Security Engineer (Vulnerability Engineering)

TL;DR

Security Engineer (Vulnerability Engineering): Designing and owning the vulnerability engineering pipeline to automate the flow from threat intelligence to actionable remediation with an accent on AI-powered tooling and automated PR generation. Focus on reducing developer friction, eliminating false positives, and building scalable security automation.

Location: Remote across Canada, the US, and the UK

Salary: $128,000 – $200,000 per year

Company

hirify.global is a high-growth SaaS company providing business and practice management tools for healthcare clinics.

What you will do

• Design, build, and own the vulnerability engineering pipeline from threat intelligence ingestion to automated PR generation.
• Drive the adoption of AI within the security team by experimenting with and sharing AI-powered tooling.
• Partner with development teams to provide validated security findings as a service, reducing remediation friction.
• Coordinate and track the resolution of complex, multi-team vulnerability findings.
• Contribute to the on-call rotation and enhance incident response runbooks and post-incident reviews.

Requirements

• Depth in security engineering with a track record of shipping automation or internal security tooling.
• Hands-on experience with Python and CI/CD security integrations, particularly GitHub Actions.
• Applied knowledge of web and API vulnerability classes and familiarity with SAST, SCA, DAST, and ASPM tooling.
• Ability to influence cross-functional teams without authority and high emotional intelligence.
• Experience acting as a force multiplier through mentoring and setting technical direction.
• Must be based in Canada, the US, or the UK.

Nice to have

• Experience with mobile application vulnerabilities.

Culture & Benefits

• Remote-first environment with a team spanning Canada, the US, and the UK.
• Transparent, growth-based compensation model with regular career development conversations.
• Comprehensive benefits package.
• Culture of curiosity and experimentation, especially with AI-assisted workflows.
• Focus on delivering "delight" and solving real problems collaboratively.