Principal Platform Engineer
Tasks
- Architect cloud infrastructure for machine learning workloads
- Automate networking and deployment workflows
- Build and maintain CI CD pipelines for model training testing and deployment
- Collaborate with data ML backend and frontend teams
- Design deploy and maintain Kubernetes based systems
- Implement model monitoring for drift accuracy latency and performance
- Participate in on call rotation and ensure compliance
- Set up observability for system health and ML metrics
Perks/Benefits
Skills/Tech-stack
Access Management | Ansible | Apache Airflow | Argo CD | Auth0 | BigQuery | CI/CD | ClickHouse | Cloud SQL | Cloud platform | Dex | Elasticsearch | GKE | GitHub Actions | Google Cloud | Google Cloud Platform | Grafana | Helm | IAM | Identity and Access Management | Identity and access | Istio | Jenkins | Kong | Kubernetes | Kustomize | Loki | MLflow | MTLS | NVIDIA Triton | Observability | Organization Policies | PostgreSQL | SOPs | Secrets management | Service Mesh | Terraform | VLLM | VPC SC
Education
N/A
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