Software Engineer, Cloud Infrastructure

About this role

DatologyAI seeks a Cloud Infrastructure Engineer to design and operate scalable, secure cloud systems supporting AI training and data curation pipelines. You'll architect multi-cloud infrastructure, manage Kubernetes deployments, and optimize CI/CD processes while collaborating with research and engineering teams at a well-funded AI startup.

What you'll do

• Architect and maintain multi-cloud infrastructure on AWS with focus on reliability and scalability
• Define infrastructure-as-code practices using Terraform, CloudFormation, and similar tools
• Design and manage Kubernetes systems for model training, inference, and data processing
• Build monitoring, alerting, and logging systems for high availability and observability
• Optimize CI/CD pipelines and streamline service deployments across environments
• Support large-scale ML model training and ensure infrastructure for hybrid/on-prem deployments

What they're looking for

• AWS and cloud infrastructure (4+ years)
• Kubernetes and containerization
• Terraform and infrastructure-as-code
• Systems-level debugging and networking
• Bash, Python, or Go scripting
• CI/CD pipeline optimization
• ML workload infrastructure (nice-to-have)
• Cost optimization and monitoring

Benefits

• Based in Redwood City, CA with 4 days in-office
• Early-stage opportunity with deep technical and cultural impact
• Well-funded startup ($57.5M raised) with prominent investors and advisors
• Collaborate with cutting-edge AI research team