Observability Engineer

Observability Engineer

Location: Remote

Good experience in building observability stack

Good experience in building AI/ML models for predictive analysis, anomaly prediction, classification on observability signals (logs/metrics/traces)

Experience in handling unstructured data

Experience in Azure if possible

Good experience in leveraging LLMs

Key Responsibilities

• Design and implement observability solutions: Create robust observability pipelines that collect, aggregate, and analyze data from various sources, including metrics, logs, and traces.
• Monitor system performance: Continuously monitor the health and performance of applications and infrastructure to ensure high availability and reliability.
• Data analysis: Analyze collected data to identify trends, spot anomalies, and gain insights into system behaviors, enabling proactive issue resolution.
• Log management: Manage logs effectively, ensuring they are collected, stored, and analyzed to diagnose problems and monitor security.
• Collaboration: Work closely with cross-functional teams, including developers, data engineers, and IT operations, to ensure seamless integration of observability practices across the organization.
• Tool integration: Integrate observability tools and frameworks, such as Prometheus, Grafana, and Splunk, to enhance monitoring capabilities and improve system visibility.
• Incident response: Participate in incident response activities, coordinating with teams to resolve issues swiftly and minimize downtime.