Platform Engineer: AI-Scale Cloud Infra

Scale AI

San Francisco (CA)

On-site

USD 180,000 - 225,000

Full time

3 hours ago
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Benefits offered by this job

Health, dental and vision coverage
Retirement benefits
Learning and development stipend
Generous PTO
Equity-based compensation
Commuter stipend

Job summary

Scale AI is seeking a Platform Engineer to design and build foundational data platforms and orchestrate Scale’s core cloud infrastructure. You will work with cross-functional teams to refine requirements, deliver new features, and improve engineering practices.

The role exposes you to leading AI initiatives across enterprises and startups. Ideally you have 3+ years in backend systems, strong cloud experience (AWS), and hands-on with Kubernetes, Terraform, Docker, Temporal, and NoSQL/SQL

Qualifications

  • 3+ years of full-time backend engineering.
  • Experience with distributed systems and AWS.
  • Independent ownership of engineering projects.
  • Strong communication and collaboration with non-technical stakeholders.
  • Experience with Kubernetes, Terraform, Docker.
  • Experience with Temporal and AWS Step Functions.
  • Experience with MongoDB and Postgres.
  • CI/CD tooling with CircleCI.

Responsibilities

  • Design and implement foundational platform systems, collaborating with stakeholders to refine requirements.
  • Work with cross-functional teams to define, design, and deliver new features.
  • Identify opportunities to improve engineering processes and tooling upgrades.
  • Present technical information to teams and stakeholders and provide guidance on development practices.

Job description

Scale AI is seeking a Platform Engineer to design and build foundational data platforms and orchestrate Scale’s core cloud infrastructure. You will work with cross-functional teams to refine requirements, deliver new features, and improve engineering practices.

The role exposes you to leading AI initiatives across enterprises and startups. Ideally you have 3+ years in backend systems, strong cloud experience (AWS), and hands-on with Kubernetes, Terraform, Docker, Temporal, and NoSQL/SQL

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