Chief Observability Strategist

5 days ago

Gurgaon, Haryana, India beBeeObservability Full time ₹ 1,50,000 - ₹ 28,00,000

Transformative Opportunities in AI-Powered Observability

Job Description

As a Lead Consultant for Observability, you will be at the forefront of driving innovation and building cutting-edge solutions. Our team is focused on harnessing the power of AI to redefine industries, and we're looking for talented professionals like you to join us.

We are seeking a highly skilled engineer with expertise in observability and platform engineering. Your primary responsibility will be to design, develop, and maintain systems that enable real-time visibility into complex data sets.

Key Responsibilities:

  • Platform Execution & Enablement:
    • Build and maintain runbooks for telemetry onboarding, parsers, and dashboards
    • Contribute improvements via code reviews and documentation
    • Run short enablement sessions so product squads can self-serve standardized dashboards and apply tagging/SLO standards
  • Telemetry Architecture & Migration (Datadog-first):
    • Implement and operate log/metric/trace pipelines (agents, processors, parsing, routing, archive) targeting p95 ingest latency < 60s and drop rate < 0.1%
    • Execute phased Splunk -> Datadog migrations with query/dashboard/monitor parity and validation checks
    • Apply and enforce tag standards (service, env, tier, team, owner_email, cost_center) via IaC/CI
  • CMDB / Discovery & Service Mapping (Tool-Agnostic):
    • Improve multi-cloud/on-prem discovery to >98% asset coverage reconcile CIs/relationships track and reduce CMDB data deltas
    • Align telemetry tags with the service portfolio/catalog maintain service maps linking infrastructure to business services
    • Define and monitor CI data-quality KPIs (staleness, duplicates, orphaned CIs) and drive remediation with owning squads
  • Reliability, SLOs & Incident Readiness (with SRE):
    • Partner with SRE to define SLIs/SLOs, burn-rate alerts, and 'golden' dashboards (15-minute freshness) for critical services
    • Provide post-incident analytics and feed learnings into instrumentation and configuration hygiene
  • Automation & Integrations:
    • Deliver infrastructure-as-code (Terraform/Ansible) for agents, pipelines, monitors, and dashboards
    • Build API/ETL integrations from observability/CMDB into BI platforms (e.g., Power BI/Fabric) for executive reporting
    • Evaluate lightweight streaming/collector options (e.g., OpenTelemetry/Fluent/'Tool X') to control cost and enable fan-out where justified

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