Description
🚀 Senior Software Engineer | Trading Intelligence Startup
Up to £120,000 + min.
15% Bonus + FTSE 250 Benefits Package
📍 London (Tower Bridge | Office-based 3-month probation ➔ Flexible Hybrid)
They need a true Systems & Software Engineer, someone who thinks in terms of computer architecture, data flow, runtime mechanics, and scalable design.
Combining the agility and speed of a startup team with the balance sheet, corporate benefits, and bonus backing of a FTSE 250 maritime and commodity brokerage giant, they are redefining how institutional brokers and trading desks execute in the market.
Founded by a hedge fund leader and commodity tech pioneer, the platform replaces fragmented manual spreadsheets and disparate client chats with a unified, AI-driven terminal.
By ingesting real-time communication feeds (WhatsApp, market commentary) alongside live commodity data, the platform leverages ML and agentic workflows to flag automated buy/sell signals directly to institutional traders and brokerages.
Senior Software Engineer:
💰 Up to £120,000 + Min.
15% Bonus + FTSE 250 Benefits Package
⏳ 5+ Years commercial backend & systems engineering
🏬 Office-based during 3-month probation (Tower Bridge / St Katharine Docks) ➔ Flexible hybrid thereafter
🚆 London (Tower Bridge / Wapping / City)
🛠️ Technical Landscape: Deep Python engineering alongside Rust, Go, or Core Java; systems architecture & computing fundamentals (memory, runtimes, OS); relational data modeling; modern frameworks ; LLM tool-calling (LangChain); and real-time streaming APIs.
⚠️ Please note: We are sorry, but visa sponsorship is not available for this role (valid UK right to work is required).
🚀 Why You’ll Want to Join:
True Engineering Ownership, Not Just Feature Coding: Direct architectural control across the full software lifecycle.
You will make key design decisions, evaluate technical trade-offs, and take complex systems problems from whiteboard architecture through to live production deployment.Startup Autonomy + FTSE Stability: Enjoy the flat hierarchy, rapid decision-making, and zero-bureaucracy culture of a 5-person team, backed by the job security, comprehensive benefits, and guaranteed bonus pool of a multi-billion-pound brokerage house.Genuinely Innovative AI in Production: This is not a superficial chatbot wrapper.
You will design and deploy real-time intelligence engines connecting LangChain, ML trend-detection models, and automated trading signal feeds used daily by commercial desks.High-Impact Collaborative Culture: Work directly alongside the founding CEO, quant experts, and commercial brokers in a culture that rewards technical autonomy, experimentation, and sound engineering principles.What You Bring:
5+ Years Commercial Experience: Battle-tested background architecting, building, and maintaining high-throughput backend services.Under-the-Hood Computing Mindset: You understand how computers actually work, how Python was built, runtime execution, memory allocation, the GIL, concurrency, and I/O.
A degree in Computing or Computer Science (or equivalent foundational depth) is strongly preferred.Python + Compiled Systems Language: Strong commercial experience with Python, combined with hands-on depth in at least one compiled language: Rust, Go (Golang), or Core Java.
(No JavaScript/Node only backgrounds).Relational Database Design: Extensive experience architecting and optimising relational databases (PostgreSQL schema design, query optimisation, indexing strategies, and data integrity).End-to-End Delivery: A proven track record of taking complex backend systems from concept to delivery .Curiosity for Applied AI: Hands-on exposure to or a strong technical interest in integrating LLM orchestration frameworks (e.g.
LangChain, tool calling, structured outputs, agentic workflows).As a Senior Engineer, you will:
Take ownership of backend architecture, scaling data models, and system design using Python, Django, PostgreSQL, and modern systems tooling.Architect robust data ingestion pipelines that aggregate unstructured, multi-channel messaging into high-integrity data streams.Integrate LangChain and machine learning pipelines to detect market movements and deliver real-time buy/sell alerts to live traders.Champion engineering best practices, maintain system reliability, and help steer technical decisions as the platform expands into new asset classes.💬 How to Apply:
Apply directly to this advert or email your CV straight to caitlin@virtuetech.io
⚠️(Please note: We are sorry, but visa sponsorship is not available for this role—candidates must hold existing right to work in the UK).