Senior Manager leading RBC’s data security automation engineering team. Building SOAR-driven incident response solutions to strengthen security for a major Canadian bank.
Responsibilities
Lead, mentor, and develop the Senior Security Automation Engineering team
Establish performance expectations, provide technical guidance, and create career development opportunities
Set team priorities and roadmap
Define technical strategy for SOAR platform integration, optimization, and incident response automation workflows
Integrate and optimize SOAR product capabilities
Oversee platform enhancements and technical direction
Lead the design, creation, testing, and refinement of SOAR playbooks to automate incident response procedures at scale
Troubleshoot complex technical issues with development teams and external vendors
Provide solutions and assist in implementing fixes that impact team productivity
Collaborate with Global Security teams and stakeholders to enhance organizational security posture
Develop and architect customized, innovative solutions to complex Data Security automation problems
Manage team capacity, resource allocation, and project prioritization
Track metrics and performance indicators for team delivery
Requirements
5-7 years in cybersecurity with at least 3 years in development, security automation, or incident response engineering
Demonstrated experience leading and managing technical teams
Advanced proficiency in Python
Knowledge of R, C#, JavaScript, and HTML & CSS
Strong understanding of relational databases (MsSQL, PostgreSQL) and non-relational databases (MongoDB)
Experience with machine learning models and large language model packages (PyTorch, Transformer)
Strong verbal and written communication skills
Willingness to share knowledge and mentor others
Creative thinking and analytical problem-solving abilities
Ability to work in a fast-paced environment and manage multiple complex projects and priorities simultaneously
Master's degree in computer science or CISSP certification (nice-to-have)
Experience with fine-tuning machine learning models (supervised & unsupervised) (nice-to-have)
Benefits
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
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