Application Support Engineer

• Monitor production systems and analyze alerts to determine severity, business impact, and appropriate response strategy using technical expertise and operational experience.
• Investigate system anomalies by correlating logs, metrics, and traces to identify root causes and determine remediation approaches.
• Determine and execute appropriate corrective actions based on assessment of technical risk, business impact, and available remediation options (e.g., service restarts, failovers, configuration adjustments, rollbacks).
• Exercise independent judgment to balance response speed against technical risk when selecting among multiple remediation options in consultation with industry best practices.
• Evaluate incident severity and business impact to determine when immediate action is warranted versus when to coordinate with engineering teams for complex or systemic issues.
• Evaluate and enhance runbooks, operational procedures, and monitoring strategies based on operational experience and evolving system requirements.
• Plan and coordinate deployments by assessing risk, determining validation strategies, monitoring key performance indicators, and making go/no-go decisions during rollout phases.
• Plan and execute client implementations by evaluating readiness criteria, identifying technical dependencies, determining deployment sequencing, and designing validation strategies for bridging, aggregation, and reporting components.
• Assess client connectivity requirements and infrastructure readiness, making informed recommendations about configuration approaches and integration patterns to ensure successful production transitions.
• Partner with client-facing teams to assess operational risks, define technical requirements, and determine handover readiness for steady-state support.
• Identify recurring operational patterns and design automation solutions (scripts, tooling, monitoring enhancements) that improve efficiency and system reliability while maintaining appropriate safety controls.
• Analyze operational outcomes and document decisions, rationale, and results for auditability and continuous improvement.
• Lead post-incident analysis by evaluating contributing factors and recommending process improvements, monitoring enhancements, or architectural changes.
• Analyze trade execution issues, pricing anomalies, and connectivity problems by evaluating FIX/API message flows to determine whether issues require operational intervention or engineering escalation.
• Assess and validate client onboarding prerequisites (API credentials, connectivity parameters, spread and routing configurations), making informed judgments about deployment readiness and identifying gaps requiring resolution.
• Evaluate liquidity provider and platform connectivity issues, determining whether problems stem from configuration, network, or systemic factors.
• Respond to client inquiries by analyzing technical issues, determining appropriate solutions, and providing guidance within SLA commitments.
• Assess recurring client issues and technical patterns to identify opportunities for documentation improvements, process enhancements, or engineering solutions.
• Ensure operational activities adhere to security best practices and change management procedures, exercising judgment about appropriate controls for different types of changes.
• Handle sensitive client credentials and configuration data according to established security frameworks, making risk-based decisions about access and handling procedures.
• Exercise judgment in determining appropriate response urgency and escalation based on business impact, technical severity, and client criticality for issues including latency spikes, connectivity problems, trade discrepancies, and configuration gaps.

• 3+ years in production operations, site reliability engineering, or technical support for mission-critical systems.
• Basic Linux system administration skills and networking knowledge (diagnostics, troubleshooting, performance analysis).
• Experience using monitoring and observability tools to diagnose system behavior and performance issues.
• Demonstrated ability to analyze complex technical issues, evaluate remediation options, and make sound decisions under time pressure.
• Clear written and verbal communication skills for incident documentation, client interaction, and cross-team collaboration.
• Scripting (Python, Bash, PowerShell or similar) for simple automation and reporting.
• Direct experience supporting or onboarding technical client integrations (readiness checks, configuration validation, data flow verification).
• Familiarity with bridging, aggregation, and reporting integration patterns (or demonstrable ability to learn them rapidly).

• Exposure to real‑time data or financial technology environments.
• Container platform familiarity (Docker, For example, ECS, or Kubernetes).
• Streaming / messaging systems (Kafka, Kinesis, or similar).
• Basic performance troubleshooting (resource usage, latency, responsiveness patterns).
• Foundational security hygiene (least privilege, credential handling best practices).
• VMware virtualization exposure.
• Administering MetaTrader 4 (MT4, MT5) servers or related components.
• Advanced PowerShell or broader programming (Go, Java, .NET) for tooling enhancements.
• Supporting financial services clients in production triage contexts.
• Knowledge of core financial markets concepts (pricing, spreads, order flow).
• Brokerage middle or back office operational experience (trade capture, reconciliation, reporting).
• Experience automating repetitive operational tasks (scripted runbook wrappers, small tooling improvements).

The annual salary range for this role is $80,000- $140,000, depending on relevant experience.