AI Security & DevOps Engineer

📋 Description

• Own and continuously improve the security standard for moving AI systems from development through
• Define and operate security gates across the delivery lifecycle, including threat modeling
• Harden applications and AI systems across authentication, identity, secrets management, data
• Establish controls for AI-specific risks such as prompt injection, excessive agency, tool and
• Own security-critical platform capabilities including CI/CD, automated security scanning
• Audit repositories and internal systems, identify vulnerabilities and weaknesses, and implement

🎯 Requirements

• Deep hands-on experience in application and product security, including threat modeling
• Strong DevOps and platform engineering expertise covering CI/CD, infrastructure-as-code, cloud
• Strong experience with Azure, with additional familiarity with AWS and/or GCP.
• Advanced knowledge of identity and authentication technologies, including OAuth/OIDC, SSO, SCIM
• Demonstrated expertise in LLM and AI agent security, including prompt injection, excessive agency
• Practical experience implementing secure SDLC practices, including SAST, DAST, SCA, dependency

🎁 Benefits

• CAD $180,000–$230,000 compensation range for Canada, with actual compensation calibrated according
• Fully remote position for candidates based in Canada.
• Occasional client travel.
• Flexible working arrangements across North American and international teams, with most
• Medical, dental, and vision coverage.
• Flexible paid time off.