Job Description

Job Summary

We are hiring an FX Trading Production Support Engineer to support live foreign exchange trading applications for a global bank. You will investigate production incidents, troubleshoot trading connectivity, and collaborate with trading, technology, and infrastructure teams to restore service.

Responsibilities

Monitor FX trading applications to identify and investigate issues affecting order flow, trade execution, and system availability
Use Unix/Linux commands, application logs, and SQL queries to trace transactions and diagnose production failures
Troubleshoot FIX connectivity and messaging issues, including session failures, rejected orders, and missing messages, to maintain trading system integrity
Coordinate incident resolution by communicating updates clearly and documenting root causes and follow-up actions for continuous improvement
Support production releases by conducting post-deployment checks and participating in disaster recovery exercises to ensure system resilience
Enhance monitoring capabilities and automate recurring support tasks to improve operational efficiency

Required competencies and certifications

Hands-on experience troubleshooting FIX sessions and messages in a live trading environment
Strong Unix/Linux, SQL, and shell scripting skills, with practical experience in a programming language such as Python or Java
Experience with monitoring and observability tools such as Grafana, Splunk, Prometheus, or Geneos
Practical understanding of FX products and the trade lifecycle, supported by at least 5 years of production support, site reliability engineering, or DevOps experience in trading or financial services environments

Preferred competencies and qualifications

Bachelor's degree or higher, preferably in science, technology, engineering, or mathematics (STEM)
Familiarity with cloud platforms, containers, CI/CD pipelines, and Agile software delivery methodologies

Other Information

Apply via MyCareersFuture with your updated CV. Please highlight the FX platforms and products you have supported and how you used FIX, Unix/Linux, and SQL to investigate production incidents.

Morgan McKinley