Job Description

• Design and enhance observability architecture (Metrics, Logs, Traces).
• Implement centralized monitoring and telemetry collection strategies.
• Build advanced dashboards and visualization layers for service health.
• Define effective alerting models with proper thresholds and noise reduction.
• Improve system visibility across distributed services and APIs.

• Apply reliability principles to reduce incidents and service degradation.
• Define and track SLOs, SLAs, SLIs, and error budgets.
• Conduct reliability and availability analysis across services.
• Identify systemic weaknesses and recurring failure patterns.
• Contribute to resilience improvements and operational hardening.

• Lead advanced alert triage and event correlation.
• Support incident response with deep telemetry insights.
• Participate in root cause analysis (RCA) and post-incident reviews.
• Develop monitoring improvements based on incident learnings.

• Analyze performance trends and anomaly detection.
• Support capacity planning using monitoring data.
• Deliver service reliability and performance reports.

Required Technical Skills:

• Strong hands-on experience with monitoring & visualization tools: Prometheus, Zabbix, Grafana, Splunk, Kibana.
• Experience with log aggregation and analysis platforms: ELK Stack or Splunk.
• Solid understanding of Observability concepts (Metrics, Logs, Tracing, Telemetry).
• Familiarity with distributed systems monitoring.
• Linux system knowledge and performance troubleshooting.
• Understanding of network and infrastructure monitoring fundamentals.
• Experience with API/service monitoring.
• Experience with event management and ticketing systems.

• Deep understanding of MTTR, MTBF, availability, and resilience engineering.
• Experience defining and measuring SLO/SLI frameworks.
• Knowledge of alert optimization and signal-to-noise improvement.
• Strong analytical skills for failure pattern recognition.
• Experience contributing to operational readiness and service reliability.

• Experience with APM tools.
• Knowledge of automation or scripting (Python, Bash).
• Exposure to cloud-native monitoring.
• Familiarity with ITIL processes.

Soft Skills:

• Strong analytical and systems-thinking mindset.
• Calm and effective under incident pressure.
• Cross-team collaboration skills.
• Clear reporting and documentation.

Work Conditions:

• Participation in incident scenarios and reliability reviews.
• Close collaboration with Service Operations teams.