SRE Observability SLO Engineer

GE Vernova

SRE Observability and SLO Engineer building telemetry, dashboards, alerts, and synthetic monitoring for GE Vernova’s GridOS energy-management platform. Improving reliability across customer environments.

Posted 8/4/2026full-timeMexico City • 🇲🇽 MexicoJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining observability frameworks, including metrics, logs, and distributed traces, while ensuring system reliability through effective SLO and SLA management. Proficient in utilizing major observability platforms and Kubernetes for comprehensive monitoring and alerting.

Highest-signal resume keywords

SRE ExperienceKubernetes ObservabilityPromQL ProficiencyObservability Platform ExperiencePython Scripting Skills

ATS Keywords

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Hard Skills

SREObservability EngineeringMetrics CollectionDistributed TracingPromQLPythonBash ScriptingLinux AdministrationAWS Cloud InfrastructureKubernetes

Soft Skills

Fluent in English

Tools & Technologies

DatadogGrafanaPrometheusAWS CloudWatchDynatraceNew RelicAnsibleChefPuppetRancher

Certifications & Qualifications

Bachelor's Degree in Computer Science

Industry Keywords

TelemetrySLOSLAMTTDMTTRFinOpsSynthetic MonitoringAlertingOperational DashboardsIncident Detection

Tech Stack

Tools & technologies

AnsibleAWSChefCloudEC2GrafanaKubernetesLinuxNode.jsPrometheusPuppetPythonSplunk

About the role

Key responsibilities & impact

Build and own the full telemetry stack for GridOS SaaS reliability
Implement organization-wide standards for metrics, logs, and distributed traces
Implement Kubernetes metrics collection across pod, namespace, and cluster levels
Define data retention policies, cardinality budgets, and telemetry cost controls
Publish and maintain observability runbooks
Define SLIs and SLOs with engineering, SRE, and customer stakeholders
Build error-budget alerts, burn-rate dashboards, and automated SLO compliance reports
Govern monthly SLO reviews and drive reliability-work prioritization
Translate SLOs into customer-facing SLAs
Design operational dashboards for availability, latency, error rates, and saturation
Implement noise-reduced alerting, routing, escalation policies, and on-call schedules
Create executive dashboards and customer-facing uptime reports
Design synthetic monitoring for critical user journeys
Build synthetic checks for APIs, UI flows, and integration endpoints
Integrate synthetic monitoring into incident detection
Expand observability coverage, 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 of experience 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 PromQL, Splunk SPL, Datadog Query Language, or CloudWatch Logs Insights query syntax
Experience configuring monitoring alerts for system-health visibility
Python and/or Bash scripting skills
Knowledge of AWS cloud infrastructure, including EKS, RDS, MSK, S3, EC2, EBS, and SQS
Knowledge of Kubernetes and Rancher
Experience with Ansible, Chef, or Puppet
Linux administration skills
Bachelor's degree in Computer Science

Benefits

Comp & perks

Relocation assistance provided
Full-time employment