Senior Infrastructure Software Engineer, Enterprise AI

Scale AI
New York, San Francisco
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 5+ yearsSkills: ["Communication","Leadership","Problem-solving","Collaboration","Strategic thinking"]

Senior Infrastructure Software Engineer at Scale AI, shaping multi-cloud, secure, and scalable infrastructure for enterprise AI workflows. You’ll define architectural patterns across GCP/AWS/Azure, lead the infrastructure roadmap with strong compliance and security focus, own observability platforms, promote IaC and tooling, and tackle multi-tenancy and data isolation challenges at scale.

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FursaFursa
Scale AI
Scale AI
1 year ago

Senior Infrastructure Software Engineer, Enterprise AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Senior Infrastructure Software Engineer at Scale AI, shaping multi-cloud, secure, and scalable infrastructure for enterprise AI workflows. You’ll define architectural patterns across GCP/AWS/Azure, lead the infrastructure roadmap with strong compliance and security focus, own observability platforms, promote IaC and tooling, and tackle multi-tenancy and data isolation challenges at scale.
Location: New York, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Define the architectural patterns for our multi-cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers.
  • •Lead the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, including designing change management and data isolation strategies.
  • •Own the development and maintenance of our Agentic observability platform (logging, metrics, tracing, and analytics) to proactively ensure system health and enable rapid incident response.
  • •Drive developer efficiency by building automated tooling and championing Infrastructure-as-Code (IaC) paradigms throughout the engineering organization.
  • •Solve the toughest engineering problems related to multi-tenancy, data isolation, and high-performance inference at a massive scale, taking end-to-end ownership across the full product lifecycle.

Pay and Benefits

Perks:Health InsuranceDentalVisionRetirement BenefitsLearning StipendPaid LeaveCommuter Benefits

Key Requirements

  • •5+ years of full-time software engineering experience in a senior role (as stated)
Experience:5+ yearsEnterprise softwareCloud infrastructureAI/ML infra
Skills:CommunicationLeadershipProblem-solvingCollaborationStrategic thinking
Languages:English
Tech Stack:TerraformHelm ChartsKubernetesDatadogPrometheusGrafanaPythonJavaScriptTypeScriptSQLAWSAzureGCP

Company Brief

Scale AI
Provides data labeling, annotation, and infrastructure services to accelerate machine learning and AI development. Supplies high-quality training data, tooling, and APIs for customers in autonomous vehicles, mapping, robotics, and enterprise AI applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2016
WebsiteLinkedIn