Trading Platform Support Specialist — Relocation Available

Radley James

Dubai

On-site

AED 180,000 - 260,000

Full time

2 days ago
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Benefits offered by this job

Relocation support
Bonus
Tax-free salary

Job summary

Radley James in Dubai seeks an Application Support Specialist to troubleshoot and optimize trading applications in a fast-paced environment. You will work closely with traders, portfolio managers, and developers to ensure smooth operation of front-to-back platforms and timely issue resolution.

You will onboard new users, monitor production systems, and participate in releases and deployments, leveraging Linux/Unix, SQL, and Python skills to maintain high service levels.

Qualifications

  • 3+ years of application or production support experience.
  • Strong Linux/Unix, SQL, and scripting experience (Python preferred).
  • Experience supporting complex enterprise applications in a production environment.
  • Strong troubleshooting, analytical, and communication skills.
  • Financial services or trading environment experience is advantageous.

Responsibilities

  • Provide support for trading and business-critical applications across front, middle, and back-office functions.
  • Investigate and resolve production issues while maintaining high service levels.
  • Partner with traders, operations teams, and developers to improve system performance and supportability.
  • Onboard new users and configure applications to support business workflows.
  • Monitor production systems and participate in release testing and deployments.

Skills

3+ years experience
Linux/Unix
SQL
Python

Tools

SQL
Python
Linux/Unix

Job description

Radley James in Dubai seeks an Application Support Specialist to troubleshoot and optimize trading applications in a fast-paced environment. You will work closely with traders, portfolio managers, and developers to ensure smooth operation of front-to-back platforms and timely issue resolution.

You will onboard new users, monitor production systems, and participate in releases and deployments, leveraging Linux/Unix, SQL, and Python skills to maintain high service levels.

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