Software Engineer, Infrastructure

DatologyAI is revolutionizing the AI industry by enabling companies to train better models through intelligent data selection. Having raised over $57M from prestigious investors and backed by notable AI pioneers like Geoff Hinton and Yann LeCun, they're at the forefront of making AI training more efficient and cost-effective.

As a Senior Infrastructure Engineer, you'll be joining a rapidly growing team in Redwood City, working 4 days a week in office. This role is crucial in building and maintaining the backbone of DatologyAI's technology stack. You'll be responsible for designing and implementing robust infrastructure solutions that support multiple cloud providers and various deployment models.

The position offers an excellent compensation package ($180K-$250K) plus equity, along with comprehensive benefits including fully covered health insurance, 401(k) with 4% match, and various stipends for wellness and professional development. This is an opportunity to work with cutting-edge AI technology while building scalable infrastructure that powers enterprise-level AI model training.

The ideal candidate will bring extensive experience in infrastructure engineering, with expertise in technologies like Kubernetes, Python, and cloud platforms. You'll need to be comfortable debugging complex systems and taking ownership of end-to-end problems. The role combines technical leadership with hands-on development, making it perfect for someone who wants to make a significant impact in the AI infrastructure space.