Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
GE Vernova

SRE Observability SLO Engineer

GE Vernova

. Implement organization-wide telemetry standards covering metrics, logs, and distributed traces across GridOS SaaS services .

Posted 11/11/2026full-timeMexico City • MexicoJuniorMid-LevelWebsite

Core Competencies

Role fit
Core 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 resume
Applicant 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 & technologies
AnsibleAWSAzureChefCloudDistributed 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