that strengthen the platform.
• Lead adoption of the enterprise AI Engineering Platform and agentic workflows across the SDLC, including code analysis, business-rule extraction, documentation, code creation, and test generation. Build reusable skills, plugins, workflows, and prompts.
• Define governance and guardrails for responsible AI use, including human review and model-risk controls, that balance productivity with security, risk, and engineering excellence.
• Champion code review, secure coding, CI/CD, automated testing, and AI-assisted developer tooling.
• Balance innovation with operational stability by reducing technical debt while delivering business value.
• Be accountable for the availability, performance, and resilience of real-time trading systems.

What do you need to succeed? Must have’s:

• 10+ years in software development, including 5+ years leading development teams (people management, not only technical lead) in an Agile environment.
• Hands-on background in back-end Java (Java 17+, Spring/Spring Boot, REST APIs, messaging such as MQ or Kafka) and the ability to review designs and code credibly.
• Cloud-native and event-driven architecture: microservices, Kafka, containers, Azure or OpenShift.
• Proven experience leading a legacy modernization or migration program (mainframe, HPE NonStop or similar) from target architecture through cut-over.
• Practical experience applying AI tools in software delivery, such as coding assistants or agentic workflows, and a clear view of where they add value and where they need guardrails.
• Working knowledge of COBOL and legacy platforms, enough to judge estimates, risk and migration approaches.
• Track record of owning high-volume, high-availability production systems: incident and problem management, SLAs and change control.
• Strong written and verbal communication, with the ability to influence business and technology leaders.

Nice to have’s:

• Retail brokerage or trading domain knowledge: equities, options and fixed income order flow, trade posting, settlement, and Canadian regulatory requirements (CIRO).
• Hands-on HPE NonStop experience: Guardian/OSS, TACL, Pathway, Enscribe, NonStop SQL/MP or MX, TMF, GoldenGate.
• Experience building or rolling out agentic AI workflows (multi-step agents, LLM-based code transformation, AI-generated test suites) in an enterprise setting.
• Experience in a large, regulated financial institution, including working with audit, risk and operations partners.

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
• Leaders who support your development through coaching and managing opportunities
• Flexible work/life balance options
• Work in a dynamic, collaborative, progressive, and high-performing team
• Ability to make a difference and lasting impact

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Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

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