Staff Infrastructure Software Engineer, Enterprise AI

Scale AI · New York, NY; San Francisco, CA · Applications Platform Engineering · listed August 20, 2025

The shape of it

Seniority
Staff
Experience asked
5+ years
Where
Not stated
Stated pay
$216,200 – $270,250 USD
Requirements listed
3
Length
847 words

In the posting’s own words

The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail.

What it asks for · 3

  • Proven experience in a senior role, with 5+ years of full-time software engineering experience.
  • Extensive experience with at least one major cloud provider (AWS, Azure, or GCP).
  • Proficiency in Python or JavaScript/TypeScript, and SQL.

What the job covers

  • 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.

Tools and skills named

Cloud & infra
  • AWS2×
  • Azure2×
  • CI/CD2×
  • GCP2×
  • Observability2×
  • Datadog
  • Grafana
  • Kubernetes
  • Prometheus
  • Terraform
Languages
  • JavaScript
  • Python
  • SQL
  • TypeScript
Security & compliance
  • Security2×
Models & research
  • LLM
Product & design
  • Roadmap
Ways of working
  • Mentorship

Words the posting leans on

  • infrastructure6×
  • platform5×
  • data4×
  • experience4×
  • e.g3×
  • efficiency3×
  • engineering3×
  • enterprise3×
  • focus3×
  • systems3×
  • agentic2×
  • architect2×
  • aws2×
  • azure2×
  • building2×
  • ci/cd2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 25, 2026 and last changed by Scale AI on August 13, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.