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Position Overview
Our BI team runs a set of GCP-based APIs and data services that a lot of internal products depend on. As we've grown, keeping things running has increasingly been a side responsibility for engineers who are primarily building features — and that's not sustainable. We're looking for an SRE to own that space: service health, incident response, infrastructure monitoring, and making sure we're not blindly burning cloud budget.
Responsibilities
- 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
Qualifications
- 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
Preferred Skills
- 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
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