Job Description

Observability Platform Architect

Experience

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.
Good 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.