Software Engineer, Infrastructure

DatologyAI

. Design and build development and production platforms powering DatologyAI’s products .

Posted 10/16/2026full-timeSan Mateo • California • United StatesMid-LevelSenior💰 $180,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building scalable, reliable, and secure infrastructure across multiple cloud providers. Proficient in developing data infrastructure and deploying machine learning models while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Infrastructure ArchitectureMulti-Cloud SupportBash ProficiencyKubernetes ExperiencePython Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Infrastructure DesignLarge-Scale Infrastructure ConstructionDebugging Across StackBuilding Scalable SystemsData Infrastructure DevelopmentMachine Learning InfrastructureDeployment ModelsPerformance OptimizationSecurity ImplementationTraining Infrastructure

Soft Skills

Team CollaborationProblem OwnershipHumble AttitudeEagerness to HelpWillingness to Learn

Tools & Technologies

TerraformAWSAzureGCPOn-Premises Environments

Industry Keywords

Cloud ProvidersData InfrastructureMachine LearningDeep LearningProduction Platforms

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformKubernetesPythonTerraform

About the role

Key responsibilities & impact

Design and build development and production platforms powering DatologyAI’s products
Enable reliability and security at scale
Architect, build, and deploy core infrastructure supporting multiple cloud providers and deployment models
Accelerate company productivity through excellent tooling and systems
Partner with researchers and engineers to bring new features and research capabilities to customers
Drive business-critical technical decisions and help shape product direction
Lead development of data infrastructure, including multi-cloud support, deployment models, training infrastructure, and inference infrastructure

Requirements

What you’ll need

4+ years of relevant experience
Meaningful experience spearheading and constructing large-scale infrastructure
Proficiency in Bash, Kubernetes, Python, and/or Terraform or similar technologies
Experience working with AWS, Azure or GCP, and/or on-premises environments
Expertise debugging problems across the stack, including networking issues, performance problems, hardware issues, or memory leaks
Experience building and operating scalable, reliable, secure systems
Experience building data infrastructure from, or nearly from, scratch at a fast-growing startup preferred
Experience building ML/DL infrastructure and/or data infrastructure feeding into training large ML models preferred
Humble attitude, eagerness to help colleagues, and willingness to do what it takes for team success
Ability to own problems end-to-end and acquire missing knowledge to complete the work

Benefits

Comp & perks

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
6 months of WFH flexibility
Annual $2,000 wellness stipend
Annual $1,000 learning and development stipend
Daily lunches and snacks provided in the office
Relocation assistance for employees moving to the Bay Area
Meaningful equity