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Application Security Engineer - Enterprise
Job in
London, Greater London, W1B, England, UK
Listed on 2026-09-04
Listing for:
CloudBees
Full Time
position Listed on 2026-09-04
Job specializations:
-
IT/Tech
Cybersecurity, AI Engineer (Applied/Software)
Job Description & How to Apply Below
• Cybersecurity Description
Job Title:
Application Security Engineer
- Enterprise (AI & Enterprise Security)
Working Time:
Full time
Location:
UK, London
- Hybrid About Cloud Bees Cloud Bees helps organizations build, run, and govern software factories, giving enterprises the confidence to ship software better, faster, and safer.
Writing code is no longer the bottleneck. Governing what reaches production and validating its impact is. As enterprises adopt agentic coding, software is created faster than most teams can review, secure, and validate. Without consistent governance, organizations risk shipping code they cannot explain, audit, or trust.
Cloud Bees addresses this challenge without asking teams to replace the tools they already use. Across every toolchain a customer runs, Cloud Bees makes each change, human or AI, visible, auditable, and accountable before it reaches production. Cloud Bees Unify is the product behind this: a governance layer, with context and control-plane capabilities, that enforces consistent policy and evidence across every tool, team, and workflow.
Founded in 2010, Cloud Bees is backed by Goldman Sachs, Morgan Stanley, Bridgepoint Capital, HSBC, Golub Capital, Delta-v Capital, Matrix Partners, and Lightspeed Venture Partners.
Visit us at .About the Role We're looking for a motivated engineer to help secure the most critical AI initiatives across the business.
Most application security engineers spend their careers on the product side. This role puts you on the other side: AI-era security for the business itself, not the product customers use. You'll work alongside the CISO on problems most companies don't have a playbook for yet.
The work is product security with an enterprise scope. Internal apps, AI tools, and agents are products that need the same threat modeling, secure design, and engineering rigour as anything customer-facing.
Alongside enterprise security work, you'll build tooling, automation, and agents that help the broader security team scale with AI.You're curious, proactive, and hands-on. We'll back you with the resources and exposure to do your best work.
This is a hands-on role. Bring initiative. We'll give you the problems worth solving.
What You'll DoSecure Development Standards Develop secure SDLC standards for internal apps and AI workflows
Build patterns, reference architectures, and the documentation teams need to self-serve
Work with business teams to raise the profile of security and adopt secure practices, especially for AI and low-code Threat modeling and risk assessment
Conduct threat modeling, risk assessments, and technical security reviews for enterprise systems, internal apps, and AI and agentic deployments
Identify and prioritize security risks; advise risk, compliance, audit, and business teams on mitigations
Translate findings into actionable enterprise controls and detection requirementsAI and agentic security
Design safeguards for enterprise AI tooling, including agents and non-human identities
Evaluate and integrate emerging AI/ML security tools
Stay current with the AI security landscape
Building and automation
Engineer and automate AI-first security workflows that scale the wider Security team Build for the enterprise domain in a way that benefits Product Security, SOC, and GRCWhat You Bring Security expertise:
Hands-on experience in software and enterprise security
Desirable: working knowledge in any of SaaS, cloud, IAM, or endpoint security
Secure SDLC:
Proficiency in secure SDLC fundamentals, including threat modelling, secure design, vulnerability management, and CI/CD security
Engineering and tooling:
Comfortable writing and reviewing code (Python, Go, Type Script, or similar)
Experience building integrations and automating security workflows
Experience with security tools at scale — SAST, DAST, SIEM, endpoint, cloud, identity, AI/ML, vulnerability management platforms AI and agentic security knowledge:
Understanding of AI/ML security risks, attack vectors, and vulnerabilities
Familiarity with agentic AI frameworks and generative AI tools
Communication and interpersonal skills:
Exceptional written and verbal communication; able to translate…
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