Quantitative Platform Engineer | Dubai, UAE | In-Office

Selby Jennings; Dubai; On-site; AED 441,000 - 734,000; Full time

Job summary

Selby Jennings in Dubai represents a leading systematic hedge fund seeking a Quantitative Platform Engineer to own, improve, and maintain the infrastructure behind cutting-edge research and production platforms.

You will collaborate with quantitative researchers and developers to build robust, scalable, and high-performance systems that directly support trading and research capabilities in a fast-paced, technology-driven environment.

Qualifications

• Experience in Linux systems engineering, preferably Red Hat.
• Advanced Python development for production backends.
• Strong SQL and relational database skills.
• Experience in financial services is preferred.
• Experience with Airflow, CI/CD, containerisation or quantitative research platforms is desirable.

Responsibilities

• Own and enhance Linux (Red Hat) infrastructure for reliability and security.
• Troubleshoot production issues and manage provisioning, migrations, backups, and DR.
• Administer MariaDB, MS SQL, MongoDB, and Redis databases.
• Maintain Airflow workflows and Python-based data pipelines.
• Build and improve research platforms, tooling, and CI/CD processes.
• Support containerisation, distributed computing, and AI-driven monitoring.

Skills

Linux systems engineering

Python development

Relational databases

SQL

Production backend

Tools

Airflow

CI/CD

Containerisation

Distributed computing

Quantitative research platforms

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.