Application Support Engineer

Salary Range: 70000 to 110000 (Currency: USD) (Pay period: per-year-salary)

Responsibilities

• Partner Support: Serve as a technical point of contact for partner channels, including FCMs, trading service providers, and market makers. Respond to partner questions and incidents through established communication channels, including Slack and Teams.
• Production Support & Monitoring: Provide expert-level remote management, administration, and support for Production and Demo trading exchange environments, ensuring system availability and application stability.
• Daily Operations — Execute and monitor daily operational processing, including contract scheduling, settlement of expired contracts, and end-of-day/start-of-day procedures.
• Incident & Problem Management: Triage, troubleshoot, and drive resolution of production incidents. Follow defined escalation procedures and contribute to root cause analysis and post-incident reviews.
• Performance Tuning: Monitor application and system performance, identify bottlenecks, and implement tuning recommendations to maintain optimal exchange operations.
• Change & Release Support: Assist with version upgrades, deployments, and release validation in coordination with Development and QA teams.
• Shift Handover & Documentation: Maintain and update runbooks, SOPs, and operational documentation. Ensure seamless shift handovers with clear status communication.
• Process Improvement & Automation: Participate in the investigation, implementation, and operation of tools and scripts to automate, streamline, and continuously improve operational workflows.
• Collaboration: Work closely with Development, QA, Infrastructure, and partner teams to resolve cross-functional issues and support business-critical initiatives.

Requirements

• 2–5 years of experience supporting production software applications, technical platforms, integrations, partner-facing systems, client-facing operations, trading support, or market monitoring role
• Experience with trading platforms, prediction markets, exchanges, or real-time transactional environments.
• Hands-on experience with SQL and relational databases.
• Familiarity with APIs, webhooks, data feeds, and log/metrics investigation tools for troubleshooting integrations.
• Strong technical troubleshooting and incident-management skills in an SLA-driven environment.
• Excellent written and verbal communication skills, including explaining complex issues clearly to non-technical stakeholders.
• Willingness to occasionally work nights and weekends.
Nice to have
• Experience working with B2B partners or institutional clients in a fast-paced environment
• Familiarity with Linux command-line tools for inspecting logs, processes, and system behavior.
• Exposure to financial/messaging protocols (e.g., FIX, REST, WebSockets, Kafka).
• Basic scripting or automation experience using Python or Bash.
• Experience with monitoring/observability tools (e.g., Grafana, Splunk, Zabbix).
• Familiarity with cloud environments, including AWS.