Senior Security Engineer (AI & DevSecOps)
Key details
- Compensation
- $63,000 - $97,000
Job Description
Salary: £63,000 - 97,000 per year
Requirements
- We want someone with a foundational background in software engineering or DevOps before moving into a dedicated security role.
- We want proven, hands-on experience securing modern cloud infrastructure and containerised environments.
- We want a solid understanding of infrastructure-as-code principles and the security implications of how infrastructure is defined and provisioned.
- We want proficiency in deploying and administering enterprise security platforms, ideally across CNAPP, EDR, SIEM, and zero-trust networking.
- We want you to be an active user of AI in professional and personal contexts, including agentic AI tools and coding assistants, with a grounded understanding of AI threats.
- We want scripting and automation capability, particularly in Python.
- We want prior experience or a demonstrated practical interest in securing AI workloads, data pipelines, and machine learning environments.
- We want strong communication skills to collaborate with technical stakeholders, translate risk for business leadership, and present technical security evidence in audits.
Responsibilities
- We will have you architect and deploy the secure technical framework that governs how our developers and scientists use agentic AI.
- We will have you act as the primary technical security voice in decisions around the use and deployment of externally developed AI.
- We will have you mature automated security controls within CI/CD pipelines and infrastructure-as-code deployments.
- We will have you own our core security technology stack, including Wiz, CrowdStrike, Google SecOps, and Tailscale.
- We will have you drive the delivery of strategic security initiatives by identifying, triaging, and closing gaps across our cloud environments, internal networks, and developer workflows.
- We will have you provide technical oversight of the security of data pipelines feeding our internal AI systems and the permissions and access boundaries of agentic AI systems.
- We will have you complement our existing biometric and product-focused Red Team by owning security coverage of the DevSecOps surface, build pipeline, internal toolchain, cloud environments, and developer infrastructure.
- We will have you act as the primary technical security partner to our GRC-focused InfoSec Manager.
- We will have you represent the technical security function in external audits and present evidence of controls.
Technologies
- AI
- Architect
- CI/CD
- Cloud
- DevSecOps
- DevOps
- Support
- Machine Learning
- Python
- Security
- LESS
- LLM
More
We are iProov, a science-based biometric solutions company helping security-conscious organizations streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC provide resilience against deepfakes and generative AI threats while delivering scalable user experiences. We are trusted by leading governments and enterprises worldwide. This role reports to our Head of Cybersecurity and is based at WeWork Waterloo in a hybrid working setup. We offer a competitive package with base salary, a 20% company performance bonus, share options, and US iProov benefits, along with a broad benefits package that includes annual leave, growth shares, pension and salary sacrifice schemes, learning and development support, flexible hybrid working, wellbeing perks, and private health and lifestyle rewards. We are proud of our inclusive culture and are committed to equal opportunities, psychological safety, and building a diverse workforce.
last updated 27 week of 2026
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Range from 8 indexed roles at this employer: $63,000 - $97,000(mid ~80000)
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Source: DevITJobs • Last updated 2w ago