Role Summary

We are looking for an Observability Engineer to design, implement, and automate enterprise monitoring and observability solutions. The role focuses on improving platform reliability, enabling proactive monitoring, and driving observability adoption across application, infrastructure, and cloud environments.

Key Responsibilities

• Build and maintain observability solutions using Splunk, Prometheus, OpenTelemetry, Tempo, and Cribl.
• Develop dashboards, alerts, KPIs, and service health monitoring.
• Drive automation initiatives using Python, Ansible, APIs, and CI/CD pipelines.
• Support instrumentation of applications, infrastructure, and distributed tracing.
• Collaborate with application, infrastructure, and platform teams to define monitoring requirements.
• Troubleshoot incidents, perform root cause analysis, and improve monitoring effectiveness.
• Promote observability standards, best practices, and self-service capabilities.

Required Skills

• Hands-on experience with Splunk, Prometheus, OpenTelemetry, Tempo, and Cribl.
• Good knowledge of Python, Ansible, GitLab, and CI/CD practices.
• Hands-on experience on Cloud services – AWS & Azure.
• Experience with monitoring, alerting, dashboards, logging, metrics, and tracing.
• Strong automation mindset and problem-solving skills.
• Excellent stakeholder management and communication skills.

Good to Have

• Nagios, Zabbix
• Splunk ITSI
• Kubernetes and cloud observability
• ServiceNow integrations
• SRE practices

Experience

• 4-8 years in Observability, Monitoring, SRE, DevOps, or Platform Engineering roles.

Key Traits: Automation-focused, customer-oriented, proactive, and capable of working effectively with both technical and business stakeholders.

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