Senior Security Engineer (AI / Cloud / Platform)
London – Hybrid
The client:
This team is building a platform that sits at the intersection of AI, high-performance computing, and scientific research. Their work supports complex modelling and large-scale data processing, where security is critical from day one.
The environment is fast-moving and research-led. You’ll work closely with engineers, researchers, and infrastructure teams to ensure security keeps pace with the platform as it evolves.
It’s still a scaling environment. There’s ambiguity, and you’ll be expected to take ownership and shape how security is designed and implemented across the business.
The role:
As a Senior Security Engineer, you’ll own and develop the security foundations of a modern AI and HPC platform.
- You’ll design and review secure architectures across cloud platforms and HPC infrastructure
- You’ll work closely with DevOps teams to embed security into infrastructure using IaC and policy-as-code principles
- You’ll secure CI/CD pipelines, ensuring code is protected from commit through to production
- You’ll carry out threat modelling and risk assessments, supporting teams with clear remediation plans
- You’ll act as an escalation point for complex incidents and vulnerabilities
- You’ll design and implement identity and access strategies, including zero trust principles
- You’ll assess third-party systems and support secure integrations across cloud and SaaS environments
- You’ll build or integrate tools that automate security processes and reduce manual overhead
- You’ll manage security controls end-to-end, from requirements through to deployment and continuous improvement
About you (skills/experience):
You bring:
- Strong cloud security experience (ideally GCP), including IAM, networking, and resource hardening
- Proven experience with taking ownership of security architecture or leading security initiatives end-to-end.
- Experience with Infrastructure as Code (Terraform) and version control systems
- Ability to write production-level code (e.g. Python) to automate security workflows
- Experience securing containerised environments (Kubernetes/Docker)
- Solid understanding of network security and zero trust architecture
- Strong knowledge of identity and access management in cloud environments
- Experience with threat modelling and risk assessment frameworks
- Good communication skills, with the ability to explain risks clearly to non-security teams
- An understanding of attacker mindset (e.g. MITRE ATT&CK)
Desirables:
- Exposure to AI/ML security or LLM-related risks
- Experience in regulated environments (BioTech, Pharma, Healthcare)
- Knowledge of AppSec tooling (SAST, DAST, SCA, OWASP Top 10)
- Experience implementing zero trust models at scale
- Background in building or improving SecOps / detection and response functions
- Familiarity with SaaS security (Google Workspace, Jira, Slack)
- Understanding of privacy-enhancing technologies
What they can offer:
Market-leading compensation (bonus + equity)
Hybrid working – 3 days in a central London office
Apply now
If you want to shape security for a platform handling complex AI workloads and sensitive data, get in touch to discuss further.
Keywords: Security Engineer, Cloud Security, DevSecOps, AI Security, Platform Security, GCP, Kubernetes, Terraform, Zero Trust, IAM, CI/CD, HPC, BioTech, Startup,
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