Platform Engineer – HFT, Digital Assets – Cadogan Solutions

Founding Quant / Platform Engineer

A unique opportunity to be one of the first engineers at a well‑funded, early‑stage startup building high‑performance, real‑time systems at the intersection of machine learning and complex data environments.

Key Responsibilities

• Design and build scalable, low‑latency infrastructure from first principles
• Develop systems for real‑time data processing, streaming, and deployment
• Own platform architecture across research, development, and production
• Improve reliability, performance, and observability across the technology stack
• Collaborate closely with a small, high‑calibre team on core technical direction

Required Qualifications

• Strong academic background in Computer Science, Mathematics, or related field from a prestigious university
• Strong software engineering fundamentals with distributed systems experience
• Hands‑on experience building and running production systems
• Proficiency in at least one of: Python, C++, Go, or Rust
• Experience with real‑time data systems and streaming architectures
• Experience in high‑performance or data‑intensive environments
• High ownership mindset, comfortable in an early‑stage startup environment

Preferred Qualifications

• Low‑latency systems or performance optimisation experience
• Exposure to ML infrastructure or large‑scale data pipelines
• Background in startups or small, high‑impact teams

Company Overview

A stealth startup focused on building cutting‑edge, high‑performance technical infrastructure at the intersection of machine learning and complex data environments.

#J-18808-Ljbffr…