Quant Platform & Infra Engineer (Relocation Supported)

Selby Jennings; Dubai; On-site; AED 420,000 - 720,000; Full time

Job summary

Selby Jennings is seeking a Quantitative Platform / Infrastructure Engineer to own and modernise the firm's research and production platforms. The role focuses on Linux-based production systems, databases, data platforms, and data pipelines, delivering reliable infrastructure to support quantitative research.

You will work alongside researchers and engineers to implement automated deployment, containerisation, and platform tooling, with emphasis on resilience, performance, and scalable compute

Qualifications

• Experience with Linux systems engineering, Red Hat or equivalent.
• Proficient Python development and automation.
• Solid understanding of relational databases and SQL.
• Experience troubleshooting production systems and data pipelines.
• Ability to work independently and own critical infra.
• Strong problem-solving and operational mindset.

Responsibilities

• Maintain and improve Linux-based production infrastructure
• Manage system reliability, performance, monitoring, security, and upgrades
• Troubleshoot issues across infrastructure, applications, databases, and data pipelines
• Operate and optimise databases including MariaDB/MS SQL, MongoDB, and Redis
• Support Airflow workflows and Python-based data processing jobs
• Improve CI/CD processes, deployment workflows, and platform automation
• Contribute to containerisation initiatives and platform modernisation
• Support research environments and distributed compute capabilities

Skills

Linux engineering

Python automation

SQL databases

Production troubleshooting

Independent ownership

Tools

Airflow

CI/CD

Docker

Kubernetes

MongoDB

Redis

Job description

Selby Jennings is seeking a Quantitative Platform / Infrastructure Engineer to own and modernise the firm's research and production platforms. The role focuses on Linux-based production systems, databases, data platforms, and data pipelines, delivering reliable infrastructure to support quantitative research.

You will work alongside researchers and engineers to implement automated deployment, containerisation, and platform tooling, with emphasis on resilience, performance, and scalable compute