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Senior Application Security Researcher

Comm-IT · Toronto, Canada, Canada · Remote

  • Software & SaaS
  • 501–1,000 employees
  • Petah Tikva

Mixed hiring record · median 21 days open

100100

Hiring signal

Actively hiring

Still listed on the employer's own board · How we score

All reasons
  • 26% of this employer's openings are over 60 days old

In its favour

  • Still listed on the employer's own board

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Senior Application Security Researcher at Comm-IT. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

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

Skills

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