This role is based in Redwood City, CA. We are in office 4 days a week.
About the RoleWe're looking for an experienced Cloud Infrastructure Engineer to join our core team at DatologyAI. In this role, you will lead the design, build, and operation of highly available, secure, and scalable cloud infrastructure that powers our training, inference, and data curation pipelines. You'll work closely with engineering, research, and product teams to define how we deploy and manage compute resources across AWS and other cloud providers. This role is a key early hire and offers an opportunity to have a deep technical and cultural impact.
What You'll Work On- Architect and maintain our multi-cloud infrastructure (primarily AWS, potentially Azure/GCP), with a focus on reliability, security, and scalability
- Define and implement infrastructure-as-code best practices using Terraform, CloudFormation, Pulumi (and similar technologies)
- Design and manage Kubernetes-based systems for model training, inference, and data processing workloads
- Optimize our CI/CD pipelines and streamline deployment of services across environments
- Build monitoring, alerting, and logging systems to ensure high system availability and observability
- Collaborate with research and engineering teams to provide infrastructure support for training large-scale ML models
- Ensure our infrastructure supports various deployment models (cloud, on-prem, hybrid) for enterprise use cases
- Drive cost-efficiency strategies across compute and storage resources
- Respond to and resolve infrastructure-related incidents with a sense of ownership and urgency
About You- 4+ years of relevant experience
- You've led or helped build robust infrastructure systems at a startup or fast-moving engineering organization
- Deep experience working with cloud providers (especially AWS), and ideally exposure to multi-cloud or hybrid-cloud setups
- Strong with Kubernetes, Terraform, and containerized architectures
- Confident with systems-level debugging-networking issues, memory leaks, resource bottlenecks, etc.
- Comfortable writing clean, maintainable scripts in Bash, Python, or Go
- You care deeply about building secure and scalable systems and take pride in reliable infrastructure
- You're collaborative, humble, and ready to own high-impact projects end-to-end
Nice to Have- Experience supporting infrastructure for ML workloads (training pipelines, inference clusters, GPU orchestration)
- Built or scaled infrastructure for teams working with large-scale datasets
- Exposure to cost monitoring and optimization tools in cloud environments
- Background supporting compliance and security in enterprise deployments
CompensationAt DatologyAI, we are dedicated to rewarding talent with competitive salary and meaningful equity. The salary for this position ranges from $180,000 to $300,000.
- Starting pay is based on job-related skills, experience, qualifications, and interview performance.
Our benefits are built to support your well-being and growth:
- 100% covered health benefits (medical, vision, and dental).
- 401(k) plan with a generous 4% company match.
- Unlimited PTO policy
- Paid Parental Leave of 12 weeks, plus 6 months of WFH flexibility.
- Annual $2,000 wellness stipend.
- Annual $1,000 learning and development stipend.
- Daily lunches and snacks are provided in our office!
- Relocation assistance for employees moving to the Bay Area.
