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Status Neo - Senior Observability Engineer - Kubernetes

Status Neo - Senior Observability Engineer - Kubernetes

StatusNeo Technology Consulting Pvt. LtdDelhi, IN
7 days ago
Job type
  • Remote
Job description

Description :

Title : Senior Observability Engineer

Experience : 7+ years

Location : Remote

Type : Full-time

Job Description : About the role :

We want one observability standard across the stack. Today : some services emit metrics, some dont; frontend isnt fully measured; infra / GitOps / app alerts all land in the same place. You will design and roll out the observability blueprint browser ? frontend (React / Next.js / RUM) ? API / GraphQL ? Kubernetes ? alert routing so we can see real user performance, track P95 / P99, keep SLOs for critical envs, and send the right alerts to the right teams.

Must-have :

  • 8+ years in Observability / SRE / Platform / Backend with production systems.
  • Strong Kubernetes experience (agents / DaemonSets, metadata enrichment).
  • OpenTelemetry hands-on for Go, Node.js, and browser knows what to add to code, not just turn on APM.
  • RUM experience in Datadog (Preferred) / Grafana / Dynatrace and can set up FE ? BE correlation.
  • Solid Prometheus / Grafana or Datadog skills (histograms, recording rules, alerting rules).
  • Proven track record of reducing alert noise and standardizing SLOs across teams.

What you will do :

  • Enable RUM & frontend metrics for React / Next.js (Web Vitals, SPA nav, network timing, JS errors) and link them to backend traces.
  • Instrument API / GraphQL calls so user actions can be traced down to slow endpoints / services.
  • Define SLO / SLI templates (latency, availability, error rate) per environment / client.
  • Design alert strategy : severity levels (P1 / P2 / P3), who gets what (infra vs app vs GitOps), Slack / Teams routing, and escalation.
  • Standardize observability across the stack :
  • Standard labels / tags (service, env, version, tenant)
  • Standard dashboards per service (traffic, errors, latency, saturation)
  • Standard alert rules (burn-rate, error spike, high latency)
  • Standard OTel / Alloy collector config checked into Git
  • Run OTel / Grafana Alloy pipelines for metrics, logs, traces with sampling and cardinality controls.
  • Ship golden dashboards for : Frontend UX, API performance, Service / K8s health.
  • Keep it GitOps : dashboards, alert rules, and collector configs as code (ref : hirist.tech)
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    Observability Engineer • Delhi, IN

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