- Minimum 10 years of relevant work experience with monitoring setup using any product (Dynatrace, Datadog, ELK stack, Splunk, Grafana/Prometheus, etc.) set up in critical production environments.
- Minimum 5-6 years of work experience in end-to-end observability covering technical, user experience and business outcome metrics. Experience with AIOps is an advantage.
- Has experience working with private cloud and Cloud-native public-cloud (particularly AWS) hosted applications.
- Multi-tenancy setup and data segregation on the observability and AIOps stack.
- Designing and building an Observability & Maintenance (O&M;) module for multi-tenant solutions.
- Defining SLIs and setting up SLOs for multi-tenant solutions.
Core Capabilities
- Experience in implementing Container, Network, APM, RUM, Log Analytics, end-to-end tracing, and custom alerts with Grafana, Prometheus, Grafana Loki (alternatively Logstash or Fluent bit).
Implementing the same on any other 3rd party product like Dynatrace is also considered.
- Proficiency with containers and multi-tenancy setup for the observability solution is critical.
- Ability to configure custom alerts, monitors and build AIOps workflows based on telemetry.
- Valuable understanding of setting up integration capabilities with other systems via APIs and consuming external APIs for IAM as well as ingesting metric-based telemetry via collectors.
- Ability to build custom observability dashboards across different portfolios and personas.
- Setting up Synthetic Monitoring and Test Automation while integrating its telemetry into the observability stack.
- Tenant and data segregation as well as ability to obfuscate sensitive information on the common observability schema.
- Ability to code is preferable – Python / Java and Ansible scripting preferred.