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Splunk to Grafana Migration Engineer

Splunk to Grafana Migration Engineer

Vista Applied Solutions Group Incranchi, India
3 days ago
Job description

Splunk → Grafana Migration Engineer

Timeline : 11 / 24 / 2025-1 / 30 / 2026

Interviews : Thursday (20 / 11) & Friday (21 / 11)

Working Hours : 1 : 30-9 : 30pm IST

Purpose :

Execute the migration of existing Splunk dashboards, searches, and alerts into Grafana.

This role focuses exclusively on Grafana-side implementation to include dashboards, queries, and alerting with no responsibilities for data ingestion configuration, data-source integration, RBAC, or architecture.

  • Client should be complete with the data ingestion cutover by the time this resource starts. This resource will be responsible for migrating 66 dashboards from Splunk to Grafana (will have a team of 3 to assist). Their contract with Splunk ends on 1 / 15 / 26 so need this complete ASAP

Responsibilities

  • Convert existing Splunk dashboards into Grafana dashboards using PromQL, LogQL, variables, and Grafana transformations.
  • Translate Splunk SPL queries into equivalent PromQL (metrics) and LogQL (logs) using existing, already-configured data sources.
  • Rebuild Splunk alerts as Grafana Alerting Rules, including conditions, thresholds, and notifications.
  • Optimize dashboards for performance and maintainability.
  • Build reusable dashboard templates and standardized visual patterns to ensure consistency across teams.
  • Validate migrated dashboards and alerts with engineering teams to ensure they meet or exceed original functionality.
  • Provide guidance to internal teams on best practices for PromQL / LogQL query writing and dashboard usage.
  • Work with engineering teams when needed to verify labels, metric availability, or log fields without modifying ingestion pipelines.
  • Required Skills & Experience

    Grafana Expertise (Must-Have)

  • 3+ years building production Grafana dashboards at scale.
  • Strong proficiency with :
  • PromQL (complex aggregations, rate functions, histograms, label filters)
  • LogQL (parsing, filters, pattern matching, metadata extraction)
  • Grafana alerting (unified alerting, multi-condition rules, notification rules)
  • Dashboard variables, transformations, templating
  • YAML-based dashboard provisioning
  • Experience with MVP-level dashboard performance tuning.
  • Splunk Experience (For Translation)

  • Ability to read and interpret SPL queries, saved searches, and alert conditions.
  • Ability to translate SPL logic into PromQL / LogQL equivalents while maintaining intended behavior.
  • Familiarity with Splunk dashboard constructs (tokens, drilldowns, logic) to properly map them into Grafana.
  • Observability Knowledge (Must-Have)

  • Strong understanding of logs vs metrics and how they map into Loki-style querying.
  • Ability to correlate metrics and logs in Grafana for equivalent observability outcomes compared to Splunk.
  • Nice-to-Have Skills

  • Experience migrating Splunk dashboards to Grafana in a previous engagement.
  • Familiarity with Grafana Loki.
  • Experience with distributed tracing correlation (nice but optional).
  • Basic scripting (Python, Bash) for automating dashboard provisioning.
  • Deliverables Expected

  • Scope : Defined Splunk dashboards recreated in Grafana.
  • Query Translation : All SPL → PromQL / LogQL migrations documented and validated.
  • Alert Migration : Equivalent Grafana alert rules replacing existing SPL alerts.
  • Validation & Knowledge Transfer : Peer programming, engineering knowledge transfer, and verification sessions with consuming teams to confirm fidelity to Splunk dashboards.
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    Engineer Splunk • ranchi, India

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