Site Reliability Engineer, K8s

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• Monitor and maintain uptime of GCP-hosted APIs and services, keeping performance within agreed targets
• Lead incident response for BI platform services — triage, resolve, and follow up with post-mortems that actually prevent recurrence
• Build and manage observability infrastructure: dashboards, alerts, and logging across GCP services
• Track GCP cloud spend and set up cost alerting to flag anomalies before they become problems
• Review and fix security gaps — IAP configs, service account permissions, API access controls
• Work with data and backend engineers to shore up reliability of data pipelines and BigQuery workflows
• Contribute to infrastructure-as-code and help keep deployments documented and reproducible
• 2+ years in a Site Reliability, DevOps, or Cloud Infrastructure role in a production environment
• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent hands-on experience
• Practical experience with GCP — Cloud Run, API Gateway, and BigQuery in particular
• Experience with monitoring and observability tooling (Cloud Monitoring, Datadog, or similar)
• Solid grasp of cloud security fundamentals — IAM, network controls, access management
• Proficiency with Git and version control in a team setting
• CI/CD pipelines and deployment automation (GitHub Actions, Cloud Build, or similar)
• Terraform or other infrastructure-as-code tools
• Python for scripting or automation
• MySQL, Spanner, or BigQuery at any meaningful depth
• GCP cost management and spend optimization
• Experience with dbt or Looker
• Comfortable working across CET/EST hours in a distributed team