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Production Support Engineer 837657

New York, NY 10007

Posted: 05/29/2026 Job Category: Information Technology Job Number: 837657

Job Description


NYC based financial firm is seeking a technically curious support engineer to join their Front Office Technology team. 

Responsibilities and Impact:

Build and automate
  • Design and build Python-based tooling to automate recurring operational checks, reducing manual intervention and improving system observability
  • Develop and maintain Grafana dashboards and alerting infrastructure to shift the team from reactive troubleshooting to proactive detection
  • Contribute to companies AI capabilities in an operational context -- including AI-assisted alert triage and anomaly detection as our platform matures
  • Identify repeating failure patterns and engineer permanent solutions rather than recurring workarounds
  • Maintain clear, high-quality documentation of systems, workflows, and runbooks -- with a bias toward making documentation redundant through automation

Operate and support
  • Monitor and maintain the health of their technology platform and related trading applications throughout the trading day
  • Respond to and resolve production incidents across trading systems, managing communications with investment, risk, and operations teams
  • Perform QA testing for new functionality ahead of release
  • Liaise with external brokers and vendors on order flow and market data issues
  • Collaborate with development teams to escalate and resolve complex technical problems
  • Build and maintain relationships with business stakeholders across investment and middle office teams

Required skills:
  • Bachelor’s degree in an IT related discipline
  • 3-5 years of experience in a production or application support function, ideally within financial services or a trading environment
  • Strong Python skills -- you write tooling, not just scripts
  • Working knowledge of FIX protocol, Linux, and SQL Server
  • Experience with observability or monitoring tools (Grafana, or similar)
  • Familiarity with trading or execution systems (EMSX, Flextrade, or similar EMS)
  • Exposure to market data platforms, Git, and Jira
  • Curiosity about AI/LLM tooling and how it can be applied in an operational context
  • The resilience to operate under pressure during market hours, and the drive to make those moments rarer over time

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