Splunk Engineer

Insight Global is seeking a Splunk Engineer to support operational monitoring, log analysis, and observability for complex, high-availability systems within a financial services environment. This individual will play a critical role in analyzing large volumes of log data across ATM software, middleware, and backend systems to improve system stability, performance, and reliability., Log Analysis & Diagnostics

• Perform deep log analysis across ATM software, middleware, and backend systems to identify failures, anomalies, and performance trends.

• Leverage centralized logging platforms (Splunk) to troubleshoot complex, multi-system production issues.

• Develop and maintain Splunk queries, dashboards, and alerts to proactively detect emerging problems.

• Utilize log and event data to support root cause analysis, capacity planning, and platform stability improvements.

Monitoring, Metrics & Observability

• Define, implement, and maintain operational metrics including availability, latency, error rates, and transaction success.

• Build real-time and historical dashboards, alerts, and reports to provide visibility into system and ATM health.

• Partner closely with operations, engineering, and support teams to mature observability and reliability practices.

• Support incident response efforts by providing actionable insights and data-driven troubleshooting guidance.

• 5-7 years of experience using Splunk for log analysis, dashboard creation, alerting, and troubleshooting.
• Strong experience working with large-scale production systems and supporting issue resolution in real time.
• Solid understanding of logging, monitoring, and observability concepts across distributed systems.
• Experience defining meaningful operational metrics and SLIs/SLOs.
• Strong analytical and problem-solving skills with the ability to translate data into actionable insights.
• Excellent communication skills and the ability to collaborate with cross-functional teams. - Experience supporting ATM platforms or working within financial services environments.
• Familiarity with CEN/XFS, ATM device drivers, or ATM middleware frameworks.
• Strong SQL and relational database experience, preferably with Oracle DB.
• Experience working with transaction-based systems requiring high availability and reliability.
• Background in capacity planning or performance engineering.