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Added 20 days ago
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Machine Learning Engineer - Early Career (Canada)
Jobright.ai
Canada
- Full-time
…job search. They are seeking an Early Career Machine Learning Engineer to design, build, and maintain scalable infrastructure for AI agents, as well as optimize data processing and develop…
Added 20 days ago
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AI Engineer
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- Full-time
Advanced Python proficiency with strong software engineering fundamentals (version control, testing, code reviews)
Added 20 days ago
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AI Engineer, Entry Level (Canada)
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Strong proficiency in Python and experience working with LLM APIs (such as OpenAI, Anthropic, or open-source models via Hugging Face)
Added 20 days ago
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Added 20 days ago
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Senior IC Design Verification Engineer
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Added 20 days ago
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Cybersecurity Engineer, Entry Level (Canada)
Jobright.ai
Canada
- Full-time
…job outcomes. They are seeking an entry-level Cybersecurity Engineer to monitor security incidents, perform vulnerability assessments, and collaborate with engineering teams to enhance…
Added 20 days ago
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Data Engineer – Data Platform (AI-Enabled)
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- Full-time
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Added 20 days ago
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Computer Vision Engineer
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- $200,000 to $250,000 CAD / year
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Strong Python development skills and experience with modern ML frameworks such as PyTorch.
Added 20 days ago
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If you’re an experienced IAM engineer with deep Okta expertise who enjoys both defining architecture and getting hands-on with automation, integrations, governance, and platform…
Added 20 days ago
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Sr Analyst, DevOps
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Added 20 days ago
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Lead IAM Engineer
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Added 20 days ago
ES
Offensive Security Engineer
Epsilon Solutions Ltd.
Toronto, ON
- Contract
As “Principal Consultant, Agentic AI Cybersecurity Engineer” you will work hands-on alongside our cybersecurity engineering and application security teams to build, operate, and advance the…
Added 20 days ago
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Ingénieur(e) solutions
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Expérience pratique d’au moins un langage de programmation (Python, Java, C# ou similaire)
Added 20 days ago
AI & ML Intern - Electrical Engineer (Witner 2027)
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Proficiency with Python and ML libraries (such as TensorFlow or PyTorch).
Added 20 days ago
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Senior Analytics Engineer, Enterprise Analytics & Advisory
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- Full-time
As a Senior Analytics Engineer, you will be a key member of the Enterprise Analytics and Advisory team, working with business partners and stakeholders from various Strategic Business Units…
Added 20 days ago
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Senior Full-Stack Engineer, Internal Applications
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- $215,000 to $310,000 CAD / year
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You’re comfortable with the front and back end of the stack, and have previously worked with Next.js, TypeScript, React, and Python
Added 20 days ago
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Data Platform Engineer
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Added 20 days ago
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Prompt Engineer - Early Career (Canada)
Jobright.ai
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- Full-time
…job search process. They are seeking an early-career Prompt Engineer to craft and evaluate prompts that enhance the performance of AI outputs across user-facing…
Added 20 days ago
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AI Engineer, Mid Level
Jobright.ai
Canada
- Full-time
…and helps users find better job outcomes. The Mid-Level AI Engineer designs, builds, evaluates, deploys, and operates machine learning and generative AI capabilities, including…
Added 20 days ago
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DevOps Engineer
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- Full-time
TitanFile is looking for a DevOps Engineer who is personable, persistent, and confident. A person who is passionate about learning new technologies and improving the skills they already…
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At QFG, we combine human-centric collaboration with AI-driven innovation to redefine financial services. The ideal candidate will be a catalyst for change, using AI to transform and deliver…
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Added 20 days ago
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Proficiency in Python with CI/CD pipeline experience (GitHub Actions, Azure DevOps)

Epsilon Solutions Ltd.

Offensive Security Engineer

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Oct 15, 2026
Posting language: English
Posted: Sep 15, 2026

Original job description

Role: Offensive Security Engineer

Toronto, Hybrid

Job Description

As “Principal Consultant, Agentic AI Cybersecurity Engineer” you will work hands-on alongside our cybersecurity engineering and application security teams to build, operate, and advance the agentic AI systems that find, exploit, and remediate vulnerabilities end-to-end across our application and infrastructure estate. Operating at a principal engineer level, you will personally direct frontier AI models do discover vulnerabilities in production code, develop proof-of-concept exploits, generate and validate fixes, and integrate them into CI/CD pipelines with safe human-in-the-loop controls. You will also build reusable AI skills, prompts, and tooling that make agentic vulnerability management efficient and scalable across the estate. You will bring deep dual expertise across offensive and defensive security, penetration testing, and software engineering, and apply that fluency to push the boundaries of what is possible with agentic AI in a regulated enterprise environment.

