DatologyAI
Software Engineer, Infrastructure
$180K–$300K
San Mateo HQ · Hybrid · Full-time · Posted Oct 8, 2026
- Experience
- 4+ years of relevant experience.
About the job
Build and lead scalable infrastructure for DatologyAI’s data curation products, including multi-cloud, deployment, training, and inference systems.
What you'll do
- Design and build reliable, secure development and production platforms.
- Architect and deploy core infrastructure across cloud providers and deployment models.
- Build tooling and systems for engineering teams and partner with researchers and engineers to deliver product features.
What they ask for
- Experience spearheading and constructing large-scale infrastructure.
- Proficiency in bash, Kubernetes, Python, and/or Terraform or similar technologies.
- Experience with AWS, other cloud platforms such as Azure or GCP, and/or on-prem environments.
- Expertise debugging issues across the stack, including networking, performance, hardware, or memory problems.
Nice to have
- Built data infrastructure from, or nearly from, scratch at a fast-growing startup.
- Experience building ML/DL infrastructure and/or data infrastructure for training large ML models.
Pay
$180,000 to $300,000 USD base salary
Tools
bash, Kubernetes, Python, Terraform, AWS, Azure, GCP
AI focus
Develop training and inference infrastructure and data infrastructure that supports training large ML models.
Model-written summary · the original posting is authoritative