Principal Platform Engineer
Tasks
- Architect production ML platform infrastructure
- Build CI CD pipelines for model training testing and deployment
- Collaborate with data ML backend and frontend engineers
- Deploy tools for teams to monitor workloads
- Design deploy and maintain elastic cloud infrastructure
- Ensure compliance with security standards like SOC
- Implement observability for model drift accuracy latency and performance
- Manage Kubernetes for ML workloads
- Manage data and prediction monitoring metrics
- Monitor system health latency and uptime
- Participate in on-call rotation
Perks/Benefits
Skills/Tech-stack
API Gateway | Apache Airflow | ArgoCD | Atlantis | Auth0 | BigQuery | ClickHouse | Cloud SQL | Cloud platform | Dex | ESO | Elasticsearch | GCP VPC | GCP VPC Service Controls | GKE | GitHub Actions | GitOps | Google Cloud | Google Cloud Platform | Helm | IAM | Istio | Jenkins | Kong API | Kong API Gateway | Kubernetes | Kustomize | MLflow | MTLS | NVIDIA Triton | Organization Policies | PostgreSQL | SOPs | Service Controls | Service Mesh | Terraform | VLLM | VPC Service Controls
Education
N/A
Roles
Engineer | Platform | Platform Engineer | Principal | Principal Platform Engineer
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