Quantitative Platform Engineer

Our client, a leading systematic and quantitative hedge fund based in Dubai, is seeking a Quantitative Platform Engineer to take ownership of, improve, and maintain the infrastructure supporting cutting-edge research and production platforms. The successful candidate will work closely with quantitative researchers and developers, helping to build and support robust, scalable, and high-performance systems that directly contribute to the firm's trading and research capabilities. The ideal candidate will have deep experience in Linux systems engineering and Python development, with a strong background supporting production backend systems. A solid understanding of relational databases and SQL is required, alongside proven experience within financial services. This is a high-impact role offering significant ownership and the opportunity to collaborate with some of the industry's leading quantitative professionals in a fast-paced, technology-driven environment. Responsibility's: • Own and enhance Linux (Red Hat) infrastructure, ensuring reliability, performance, and security. • Troubleshoot production issues and manage provisioning, migrations, backups, and disaster recovery. • Administer and optimise databases including MariaDB, MS SQL, MongoDB, and Redis. • Maintain Airflow workflows and Python-based data ingestion and transformation pipelines. • Build and improve quantitative research platforms, developer tooling, and CI/CD processes. • Support containerisation, distributed computing, and AI-driven monitoring and automation initiatives. Requirements: • Strong Linux systems engineering experience, ideally within Red Hat environments. • Advanced Python development skills supporting production backend systems. • Strong knowledge of relational databases, SQL, and data-driven applications. • Proven experience troubleshooting infrastructure, application, and data pipeline issues. • Comfortable taking ownership of business-critical platforms in fast-paced environments. • Experience with Airflow, CI/CD, containerisation, distributed computing, or quantitative research platforms is highly desirable.

Strong Linux systems engineering experience, ideally within Red Hat environments. Advanced Python development skills supporting production backend systems. Strong knowledge of relational databases, SQL, and data-driven applications. Proven experience troubleshooting infrastructure, application, and data pipeline issues. Comfortable taking ownership of business-critical platforms in fast-paced environments. Experience with Airflow, CI/CD, containerisation, distributed computing, or quantitative research platforms is highly desirable.

Own and enhance Linux (Red Hat) infrastructure, ensuring reliability, performance, and security. Troubleshoot production issues and manage provisioning, migrations, backups, and disaster recovery. Administer and optimise databases including MariaDB, MS SQL, MongoDB, and Redis. Maintain Airflow workflows and Python-based data ingestion and transformation pipelines. Build and improve quantitative research platforms, developer tooling, and CI/CD processes. Support containerisation, distributed computing, and AI-driven monitoring and automation initiatives.