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Role: Grafana & Observability Engineer

Experience: 5 to 10 years

Employment: W2

Location: Jersey City NJ, Tampa FL & Dallas TX

Key Responsibilities

Observability Platform Engineering

• Administer and support Grafana Cloud and on-premises Grafana deployments.
• Design and implement enterprise observability solutions for metrics, logs, traces, synthetic monitoring, and alerting.
• Establish and maintain observability standards, best practices, and governance processes.
• Configure and manage Grafana data sources, alerting, RBAC, folders, teams, and integrations.
• Ensure platform scalability, reliability, resiliency, and operational excellence.

Automation & Infrastructure as Code

• Develop and maintain Terraform modules for Grafana infrastructure and configuration management.
• Automate onboarding of applications, infrastructure, dashboards, alerts, and data sources.
• Build self-service capabilities that reduce manual operational effort and improve adoption.
• Integrate observability capabilities into CI/CD and infrastructure provisioning workflows.

Monitoring, Alerting & Incident Management

• Design meaningful monitoring and alerting strategies based on service health and business-critical workflows.
• Implement and optimize alerting standards to reduce noise and improve signal quality.
• Support incident response, troubleshooting, root cause analysis, and post-incident reviews.
• Drive continuous improvement of operational visibility and platform health.

OpenTelemetry & Telemetry Engineering

• Implement and support OpenTelemetry instrumentation across applications and infrastructure.
• Establish standards for logs, metrics, traces, and telemetry collection.
• Support telemetry pipelines, agent deployments, and data collection strategies.
• Assist teams with instrumentation design and observability adoption.

Migration & Modernization

• Support migration initiatives from legacy observability platforms to Grafana.
• Analyze existing monitoring, alerting, logging, and tracing implementations and recommend modernization approaches.
• Develop reusable migration patterns, automation, and engineering standards.
• Partner with application teams to accelerate adoption of enterprise observability capabilities.

Collaboration & Leadership

• Work closely with application development, infrastructure, cloud, and SRE teams.
• Provide technical leadership and mentoring to engineers across the organization.
• Contribute to observability architecture, strategy, and roadmap development.
• Promote observability as a core engineering practice across the enterprise.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• 5+ years of experience in observability, monitoring, operations, or platform engineering.
• Hands-on experience administering Grafana in large-scale enterprise environments.
• Strong experience with Terraform and Infrastructure as Code practices.
• Experience implementing monitoring, alerting, logging, and distributed tracing solutions.
• Experience with OpenTelemetry concepts, instrumentation, and telemetry pipelines.
• Strong Linux and cloud platform administration skills.
• Experience with scripting and automation using Python, PowerShell, Bash, or similar languages.
• Knowledge of operational excellence, reliability engineering, and incident management practices.

Preferred Qualifications

• Experience migrating from tools such as Splunk, Dynatrace, AppDynamics, New Relic, OpenText OBM, or similar platforms.
• Experience with Grafana Alloy, Tempo, Loki, Mimir, or Prometheus.
• Experience operating observability platforms in AWS environments.
• Knowledge of Kubernetes, containers, and cloud-native observability.
• Experience designing enterprise observability strategies and governance models.
• Familiarity with CI/CD platforms and DevOps practices.

Desired Skills

• Grafana Administration
• Terraform
• OpenTelemetry (OTEL)
• Monitoring & Alerting
• Observability Engineering
• Platform Engineering
• Linux Administration
• AWS Cloud Services
• Automation & Scripting
• Incident Management
• Infrastructure as Code
• Telemetry Pipelines
• Reliability Engineering
• Root Cause Analysis
• Enterprise Monitoring Architecture