- Experience
- 4+ years
- Pay
- $180K – $300K per year
- Education
- Not specified
- Location
- San Mateo, CA, USA
- Work mode
- Hybrid
- Job type
- Full-time
About this role
DatologyAI builds automated data curation tools that optimize GenAI training data at petabyte scale to improve model performance and reduce costs. The Infrastructure Engineer designs and builds the platforms powering reliable secure multi-cloud data and ML infrastructure.
What you will do
- Design and build development and production platforms enabling reliability and security at scale
- Architect, build and deploy core infrastructure supporting multiple cloud providers and deployment models
- Improve productivity by providing tooling and systems for engineers
- Partner with researchers and engineers to bring new features and research to customers
What the employer expects
- At least 4 years relevant experience
- Meaningful experience spearheading large-scale infrastructure
- Proficiency in Bash, Kubernetes, Python and/or Terraform
- Experience with AWS, other clouds or on-prem
- Expertise debugging across the stack including networking, performance, hardware or memory issues
- Ability to own problems end-to-end and acquire missing knowledge
- Experience building data or ML infrastructure from scratch preferred
Benefits
- 100% covered health benefits (medical, vision, dental)
- 401(k) with 4% company match
- Unlimited PTO
- 12 weeks paid parental leave plus 6 months WFH flexibility
- $2,000 annual wellness stipend
- $1,000 annual learning stipend
- Daily lunches and snacks
- Relocation assistance
Skills
- Bash
- Kubernetes
- Python
- Terraform
- AWS
- Azure
- GCP
Apply on the employer's site
The application opens on Simplify. Dev Portal Notes does not collect your application or charge a fee.
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