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SRE Observability SLO Engineer
GE Vernova. Implement organization-wide telemetry standards covering metrics, logs, and distributed traces across GridOS SaaS services .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in implementing telemetry standards and observability practices across SaaS services, with a strong focus on metrics collection, alerting, and dashboard creation. Proficient in leveraging observability tools and scripting for automation and monitoring in cloud environments.
Highest-signal resume keywords
SRE ExperienceKubernetes ObservabilityObservability Tools ProficiencyScripting Skills in Python and BashCloud Infrastructure Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Telemetry Standards ImplementationMetrics CollectionDistributed Systems TelemetryQuery/Visualization LanguagesMonitoring Alerts ConfigurationLinux AdministrationSynthetic MonitoringData Retention PoliciesSLO ToolingIncident Detection Pipeline Integration
Soft Skills
CollaborationCommunicationPrioritization
Tools & Technologies
DatadogGrafanaPrometheusAWS CloudWatchDynatraceNew RelicAnsibleChefPuppetKubernetes
Industry Keywords
Observability EngineeringInfrastructure ReliabilitySLOs and SLIsCloud InfrastructureFinOps Validation
Tech Stack
Tools & technologiesAnsibleAWSAzureChefCloudDistributed SystemsEC2GrafanaGroovyKubernetesLinuxNode.jsPrometheusPuppetPythonSplunkGo
About the role
Key responsibilities & impact- Implement organization-wide telemetry standards covering metrics, logs, and distributed traces across GridOS SaaS services
- Implement metrics collection for Kubernetes-hosted services, including pod-, namespace-, and cluster-level metrics
- Define and implement data retention policies, cardinality budgets, and telemetry cost controls
- Publish and maintain an Observability Runbook library
- Partner with engineering, Platform SRE, and customer stakeholders to define SLIs and SLOs
- Build and maintain SLO tooling, including burn-rate alerts, dashboards, and compliance reports
- Facilitate monthly SLO reviews and drive prioritization of reliability work
- Translate SLOs into customer-facing SLAs
- Design and build Golden Signals dashboards for GridOS SaaS products
- Implement noise-reduced alert policies, routing, escalation policies, and on-call schedules
- Create executive-level dashboards and customer-facing uptime reports
- Design and implement synthetic monitoring for critical user journeys
- Build synthetic checks for API health, UI flows, and integration endpoints
- Integrate synthetic monitors into the incident detection pipeline
- Expand observability coverage for new features, tune alert signal-to-noise, and retire stale monitors
- Conduct observability health reviews to reduce MTTD and improve MTTR
- Collaborate with Production DevOps on FinOps validation by correlating cost, performance, and reliability data
Requirements
What you’ll need- 2–3 years in SRE, observability engineering, or infrastructure reliability roles
- Fluent in English
- Experience with at least one major observability platform — Datadog, Grafana + Prometheus, AWS CloudWatch, Dynatrace, or New Relic
- Understanding of distributed systems telemetry, including metrics, structured logging, and distributed tracing
- Experience with Kubernetes observability, including kube-state-metrics, node exporters, Helm-deployed monitoring stacks, and namespace-level resource metrics
- Proficiency in at least one query/visualization language: PromQL, Splunk SPL, Datadog Query Language, or CloudWatch Logs Insights query syntax
- Experience enabling monitoring alerts to provide visibility to system health
- Scripting skills in Python and/or Bash for automation of monitoring configuration and report generation
- Knowledge of AWS cloud infrastructure, including EKS, RDS, MSK, S3, EC2, EBS, and SQS
- Knowledge of Kubernetes, including EKS and Rancher
- Experience with Ansible, Chef, or Puppet
- Knowledge of observability tools such as Datadog, Splunk, and New Relic
- Knowledge of AWS and Azure alerting and notification
- Scripting knowledge in Go, Python, Groovy, or Bash
- Linux administration skills
- Bachelor's Degree in Computer Science
Benefits
Comp & perks- Hybrid work arrangement
- Relocation assistance provided