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Enterprise Observability Platform Engineer

Enterprise Observability Platform Engineer

be a catalyst
8-12 Years
Not Disclosed
  • Posted a month ago
  • Be among the first 10 applicants

Job Description

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: Gurgaon, India

: 8 – 12 Years

: Full-Time

: OpenTelemetry, Prometheus, Grafana, Splunk, Elastic, Datadog, Kubernetes, AWS, Azure, Python, Terraform

We are looking for an experienced Consultant – Enterprise Observability Platform Engineer to design, develop, and govern an enterprise-wide observability platform. The ideal candidate will drive platform architecture, establish observability standards, enable developer self-service, and support engineering resilience across cloud-native, hybrid, and legacy environments.

Define and evolve the Enterprise Observability Platform architecture integrating logs, metrics, traces, events, and alerts

Design reference architectures and observability patterns for cloud-native and monolithic applications

Evaluate and integrate observability tools including OpenTelemetry, Prometheus, Grafana, Elastic, Splunk, Datadog, and New Relic

Define enterprise observability standards, SLOs, SLIs, instrumentation guidelines, and telemetry governance

Build and maintain scalable, highly available, and cost-optimized observability platform services

Automate provisioning, onboarding, alert configuration, and tenant lifecycle management

Enable self-service capabilities through instrumentation kits, dashboards, alert templates, and troubleshooting guides

Collaborate with Platform Engineering, Developer Experience, SRE, and Application teams to drive observability adoption

Lead application onboarding, migration, and telemetry integration initiatives

Define observability KPIs, telemetry baselines, and portfolio-level monitoring strategies

5+ years of experience in Site Reliability Engineering (SRE), Platform Engineering, or DevOps

Strong understanding of Observability concepts – Logs, Metrics, Traces, Events, SLOs, SLIs, RED & USE models

Hands-on experience with Grafana, Prometheus, Elastic, Splunk, Datadog, OpenTelemetry, or New Relic

Strong scripting and automation skills using Python, Go, Bash, or Terraform

Experience with Kubernetes, Container Orchestration, AWS, and Azure

Experience building or supporting Enterprise Observability Platforms

Knowledge of Multi-Tenant Observability Systems and Governance-as-Code

Experience with CI/CD integration and developer enablement

Strong troubleshooting, automation, and platform engineering mindset

Excellent communication and stakeholder management skills

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