Remote Senior Security Engineer; AI & DevSecOps

Senior Security Engineer (AI & Dev Ops)

iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, Gov Tech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance.

This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose.

The Role

Reports to: Head of Cybersecurity

Location: WeWork Waterloo
- Hybrid (

Comp: $ (Base) + Company Performance Bonus (20%) + Share Options + US iProov Benefits

The role was created specifically to provide the technical security depth that will allow us to accelerate our adoption of agentic AI, equipping developers and data scientists building our biometric products with the tools and workflows to use AI safely and  will work as the direct counterpart to our GRC-focused Info Sec Manager, owning the engineering and implementation side of our security posture across cloud infrastructure, developer workflows, AI systems, and our core security toolstack.

This is a role for someone who has built and shipped software or infrastructure and brings that experience into a security context.

• Architect and deploy the secure technical framework that governs the security controls for how our developers and scientists use agentic AI, including AI coding assistants, autonomous agents, and LLM-integrated tooling. Given that these systems can autonomously access data, execute code, and interact with external services, the guardrails you design will need to address a substantially broader attack surface than traditional AI tooling, and must hold up in a context where the underlying data is among the most sensitive we handle.
• Be the primary technical security voice in decisions around the use and deployment of externally developed AI, ensuring the right controls are in place from the onset
• Continuously mature automated security controls into CI/CD pipelines and infrastructure-as-code deployments, championing the Dev Sec Ops  culture across a large engineering organisation.
• Take hands-on ownership of our core security technology stack, including Wiz, Crowd Strike, Google Sec Ops, and Tailscale, ensuring these platforms are correctly configured, tuned, and integrated.
• Drive continuous technical delivery of strategic security initiatives, systematically identifying, triaging, and closing gaps across our cloud environments, internal networks, and developer workflows.
• Provide technical oversight of the security of the data pipelines feeding our internal AI systems and, critically, the permissions and access boundaries of agentic AI systems reaching out into other environments, enforcing the principle of least privilege, maintaining audit trails, and ensuring sensitive data and code integrity is handled with the rigour required.
• Complement the work of our existing biometric and product focused Red Team by…