Software Engineer/Senior Software Engineer, Data & ML Platform
Tasks
- Automate bare-metal provisioning
- Build GitOps delivery for platform services
- Build reusable distributed batch workflows
- Contribute to continuous improvement
- Develop multi tenant platform scheduling
- Ensure quality management system compliance
- Handle node lifecycle and upgrades
- Implement reliable networking and storage
- Implement resource isolation and access control
- Improve CPU and GPU utilization
- Improve GPU container runtime
- Manage highly available control planes
- Manage secrets and observability
- Operate Kubernetes clusters end to end
- Process data with Apache Spark
- Run GPU replay and simulation workloads
- Troubleshoot Kubernetes infrastructure
- Use Argo CD for GitOps delivery
- Use Helm for application packaging
- Use Kustomize for Kubernetes configuration
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | Apache Iceberg | Apache Spark | Argo CD | Argo Workflows | Autoscaling | Data Processing | Delta Lake | Distributed data | Distributed data processing | GPU | GitOps | Helm | Infrastructure as Code | Kubeflow | Kubernetes | Kubernetes Upgrades | Kustomize | Multi-tenancy | Networking | Observability | Ray | Resource Isolation | Scheduling | Storage | “as-code”
Education
Regions
Countries
States
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