Senior trading cloud data/quant engineer – quant trading : milan, italy : $300k package + equi

We are partnered with a technology-driven quantitative trading firm seeking a Trading Cloud Data/Quant Engineer to join a core engineering group responsible for mission-critical trading and research infrastructure. This role sits at the intersection of cloud infrastructure, real-time data, and trading systems, supporting both live execution and research workflows in a performance-sensitive environment. The Opportunity You'll help design and operate highly scalable, low-latency platforms that power data ingestion, trading engines, and machine-learning workflows. Working closely with quants, trading engineers, and researchers, you'll play a key role in optimizing execution performance and ensuring the reliability of systems that run around the clock. The firm places a strong emphasis on engineering excellence, automation, and performance, offering a technically deep role with real ownership and impact. Key Responsibilities

Build and maintain AWS-based infrastructure supporting trading and research platforms Design and operate cloud-native data pipelines (batch and real-time) Develop and support Kafka-based streaming systems and connectors Work on trading engine and execution data flows, with a focus on reliability and performance Contribute to latency and execution optimization across data and service layers Support cloud databases and high-throughput storage solutions Enable and support ML workflows used by research and trading teams Collaborate across engineering, trading, and quantitative research teams

Key Requirements

Strong hands-on experience with AWS infrastructure and cloud services Solid background in data engineering, including large-scale pipelines Experience with Kafka, distributed systems, and streaming architectures Exposure to trading engines, execution systems, or performance-critical platforms Understanding of latency optimization and high-performance system design Experience working with cloud databases (SQL and/or No SQL) Familiarity with ML workflows in production or research environments Background in quantitative trading, financial markets, or similar high-performance domains is advantageous

Why This Role

Join a high-performing, engineering-led quant firm Work on systems directly supporting live trading and research Technically challenging problems with real commercial impact Competitive compensation, strong bonuses, and long-term incentives