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

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Demonstrates expertise in implementing telemetry standards and observability practices across SaaS services, with a strong focus on metrics collection, SLO tooling, and incident detection. Proficient in leveraging observability platforms and scripting for automation to enhance system reliability and performance.

Highest-signal resume keywords

SRE ExperienceKubernetes ObservabilityObservability Platform ProficiencyScripting Skills in Python and BashBachelor's Degree in Computer Science

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Telemetry Standards ImplementationMetrics CollectionService Level IndicatorsSLO ToolingSynthetic MonitoringDistributed Systems TelemetryQuery/Visualization Language ProficiencyLinux AdministrationInfrastructure Cost Metrics CorrelationMonitoring Alerts Configuration

Soft Skills

Fluent in English

Tools & Technologies

DatadogGrafanaPrometheusAWS CloudWatchDynatraceNew RelicKubernetesAnsibleChefPuppet

Industry Keywords

Observability EngineeringInfrastructure ReliabilityCloud InfrastructureFinOps ValidationMTTDMTTR

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-level, namespace-level, and cluster-level metrics
Define and implement data retention policies, cardinality budgets, and telemetry cost controls
Publish and maintain an Observability Runbook library
Define Service Level Indicators and Service Level Objectives per product and customer tier
Build and maintain SLO tooling, including error budget burn-rate alerts, burn-rate dashboards, and automated SLO compliance reports
Facilitate monthly SLO reviews, identify reliability risks, and drive prioritization of reliability work
Translate SLOs into SLAs for customer-facing commitments
Design and build operational Golden Signals dashboards for GridOS SaaS products
Implement noise-reduced alert policies, alert routing, escalation policies, and on-call schedules
Create executive-level dashboards and customer-facing uptime/availability reports
Design and implement synthetic monitoring for critical user journeys
Build synthetic checks for API health, UI flows, and integration endpoints
Integrate synthetic monitoring 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
Correlate infrastructure cost metrics with performance and reliability data for FinOps validation

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
Decent understanding of distributed systems telemetry: metrics, structured logging, and distributed tracing
Experience with Kubernetes observability — 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
Experience with observability tools such as Datadog, Splunk, or 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

Relocation Assistance Provided: Yes