What is the opportunity?
The Senior IAM Systems Engineer, Identity Data & Workflow Engineering, plays a key part in the engineering delivery and operational excellence of Global Directory Services and Privileged Account Inventory platforms within the Enterprise Identity and Access Management (EIAM) ecosystem. In this role, you'll work across the full engineering lifecycle for the platforms that provide authoritative workforce identity data and privileged account visibility across the enterprise.
What will you do?
Lead design, development, and operational support of identity data aggregation, synchronization, and provisioning pipelines across the enterprise
Establish and maintain engineering standards for ETL pipelines, API development (Flask), data quality, and identity synchronization patterns
Provide technical guidance on LDAP integration and integration patterns for upstream source systems (HRIS/Workday, CWM, Beeline, non-human identity sources) and downstream consumers
Integrate with HRIS/Workday and other source systems to create a holistic organizational identity view
Ensure platform reliability through SRE practices, observability, automated testing, and operational runbooks
Manage production operations, incident response, and root-cause analysis for owned platforms in collaboration with App Support teams.
Leverage RadiantOne Identity Data Platform to support directory services and data aggregation
Collaborate with Onboarding teams to ensure privileged account inventory data feeds support onboarding automation and risk-based controls
Drive automation and efficiency across build, deployment (OpenShift), and operational processes
Ensure platforms meet regulatory requirements (FRB, Part 30, OSFI) and support audit and compliance processes
Contribute to the cross-product IAM API layer strategy by exposing directory and inventory capabilities through well-governed APIs
What do you need to succeed?
Must-have:
5+ years of Software/Platform engineering experience
Strong hands-on experience with directory services technologies (RadiantOne Identity Data Platform, Active Directory, LDAP) and identity data integration patterns
Proven track record delivering enterprise-scale ETL pipelines, data aggregation, and identity synchronization solutions
Proficiency in Python, with experience building data pipelines, automation, and operational tooling
Working knowledge of CI/CD pipelines, infrastructure-as-code, and modern DevOps practices
Solid understanding of relational databases (MS SQL Server) and data processing frameworks (Pandas, Polars, or equivalent)
Experience operating and supporting production platforms with SRE practices, incident management, and observability
Cross-functional collaboration and negotiation skills with the ability to lead initiatives in complex, matrixed environments
Excellent written and oral communication skills and experience presenting to technical and non-technical audiences
Nice-to-have:
Experience with IBM Security Verify Directory Integrator (SVDI) or equivalent identity integration tooling
Familiarity with privileged account discovery, inventory, and risk-scoring methodologies
Experience with API development and integration (REST APIs, Flask or equivalent frameworks)
Strong understanding of IAM principles: identity lifecycle management, privileged access security, and identity data governance
Knowledge of containerization (Docker, Kubernetes) and cloud deployment methodologies (OpenShift)
Experience with Angular/React for building internal admin portals (minimal frontend focus, <10%)
Understanding of identity federation, synchronization patterns, and exposing identity data to analytics/AI-ML platforms
Familiarity with monitoring and logging tools (Splunk, Dynatrace, ELK Stack)
Knowledge of banking/financial services regulatory landscape (FRB, Part 30, OSFI) and how it shapes identity platform controls
Experience with ServiceNow and enterprise workflow platforms (SailPoint)
Certifications (CISSP, CISM, SailPoint, CyberArk)
Experience leveraging AI agents or ML frameworks for identity data quality, anomaly detection, or operational automation
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
Ability to make a difference and lasting impact
Work in a dynamic, collaborative, progressive, and high-performing team
A world-class training program in financial services
Opportunities to do challenging work and take on progressively greater accountabilities
#LI-POST
#TECHPJ
Job Skills
Decision Making, Group Problem Solving, Identity Access Management (IAM), Information Security, Information Technology Security, IT Systems Integration, Negotiation, Software Development, Software Development Life Cycle (SDLC)
Additional Job Details
16 YORK ST:TORONTO
Toronto
Canada
37.5
Full time
TECHNOLOGY AND OPERATIONS
Regular
Salaried
2026-06-10
2026-07-20
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Our Employment Opportunities
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.
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