DatologyAI
Software Engineer, Cloud Infrastructure
$180K–$300K
San Mateo HQ · Hybrid · Full-time · Posted Jan 29, 2026
- Experience
- 4+ years of relevant experience.
About the job
Designs, builds, and operates secure, reliable, scalable cloud infrastructure for DatologyAI’s model training, inference, and data curation pipelines.
What you'll do
- Architect and maintain multi-cloud infrastructure, Kubernetes systems, and infrastructure-as-code practices.
- Improve deployment pipelines, monitoring, alerting, and logging; resolve infrastructure incidents.
- Support large-scale ML workloads and enterprise cloud, on-prem, and hybrid deployments while optimizing compute and storage costs.
What they ask for
- Experience building robust infrastructure systems at a startup or fast-moving engineering organization.
- Deep experience with cloud providers, especially AWS.
- Strong with Kubernetes, Terraform, and containerized architectures.
- Systems-level debugging skills and ability to write scripts in Bash, Python, or Go.
Nice to have
- Experience supporting ML workloads or infrastructure for large-scale datasets.
- Exposure to cloud cost optimization tools or enterprise compliance and security.
Pay
$180,000 to $300,000 USD base salary
Tools
AWS, Azure, GCP, Terraform, CloudFormation, Pulumi, Kubernetes, Bash
AI focus
Provides infrastructure for model training, inference, and data curation pipelines, including support for large-scale ML workloads.
Model-written summary · the original posting is authoritative