Software Engineer, Cloud Infrastructure
DatologyAI(25 days ago)
About this role
A Software Engineer, Cloud Infrastructure at DatologyAI is responsible for leading the design, implementation, and maintenance of a robust and scalable cloud infrastructure, primarily using AWS, to support the company’s data curation and machine learning model training processes. This role involves defining infrastructure-as-code best practices, managing Kubernetes systems, optimizing CI/CD pipelines, and collaborating with engineering and research teams to ensure efficient deployment and monitoring of resources. The position aims to enhance system reliability, security, and cost-efficiency across various deployment models.
Required Skills
- Cloud Infrastructure
- Multi-Cloud
- AWS
- Azure
- GCP
- Infrastructure-as-Code
- Terraform
- CloudFormation
- Pulumi
- Kubernetes
+16 more
About DatologyAI
www.datologyai.comDatologyAI is a data curation platform that specializes in automatically curating model training data. The company focuses on enhancing the quality of training datasets for machine learning models, aiming to accelerate the training process while improving performance and reducing associated costs. By leveraging advanced research, DatologyAI optimizes the selection and prioritization of high-value data points, thus enabling organizations to train better models more efficiently and at scale.
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