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

• On-call rotation

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