Senior Splunk Engineer

Description

Job Summary: We are seeking a Senior Splunk Engineer to evolve our observability platform, focusing on monitoring, data analysis, and continuous operational improvement through system development and enhancement. Key Highlights: 1. Contributing to the evolution of the observability platform with a focus on Splunk 2. Developing and enhancing Splunk monitoring and alerting 3. Analyzing incidents, performing root cause analysis, and contributing to the expansion of monitoring Kalendae has been operating in the Brazilian market since 2005, offering co\-sourcing and consulting services, application development, information security, infrastructure services consulting (on-premises and cloud), and training in IT and business service management. We pursue continuous service improvement aimed at customer satisfaction and employee fulfillment. SENIOR SPLUNK ENGINEER Temporary project with duration until 12/2026 Contract as an independent contractor (PJ) 100% remote work We seek a Senior Splunk Engineer to contribute to the evolution of our observability platform, focusing on monitoring, data analysis, and continuous operational improvement. This professional will be responsible for developing and enhancing monitoring and alerting on the Splunk platform, creating operational and analytical dashboards, and implementing log and metric ingestion and parsing. They will also build advanced queries using SPL, correlate events, and detect anomalies—directly contributing to reducing false positives and improving alert efficiency. On a day-to-day basis, they will play a key role in technical incident analysis, investigating root causes and proposing improvements, while also contributing to expanding monitoring coverage across the environment. We seek a professional with solid production experience in Splunk, strong analytical skills, and the ability to operate effectively in critical scenarios, supporting platform stability and reliability. Requirements: * Solid production experience with Splunk * Practical experience with: Log and event ingestion (Data Inputs); sourcetype creation and field extraction; dashboard and visualization development; alert implementation and event correlation; proficiency in SPL (Search Processing Language) for advanced query development * Experience with observability (logs, metrics, and application monitoring) * Experience in incident analysis and troubleshooting in production environments * Linux knowledge * Experience with cloud environments and/or distributed architectures (microservices) **Nice-to-have:** * Experience with Splunk Observability Cloud * Knowledge of OpenTelemetry, Prometheus, and Grafana * Automation experience (Python or Bash) * Experience with Kubernetes and containers * Experience in high-volume environments (e.g., fintechs, payment systems)