Senior Backend Engineer (R&D)

About the role

We're hiring a Senior Backend Engineer to join our R&D team and help build the next generation of the platform. You'll work directly with the CTO on the systems that let security teams compose AI-powered workflows, automate decisions, and work with their data in entirely new ways. This is deep, creative backend work — designing abstractions, prototyping agentic patterns, and turning ambitious ideas into production-ready systems. If you want to do genuinely pioneering work at the intersection of AI and cybersecurity, this is the role.

Why ThreatAware?

ThreatAware gives security teams a single source of truth for every device and tool in their organisation. 150+ integrations, deploys in under 30 minutes, real-time visibility across entire IT estates. Finance, legal, energy, healthcare — they trust us to show them what's protected and what isn't.

Now we're building something bigger. Six years of accurate cyber asset data, and we're layering AI on top of it — new ways for security teams to interrogate their data, automate workflows, and act on risk before it becomes a problem. You'll be at the heart of making that happen.

What you'll do

Help design and build the AI composition layer that powers the next chapter of ThreatAware.

• Architect backend systems that enable dynamic composition of data sources, AI reasoning, and automated security actions.

• Build APIs, data models, and execution engines for complex, multi-step workflows — designed for scalability, resilience, and observability.

• Prototype and validate agentic patterns: multi-agent collaboration, hierarchical reasoning, and tool use powered by LLMs.

• Ensure AI outputs are grounded in accurate cyber asset data — build retrieval systems, validation checks, and confidence indicators.

• Security at the heart of everything you build — authentication, authorisation, audit logging, and data protection are first-class concerns.

What we're looking for

• Significant backend engineering experience building large-scale, production systems — strong on system design and architectural thinking.

• Proficiency in Python, TypeScript, or equivalent — comfortable designing APIs, databases, and event-driven systems.

• Hands-on cloud infrastructure experience (AWS preferred): serverless, messaging, containerised services.

• Curious about AI and LLMs — ideally with experience integrating AI into backend systems or building AI-native applications.

• A pragmatic builder. You balance ambition with shipping, and prototyping with production readiness.

• Security-minded. You think about trust, safety, and data protection as natural parts of system design.