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.
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