Software Engineer, Cloud Infrastructure

Datologyai Cloud Infrastructure EngineerWe'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 OnArchitect and maintain our multi-cloud infrastructure (primarily AWS, potentially Azure/GCP), with a focus on reliability, security, and scalabilityDefine 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 workloadsOptimize our CI/CD pipelines and streamline deployment of services across environmentsBuild monitoring, alerting, and logging systems to ensure high system availability and observabilityCollaborate with research and engineering teams to provide infrastructure support for training large-scale ML modelsEnsure our infrastructure supports various deployment models (cloud, on-prem, hybrid) for enterprise use casesDrive cost-efficiency strategies across compute and storage resourcesRespond to and resolve infrastructure-related incidents with a sense of ownership and urgencyAbout You4+ years of relevant experienceYou've led or helped build robust infrastructure systems at a startup or fast-moving engineering organizationDeep experience working with cloud providers (especially AWS), and ideally exposure to multi-cloud or hybrid-cloud setupsStrong with Kubernetes, Terraform, and containerized architecturesConfident with systems-level debugging—networking issues, memory leaks, resource bottlenecks, etc.Comfortable writing clean, maintainable scripts in Bash, Python, or GoYou care deeply about building secure and scalable systems and take pride in reliable infrastructureYou're collaborative, humble, and ready to own high-impact projects end-to-endNice to HaveExperience supporting infrastructure for ML workloads (training pipelines, inference clusters, GPU orchestration)Built or scaled infrastructure for teams working with large-scale datasetsExposure to cost monitoring and optimization tools in cloud environmentsBackground supporting compliance and security in enterprise deploymentsCompensationAt 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.Benefits100% covered health benefits (medical, vision, and dental).401(k) plan with a generous 4% company match.Unlimited PTO policyPaid 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.