Application Support Engineer / Technical Operations Analyst

Building a risk applications and tools for innovative international top-tier hedge fund from the ground up, comprising the systems for traders, pre-trade checks and analysis, risks and limits management, reports of trading activities, FIX connectivity, market data providers connectivity (e.g. Bloomberg B-pipe), etc.

Responsibilities:

Deep Dive Troubleshooting (L3) - Investigate complex production issues. Analyze Unix logs, query databases (SQL), and trace order flows to identify root causes. You solve problems, not just escalate them.
Technical QA & Testing - Validate technical tasks where standard QA teams might struggle. Test backend logic, data integrity, and complex trading scenarios (e.g., FIX message routing) before they hit production.
Release Management - Assist with managing the release cycle, ensuring artifact preparation and readiness for the Prod deployment
Automation & Scripting - Write / maintain scripts (Bash/Python) to automate routine checks, monitoring alerts, and data processing. We want to reduce manual toil.
Technical Analysis - Translate business requirements into technical specs. You will help bridge the gap between non-technical Business Analysts and Java Developers.

Mandatory Skills Description:

6+ years pf exp in Tech Support Linux/Unix Proficiency - Comfortable working in the terminal (grep, awk, tail, navigating file systems). SQL Knowledge - Able to write queries to select, join, and analyze data (MySQL or similar) to verify system behavior. Scripting Basics - Ability to read and write scripts in Python or Bash for automation tasks. QA/Engineering Mindset - You verify things thoroughly. You ask "what if?" and try to break the system before the traders do. English - Upper-Intermediate (B2) or higher. Clear written and verbal communication is a must. Learning Agility - Ready to learn the Financial Domain (Trading, Orders, Allocations) and FIX protocol rapidly.

Nice-to-Have Skills Description:

AI-Enhanced Workflow - Experience using LLMs (ChatGPT, Gemini) and coding assistants (GitHub Copilot) to accelerate scripting, debugging, and log analysis. We value smart efficiency.
FIX Protocol - Familiarity with Financial Information eXchange protocol (tags, messages like NewOrderSingle, ExecutionReport).
Domain Knowledge - Understanding of the Trading/Hedge Fund lifecycle (Front Office operations).
Java Literacy - Ability to read Java code to understand logic (coding is not required, but reading is helpful).
Tools - Experience with Jira, Confluence, and monitoring tools (CloudWatch, Geneos).