What will you do?

Architect and operationalize the end-to-end agentic AI patching pipeline spanning detection, fix generation, automated testing, and release across SAST, DAST, SCA, IAST, container, and server vulnerabilities.
Use frontier AI models to discover novel vulnerabilities in production application and infrastructure code, develop proof-of-concept exploits, and validate that AI-generated fixes close the underlying root cause.
Build and maintain the library of reusable AI skills, prompts, evaluation harness, and tooling that power agentic vulnerability discovery, triage, remediation, false positive analysis, and exemption workflows at scale.
Design and operationalize AI-driven false positive analysis and exemption processes to reduce manual triage burden and surface only actionable findings to development teams.
Conduct hands-on penetration testing and red team exercise against critical applications and infrastructure to validate defensive controls and agent-generated remediations.
Extend agentic remediation coverage across SAST, SCA, DAST, IAST, container, and server vulnerabilities, including the data and tooling needed to connect findings back to source.
Design agent prompting, guardrails, evaluation frameworks, and appropriate human-in-the-loop controls to ensure safe autonomous code changes, testing, and deployment.
Drive integration of agentic remediation into enterprise CI/CD pipelines (Github, Jenkins, etc.) across the deployment landscape.
Communicate technical design, risk trade-offs, and delivery progress clearly to senior stakeholders including CIO, CISO, 2LOD, and Audit functions.

Must-have:

10+ years hands-on experience across software engineering, offensive security, and defensive security at a principal engineer level, with demonstrated personal contributions to production codebases and published vulnerability research or penetration testing engagements.
Advanced technical proficiency in multiple programming language (Java, C#, C, C++, Python, JavaScript/TypeScript, .NET, Go) with proven ability to personally write, review, and remediate production code.
Deep fluency in vulnerability classes including memory safety, injection authentication and authorization flaws, cryptographic misuse, deserialization, race conditions, and supply chain attacks, with hands-on experience finding and exploiting each.
Extensive hands-on experience with penetration testing, red teaming, exploit development, reverse engineering, and secure code review against OWASP Top 10 and SANS 25, combined with defensive engineering experience building detection and remediation capabilities.
Extensive hands-on experience with application security testing tools (SAST, DAST, IAST, SCA), including tuning, false positive analysis, exemption workflow design, and enterprise vulnerability management at scale.
Deep technical fluency with agentic AI coding tools and frameworks (Claude, Devin, Copilot, Windsurf, Cursor, MCP, including prompt engineering, agent orchestration, reusable skill and tool design, guardrail design, and evaluation.
Strong architectural knowledge of modern CI.CD, container platforms (Docker, Kubernetes), cloud-native deployment patterns, and integration of security automation into developer workflows.

Nice-to-have:

Relevant security certifications (OSCP, OSCE, OSEP, GXPN, GWAPT, CISSP, or equivalent).
Experience in financial services or highly regulated industries with exposure to SOX, SOC1, and regulatory audit.
Public evidence of offensive capability: published CVEs, bug bounty track record, conference talks (DEFCON, Black Hat, Offensive Con, Recon), CTF placements, or open-source security tooling contributions.
Hands-on experience with enterprise vulnerability tooling (Tenable, Aqua, Snyk, BrightSec) and remediation at scale.
Demonstrated ability to advise senior technology leaders and deliver within complex, multi-stakeholder enterprise environments.

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More about this job

Responsibilities

Architect and operate agentic AI systems to automate the end-to-end discovery, exploitation, and remediation of vulnerabilities across application and infrastructure estates. Conduct hands-on penetration testing and red team exercises to validate defensive controls and AI-generated fixes.

Requirements

Requires over 10 years of experience in software engineering and offensive/defensive security at a principal level. Must possess deep proficiency in multiple programming languages and extensive experience with AI coding tools and application security testing frameworks.

Skills

Offensive Security
Agentic AI
Penetration Testing
Software Engineering
Vulnerability Management
Red Teaming
Exploit Development
Secure Code Review
SAST
DAST
SCA
IAST
Prompt Engineering
CI/CD Integration
Reverse Engineering
Cloud-Native Security

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
Offensive Security
Penetration Testing
Red Teaming
Java
C#
C++
Python
JavaScript
TypeScript
.NET
Go
OWASP Top 10
SANS 25
SAST
DAST
IAST
SCA
Claude
Devin
Copilot
Windsurf
Cursor
MCP
Docker
Kubernetes
Github
Jenkins
OSCP
OSCE

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