You will work with Python, FastAPI/Django, React, and AI tools like Claude Code, Enterprise Claude, Gemini, or Copilot. As a senior technical leader on the Real Assets and Real Estate technology team, you will build platforms supporting the end-to-end asset lifecycle for Macquarie Asset Management’s private markets business.

Work with Python, JavaScript, SQL, Kafka, AWS/Azure, PostgreSQL, SQL Server, ClickHouse, MongoDB, and optionally Kubernetes to architect real-time, high-performance trading systems for energy and commodities markets, integrating market data, risk, and back-office platforms.

Build high-performance front ends using React, TypeScript, JavaScript, React Hooks, and ES6/ES7 within a leading HFT firm's trading environment.

Lead Pricing Engineer at Citi's FX eTrading team, working with Java to build and optimize low-latency trading systems. Role involves hands-on technical implementation, system architecture, and managing a team of engineers.

Senior Low Latency Engineer working with Java, C++, Rust, KDB, market data, algorithmic trading, microservices, event sourcing, Linux, and kernel bypass technologies. The High Performance Architectures team produces application frameworks to modernise low latency eTrading platforms across over 100 teams at Citi.

You will work with Rust, Java, C++, KDB, market data, algorithmic trading technology, and low-latency frameworks including kernel bypass. As part of Citi’s High Performance Architectures team, you will build microservices-based event sourcing systems for low-latency eTrading platforms, engaging with over 100 teams across Markets Technology. This senior role involves hands-on coding, leading integration, and mentoring junior developers.