Principal Platform Engineer
Tasks
- Architect cloud infrastructure for ML workloads
- Automate model training, testing, and deployment
- Build CI/CD pipelines for ML models
- Collaborate with data ML backend and frontend engineering
- Deploy and maintain Kubernetes platforms
- Design elastic scaling systems
- Ensure compliance with security standards such as SOC
- Implement model monitoring and drift detection
- Manage service networking and API gateways
- Operate production ML and data platforms
- Participate in on-call rotation and incident response
- Set up observability for performance and reliability
Perks/Benefits
- N/A
Skills/Tech-stack
Ansible | Apache Airflow | ArgoCD | Auth0 | BigQuery | ClickHouse | Cloud SQL | Cloud platform | Dex | Elasticsearch | GitHub Actions | GitOps | Google Cloud | Google Cloud Platform | Helm | IAM | Istio | Jenkins | Kong | Kubernetes | Kustomize | MLflow | MTLS | NVIDIA Triton | Observability | Organization Policies | PostgreSQL | SOPs | Secrets management | Service Controls | Service Mesh | Terraform | VLLM | VPC Service Controls
Education
N/A
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