Software Development Engineer II, AWS SageMaker AI
Tasks
- Build extend compute backend integrations and job launchers
- Contribute to SDK workflow orchestration and schema contract layer
- Deploy platform using infrastructure as code
- Design build test and operate workflow orchestration services
- Improve resiliency and operability checkpoint resume fault detection recovery retries observability
- Integrate containerized training and evaluation frameworks into platform tasks and recipes
- Own components end to end delivery monitoring on call
- Participate in technical design discussions and code reviews
- Submit monitor and recover large scale training jobs
- Translate training requirements into reliable platform capabilities
Perks/Benefits
Skills/Tech-stack
AWS | AWS Batch | AWS CDK | AWS Step Functions | Airflow | Amazon EMR | Amazon SageMaker | Build Automation | C# | C++ | Checkpointing | CloudFormation | Code review | Containerization | DeepSpeed | Distributed Systems | EKS | Event Driven | Event-driven architecture | Experiment tracking | FSDP | Fault Tolerance | Fault detection | Fault detection and recovery | Infrastructure as Code | Java | Kubernetes | Logging | Megatron-LM | Metrics | NEMO | Object-Oriented | Object-oriented design | Observability | PyTorch | Python | Ray | Retries | SageMaker HyperPod | SageMaker Processing | SageMaker Training | Service Oriented | Service-Oriented Architecture | Slurm | Source Control | Step Functions | Testing | VeRL | Workflow Orchestration | “as-code”
Education
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