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Software Engineer, Cloud Infrastructure
AWSKubernetesTerraformPulumiBashPythonGoInfrastructure as Code
About the role
We are looking for an experienced Cloud Infrastructure Engineer to lead the design, build, and operation of highly available, secure, and scalable cloud infrastructure powering our training, inference, and data curation pipelines. You will work closely with engineering, research, and product teams to define deployment and compute resource management across AWS and other cloud providers. This is a key early hire with deep technical and cultural impact.
Requirements
4+ years experience, leadership in building robust infrastructure at startups, deep AWS experience, strong Kubernetes and Terraform skills, systems-level debugging, scripting in Bash/Python/Go, security and scalability focus, collaborative and ownership mindset. Nice-to-have: ML infrastructure, large-scale datasets, cost optimization, compliance.
About the company
DatologyAI
Datology AI is a data curation platform that leverages cutting-edge research to optimize training data for AI models. They enable companies to train higher-performing models faster, more efficiently, and at a reduced cost by automatically identifying and prioritizing the most valuable data points.
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