Senior Observability Engineer - Remote (SRE & Cloud)

Exavalu Solutions India Pvt Ltd; Poland; Remote; PLN 336,000 - 560,000; Full time

Job summary

Exavalu Solutions India Pvt Ltd is seeking a hands-on Observability Engineer for a remote role based offshore (India). The ideal candidate will design and manage enterprise observability platforms across Kubernetes and cloud environments, creating dashboards, SLOs, and alerting to drive reliability and proactive incident response.

6+ years in platform engineering or SRE, with strong skills in Prometheus, Grafana, OpenTelemetry, and containerized workloads.

Qualifications

• 6+ years of experience in Platform Engineering, SRE, DevOps, Cloud Operations, or Observability Engineering.

Responsibilities

• Design, implement, and maintain enterprise observability platforms covering metrics, logs, traces, and events.
• Build observability solutions using Prometheus, Grafana, OpenSearch, Splunk, Elastic, Datadog, Dynatrace, New Relic, or equivalent platforms.
• Develop dashboards, SLOs, SLIs, alerting rules, and service health monitoring frameworks.
• Integrate monitoring within Kubernetes and cloud-native environments.
• Enable incident management and root-cause analysis through observability best practices.
• Automate monitoring configuration and onboarding using Infrastructure-as-Code and CI/CD.

Skills

Prometheus

Grafana

Splunk

OpenSearch

Elastic

Jaeger

Tempo

OpenTelemetry

Kubernetes

Docker

Infrastructure-as-Code

Terraform

Jenkins

GitHub Actions

ArgoCD

Tools

Terraform

Jenkins

GitHub Actions

ArgoCD

Job description

Exavalu Solutions India Pvt Ltd is seeking a hands-on Observability Engineer for a remote role based offshore (India). The ideal candidate will design and manage enterprise observability platforms across Kubernetes and cloud environments, creating dashboards, SLOs, and alerting to drive reliability and proactive incident response.

6+ years in platform engineering or SRE, with strong skills in Prometheus, Grafana, OpenTelemetry, and containerized workloads.