Quantitative Platform Engineer
Selby Jennings · Doubaï
Job description
About the role
A leading systematic and quantitative hedge fund based in Dubai is looking for a Quantitative Platform Engineer to own, improve and maintain the infrastructure behind its research and production platforms. The engineer works closely with quantitative researchers and developers to build and support robust, scalable, high-performance systems that underpin the firm's trading and research capabilities. The role offers significant ownership in a fast-paced, technology-driven environment.
Key responsibilities
- 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.
Required profile
- Proven experience within financial services.
- Strong Linux systems engineering experience, ideally in Red Hat environments.
- Advanced Python development skills supporting production backend systems.
- 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.
Required skills
- Relational databases and SQL
- Linux (Red Hat)
- Python
- Airflow, CI/CD, containerisation
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Published 4 days ago
Expires 1 month from now
11 views · 0 interested
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Selby Jennings
Doubaï
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