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Senior Application Security Researcher

  • Toronto, ON, Canada

Full-time

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Job details

Job type
Full-time
Posting language
English
Posted

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
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

Categories

  • Technology
  • Security & Safety
  • Software
  • Data & Analytics
  • Science & Research

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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