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Software Engineer, Cloud Infrastructure

DatologyAI· Engineering
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Hybrid (San Mateo HQ)$180k - $300kFull-timePosted 9mo ago

About the role

Role focused on designing, building, and operating scalable, secure multi-cloud infrastructure (primarily AWS) to support training, inference, and data curation pipelines at DatologyAI. Hybrid work arrangement based in San Mateo, CA with in-office 4 days a week.

Responsibilities

  • 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

Qualifications

  • 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

Skills

Required:Cloud platforms (AWS)KubernetesInfrastructure-as-Code (Terraform, CloudFormation, Pulumi)Scripting (Bash, Python, or Go)Systems debuggingSecurity and reliability

Benefits

  • 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
Last updated Oct 22, 2026. Interested? Apply on the company site.
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About DatologyAI

Train Better Models, Faster and Smaller

DatologyAI automatically curates model training data. Train faster, achieve better performance, and reduce costs with enterprise-grade data curation.

Data CurationData QualityModel Trainingliquid-ai-recruiting-target
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