Splunk

Job description

Splunk / ClickHouse / Webfront + Python **Job Description** Design, develop, and scale distributed telemetry pipelines using Splunk and ClickHouse to process massive volumes of logs, metrics, and traces. Build intuitive, performant user-facing web portals (Webfront) and UIs that empower engineers to visualize system health and analyze root causes. Write and maintain high-quality backend automation and analytics scripts using Python. Collaborate closely with AIOps teams to build predictive alerting, anomaly detection, and automated root cause analysis. Ensure 99.99% system availability and champion a customer-centric observability strategy to reduce incident detection and resolution times. **Basic Qualifications** Experience: 5+ years building and running production-grade, distributed software systems at scale. Observability: Strong working knowledge of large-scale logging, metric, and tracing ecosystems. Data Stores: Proficiency in handling massive datasets using ClickHouse and Splunk. Backend: Deep hands-on coding ability in Python. Frontend: Solid experience building responsive, data-heavy web applications and user interfaces. Education: Bachelor's or Master’s degree in Computer Science or equivalent work experience. **Preferred Skills** Familiarity with public cloud infrastructures (AWS, GCP, or Azure). Contributions to or experience with OpenTelemetry, Prometheus, or Grafana. Passion for designing GenAI / AIOps-driven enhancements to traditional observability workflows