Senior Software Engineer (Backend / AI Systems)

## About the role The security industry has spent years making detection faster - better scanner, smarter alerts, more automation and now AI can find and fix vulnerabilities in minutes. Yet the same classes of weakness continue to appear in audits, pentests, and incidents. The problem is not speed, the problem is that nobody is looking at the architecture. Software systems are not understood, they are assumed. Engineers inherit codebases, services accumulate, trust boundaries emerge across teams, clouds, and CI/CD pipelines. Over time, nobody has a complete picture of how the system actually works. Veriom changes that - we build a unified model across code, cloud, CI/CD, and production environments, helping organisations understand how their systems are actually structured and where architectural weaknesses create risk. If that is the problem you want to work on, this role is for you. ## About the company Veriom is building technology that has never existed before. We are a small team of engineers, security specialists, and systems thinkers building a new way to understand software systems. Our goal is simple: make software architecture visible, measurable, and understandable. We are venture-backed and we were selected and sponsored by the UK Government to represent British cybersecurity innovation at RSA Conference in San Francisco. Most importantly, we are still early. The architecture is still evolving. The hardest technical decisions are still ahead of us. The people joining now will help define the company, product, and technical foundations for years to come. ## Who we are looking for We are looking for a senior engineer who loves owning problems. Someone who has built and operated real systems under real conditions, has opinions about architecture they can defend, and is already thinking about what the codebase looks like in two years, not just next sprint. You will be a key technical voice at Veriom. Day to day, your work will be primarily backend-focused: LLM pipelines, agentic workflows, distributed processing, graph construction, API design, and platform architecture. If you have experience in offensive security, security tooling, observability infrastructure, or systems engineering, we would especially like to hear from you. ## What you will work on The backend systems powering Veriom's core analysis engine. - Knowledge graph construction across code, cloud, CI/CD, and infrastructure. - Agentic RAG pipelines that reason across complex technical environments. - Distributed job processing infrastructure supporting long-running analyses. - APIs consumed by customers, partners, and future platform integrations. - Architecture decisions that will shape the platform for years. - Occasional frontend contributions where they help move the product forward. This is not a role where you inherit a finished system and maintain it. The design is still live. ## Must have - Strong Python fundamentals, including asyncio, FastAPI, and clean API design. - Production