Lead design, development, and operational support of identity data aggregation, synchronization, and provisioning pipelines across the enterprise
Drive the modernization of 25-year-old legacy systems into scalable, maintainable Python-based platform capabilities
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

5+ years of Software/Platform engineering experience, with IAM exposure
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
Knowledge of containerization (Docker, Kubernetes) and cloud deployment methodologies (OpenShift)
Experience with API development and integration (REST APIs, Flask or equivalent frameworks)
Solid understanding of relational databases (MS SQL Server) and data processing frameworks (Pandas, Polars, or equivalent)
Strong understanding of IAM principles: identity lifecycle management, privileged access security, and identity data governance
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

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

Senior IAM Systems Engineer, Identity Data & Workflow Engineering – Global Security

Key skills