Python Developer

🚀 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 [email protected]

⚠️(Please note: We are sorry, but visa sponsorship is not available for this role—candidates must hold existing right to work in the UK).