Application Support Engineer

Saxon GlobalWilmington, NC

About The Position

We are seeking an experienced Application Support Engineer to join our team. This role is crucial for providing hands-on production support within Capital Markets or other trading environments. You will be responsible for managing major incidents, leading cross-team investigations, and ensuring the resolution of complex technical issues. A strong understanding of ITIL service management principles and proficiency with various monitoring and ticketing tools are essential. The ideal candidate will possess excellent communication skills and a data-driven approach to performance and reliability improvement.

Requirements

  • 5+ years of hands-on experience in front-office production support within Capital Markets or other trading environments.
  • Strong technical expertise in Linux and Windows administration.
  • Strong technical expertise in SQL (complex queries, stored procedures, performance tuning).
  • Strong technical expertise in Scripting (Shell, Python, Perl, or similar).
  • Strong technical expertise in Database and infrastructure fundamentals.
  • Proven ability to manage major incidents, lead cross-team investigations, and drive issues to resolution.
  • Solid understanding of ITIL service management (Event, Incident, Problem, and Change).
  • Proficiency with Control-M, Geneos, ServiceNow, and enterprise monitoring tools.
  • Excellent communication and composure when interacting with traders, senior stakeholders, and technology partners.
  • A data-driven mindset, comfortable using metrics and trend analysis to improve performance and reliability.

Responsibilities

  • Provide hands-on production support within Capital Markets or other trading environments.
  • Manage major incidents, leading cross-team investigations.
  • Drive issues to resolution.
  • Apply ITIL service management principles (Event, Incident, Problem, and Change).
  • Utilize enterprise monitoring tools for performance and reliability.
  • Improve performance and reliability using metrics and trend analysis.
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