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CommIT

Senior Application Security Researcher

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 5, 2026

Original job description

The company secures the AI-driven SDLC from prompt to production, unifying development and cloud context to stop vulnerabilities at the source. The Security Research group is hiring a senior, hands-on Application Security Researcher to push modern AppSec forward - working with engineers, researchers and AI/data scientists on next-generation detection, including autonomous, agentic pen-testing capabilities. This is a build-and-break role, not a typical AppSec position.

Requirements

Must-have skills:

5+ years hands-on in offensive security, vulnerability research, or application security
Deep understanding of web application and API vulnerabilities, including business-logic flaws and multi-step attack chains
Strong coding in Python, Go, or similar, with production-quality code shipped
Experience building or tuning detection logic (SAST, DAST, SCA, secrets, or custom rule engines) and reducing false positives
Solid grasp of modern stacks: CI/CD pipelines, containers, Kubernetes, and at least one major cloud provider
Hands-on use of LLMs / AI models for security tasks, with the judgment to measure where they help and where they fail
Comfort with large datasets (SQL, BigQuery, or similar) to drive research and measure detection accuracy
Takes research ideas from prototype to production with minimal guidance
Clear written communication - can explain a complex attack path to engineers and product managers
M.Sc. in Computer Science, Cyber Security, or a related field

Nice to have:

Published research, CVEs, conference talks, or a bug bounty track record
Experience building AI agents or evaluation frameworks for LLMs
Background in exploit development, red teaming, or penetration testing
Code analysis techniques (taint analysis, call graphs, reachability)
Contributions to open-source security tools

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More about this job

Responsibilities

The researcher will work with engineers and data scientists to develop next-generation detection capabilities, including autonomous agentic pen-testing. This role involves taking research ideas from prototype to production to secure AI-driven SDLC processes.

Requirements

Candidates must have at least 5 years of experience in offensive security or vulnerability research and strong coding skills in Python or Go. A Master's degree in Computer Science or a related field is required, along with deep knowledge of web application vulnerabilities and modern cloud stacks.

Skills

Offensive security
Vulnerability research
Application security
Python
Go
SAST
DAST
SCA
CI/CD
Kubernetes
Cloud computing
LLMs
AI models
SQL
BigQuery
Exploit development

Visa sponsorship

Not detected in the job text

Keywords

Application Security
Vulnerability Research
Offensive Security
Python
Go
SAST
DAST
SCA
CI/CD
Kubernetes
Cloud
LLMs
AI
SQL
BigQuery
Exploit Development
Red Teaming
Penetration Testing
Taint Analysis
Call Graphs
Reachability
SDLC
API Security
Business Logic Flaws
Agentic Pen-testing
Detection Logic
Secrets Management
Cyber Security
Computer Science
Bug Bounty

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