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Lead Product Engineer (Global Security)

  • Toronto, ON, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Job details

Job type
Full-time
Closing date
Experience
5+ years AppSec Engineering experience with tools like Github, JFrog Artifactory, Snyk, Aqua;
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

Job Description

What You'll Do?

  • Define AppSec Strategy – Own the AppSec roadmap for DevSecOps and Security Controls, prioritizing initiatives that deliver measurable value to development teams
  • Drive Product Excellence – Partner with next-gen technology product management to champion usability, quality, and technical debt reduction
  • Build Strategic Relationships – Engage with application development executives and vendors to align strategies and meet organizational needs
  • Lead AI Innovation – Drive AI adoption in the workplace and establish security guardrails for AI tools (Agents, MCP, code generation)
  • Deliver Results – Track KPIs, manage costs, ensure ROI, and reduce unit delivery costs
  • Innovate & Educate – Prototype new features, strengthen developer education, and enhance AppSec learning culture
  • Engage Communities – Foster adoption through meetups, steering groups, and user communities
  • Manage Releases – Own end-to-end release management including planning, documentation, and execution

What do you need to succeed?

Must Have:

  • 5+ years AppSec Engineering experience with tools like Github, JFrog Artifactory, Snyk, Aqua; Docker & Kubernetes expertise
  • Full-stack development (JavaScript, React, Node.js, Python or similar)
  • API delivery, Data Management, and/or Business Analytics experience
  • Agile Product Management in technology environments
  • Degree in Engineering or Computer Science
  • AI Agent Frameworks and Langchain experience
  • Understanding of AI-driven operational efficiency, CI/CD enhancement, and working with models/MCP servers
  • DevOps proficiency (Git, Artifactory, Docker/K8s)
  • Exceptional communication skills bridging technical and business audiences
  • Collaborative problem-solver with passion for user experience and data quality

Nice to have

  • Elastic (ELK) and Azure Databricks experience
  • RAG-based applications and agentic AI workflows; LLM/GenAI research background

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
  • Ability to make a difference and lasting impact
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • Flexible work/life balance options
  • Opportunities to do challenging work
  • Opportunities to take on progressively greater accountabilities 
  • Opportunities to building close relationships with clients

#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

Address:

16 YORK ST:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-08-27

Application Deadline:

2026-10-02

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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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

More about this job

Responsibilities

The Lead Product Engineer will define the AppSec strategy and roadmap while driving AI innovation and security guardrails. They will also manage end-to-end release processes and foster collaboration between development teams and stakeholders.

Requirements

Candidates must have at least 5 years of AppSec engineering experience and proficiency in full-stack development and DevOps tools. A degree in Engineering or Computer Science is required, along with strong communication skills and experience with AI frameworks.

Skills

  • AppSec Engineering
  • DevSecOps
  • Docker
  • Kubernetes
  • JavaScript
  • React
  • Node.js
  • Python
  • API delivery
  • AI Agent Frameworks
  • Langchain
  • CI/CD
  • Git
  • JFrog Artifactory
  • Snyk
  • Aqua

Benefits

  • Bonuses
  • Flexible benefits
  • Competitive compensation
  • Commissions
  • Stock options
  • Flexible work/life balance

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Security & Safety
  • Software
  • Engineering
  • Data & Analytics

Keywords

  • AppSec
  • DevSecOps
  • Security Controls
  • Product Management
  • AI Agents
  • MCP
  • Code generation
  • KPIs
  • Github
  • JFrog Artifactory
  • Snyk
  • Aqua
  • Docker
  • Kubernetes
  • JavaScript
  • React
  • Node.js
  • Python
  • API
  • Data Management
  • Business Analytics
  • Agile
  • Langchain
  • CI/CD
  • Git
  • Elastic
  • Azure Databricks
  • RAG
  • LLM
  • GenAI

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