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Software Engineer, Cloud Infrastructure

DatologyAI ·San Mateo HQ ·Hybrid 101d ago
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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$180k–300k
Hybrid San Mateo HQSan Mateo, United States
Posted 101d ago
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About the company
DatologyAI
http://www.datologyai.com

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.

View company page →