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Senior Infrastructure Software Engineer, Enterprise AI

Scale AI· Applications Platform Engineering
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Hybrid (New York, NY), Hybrid (San Francisco, CA)$216.2k - $270.3kfull-timePosted 11mo ago

About the role

Senior technical lead building multi-cloud infrastructure, defining deployment standards for Agentic workflows, and delivering scalable, secure, and observable infrastructure for enterprise AI applications across AWS, Azure, and GCP.

Responsibilities

  • Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers.
  • Use our own data and AI platform to analyze build and test logs and metrics to identify areas for improvement.
  • Define the architectural patterns for our multi-cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers.
  • Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.
  • Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs.
  • Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale.
  • 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 best-in-class 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 to improve workflows and operational efficiency.

Qualifications

  • Proven experience in a senior role, with 5+ years of full-time software engineering experience.
  • Deep understanding of modern infrastructure practices, including CI/CD, IaC (e.g., Terraform, Helm Charts), container orchestration (e.g., Kubernetes) and observability platforms (e.g., Datadog, Prometheus, Grafana).
  • Extensive experience with at least one major cloud provider (AWS, Azure, or GCP).
  • Strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer-specific VPC setups.
  • Proficiency in Python or JavaScript/TypeScript, and SQL.

Skills

Required:CI/CDIaCContainer orchestrationObservabilityMulti-cloudSecurity & compliancePython/JavaScript/TypeScriptSQL

Benefits

  • comprehensive health, dental and vision coverage
  • retirement benefits
  • a learning and development stipend
  • generous PTO
  • possible commuter stipend
Last updated Sep 2, 2026. Interested? Apply on the company site.
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About Scale AI

Data-centric infrastructure to accelerate the development of AI

Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.

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