SRE Architect with Google Cloud Platform

Strong Site Reliability Engineering experience supporting highly available, production-scale systems.

Strong hands-on Google Cloud Platform (Google Cloud Platform) experience.

Deep understanding and practical application of SLIs, SLOs, error budgets, operability, and reliability engineering principles.

Strong experience with observability and instrumentation, including metrics, logging, tracing, alerting, and production diagnostics.

Experience with production troubleshooting, incident response, root-cause analysis, and operational readiness.

Experience with Terraform or another Infrastructure as Code technology.

Experience developing and improving CI/CD pipelines and deployment practices.

Proficiency with Python, Bash, or another scripting/automation language.

Ability to identify systemic reliability issues and drive engineering solutions rather than primarily responding to operational incidents.

Strong technical leadership, collaboration, and communication skills across application, platform, and engineering teams.

Preferred Qualifications

Experience supporting Kubernetes and GKE workloads in production.

Experience with GitHub Actions.

Experience with Google Cloud Platform Cloud Monitoring, OpenTelemetry, Prometheus, or Grafana.

Experience with Istio or another service mesh.

Experience with Apigee or another API gateway.

Experience implementing canary, blue/green, or progressive delivery strategies.

Experience improving engineering automation and automated testing practices.

This is a hands-on technical leadership role with the opportunity to become a key technical authority for SRE practices across the organization.

Google Cloud Platform: Must show meaningful production Google Cloud Platform experience, not just certification or a skills-list mention.

SRE evidence: Look for actual examples of SLI/SLO, error budgets, reliability improvements, incident management, reducing MTTR/toil. SRE in the job title is insufficient.

Observability: Prefer statements like instrumented application/services, designed telemetry, implemented metrics/logs/traces, built SLO-based alerting. Be cautious when resumes only list Datadog, Dynatrace, Grafana, Splunk, etc.