Site Reliability Engineer 3

📋 Description

• End-to-end reliability ownership for production systems (on-call, incidents, SLO/SLI).
• Build and maintain observability across metrics, logs, traces with anomaly detection.
• Design AIOps workflows for event ingestion, enrichment, correlation, deduplication, noise reduction.
• Develop AI-assisted operational processes (log analysis, incident summaries, RCA, runbooks).
• Create automation solutions with AI-enhanced runbooks and self-healing workflows.
• Implement safeguards, approvals, rollbacks, and audit controls for automation.

🎯 Requirements

• 6+ years in SRE, AIOps, DevOps, or production engineering in large-scale cloud environments.
• Strong knowledge of Linux/Unix, networking, distributed systems, and AWS/Azure/Google Cloud.
• Expert-level experience with ELK/OpenSearch: log ingestion, indexing, dashboards, and alerting.
• Strong observability across logs, metrics, and distributed tracing.
• Experience preparing telemetry data for AIOps: enrichment, service mapping, normalization, and correlation.
• Hands-on AIOps: anomaly detection, alert correlation, intelligent alerting, and automated enrichment.

🎁 Benefits

• Competitive compensation package.
• Fully remote work opportunity from India.
• Opportunity to work with advanced cloud, automation, and AI-driven technologies.
• Exposure to large-scale production environments and complex reliability challenges.
• Collaboration with globally distributed engineering teams.
• Professional growth opportunities through innovative technology initiatives.