Site Reliability Engineer, K8s (Remote International)

In this role you will own the reliability of the BI team’s GCP-hosted APIs and data infrastructure, ensuring uptime, performance, and security. You’ll partner with backend and data engineers to improve platform resilience while monitoring cloud spend. You’ll lead incident response and drive observability across the stack to prevent outages. This is a chance to shape how a growing data platform scales responsibly and securely in a cloud-native environment.

• Monitor uptime and performance of GCP-hosted APIs and services
• Lead incident response for BI platform services and conduct post-mortems to prevent recurrence
• Build and manage observability: dashboards, alerts, logging across GCP
• Track and alert on GCP cloud spend to flag anomalies
• Review and fix security gaps (IAP configs, service account permissions, API access controls)
• Collaborate with data and backend engineers to improve reliability of data pipelines and BigQuery workflows
• Contribute to infrastructure-as-code and keep deployments documented and reproducible

• 2+ years in a Site Reliability, DevOps, or Cloud Infrastructure role in production
• 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
• 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

• team collaboration
• problem-solving
• strong communication
• CI/CD pipelines and deployment automation (GitHub Actions, Cloud Build, or similar)
• Terraform or other infrastructure-as-code tools
• Python for scripting or automation