Observability Engineer - Splunk / Kafka

Description :

Job Description : AI-Driven Observability Engineer

Experience : 10+ Years

About the Role :

We are seeking a highly skilled AI-Driven Observability Engineer to design, implement, and maintain end-to-end observability solutions for infrastructure and application. You will play a key role in ensuring the reliability, performance, and scalability of our distributed systems by developing monitoring, logging, and tracing capabilities. The ideal candidate will have expertise in ETL, Data Science, and Machine Learning, along with hands-on experience in OpenTelemetry, Splunk, Kafka for comprehensive observability.

Key Responsibilities :

• Design & Develop Observability Solutions : Build and enhance telemetry pipelines for logs, metrics, and traces using industry-standard tools (kafka, OpenTelemetry, Splunk)
• Instrument Applications : Implement observability best practices in infrastructure, applications and platforms.
• Design and Implement machine learning models to analyze logs, metrics and traces for anomaly detection, predictive failure analysis and root cause analysis.
• Monitor & Analyze System Performance : Build and Develop real-time data visualization dashboards and alerts to track system health, detect anomalies, and support real-time troubleshooting.
• Work with Event-Driven Architectures : Integrate observability with messaging systems like Kafka, RabbitMQ, or Pulsar for real-time monitoring.
• Collaborate Across Teams : Work closely with SREs, DevOps, and development teams to improve system reliability and incident response.
• Security & Compliance : Ensure observability data is securely stored and compliant with relevant regulations (GDPR, HIPAA, etc.).
• Optimize Performance : Conduct root cause analysis and improve system observability to reduce downtime and improve response times.

Required Skills & Experience :

Preferred Qualifications :

Why Join Us ?

(ref : hirist.tech)