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Full timeTechnology

Quantitative Platform Engineer

Selby JenningsDubaiUnited Arab Emirates

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationDubai, United Arab Emirates
MariaDBMongoDBSQLAirflowData PipelinePythonRedisCI/CDLinux

Job description

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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