Platform Engineer: Scalable AI Infra & Cloud Systems

Scale AI; San Francisco, New York (CA, NY); On-site; USD 140,000 - 200,000; Full time

Job summary

Scale AI in San Francisco is seeking a Platform Engineer to design and build foundational data platforms, architect Scale’s core cloud infrastructure, and streamline how engineers develop, test, and deploy software. You will collaborate with cross-functional teams to define and deliver new features, improve existing tooling, and promote best practices across the engineering organization.

The ideal candidate has 3+ years of backend engineering experience, deep knowledge of distributed systems,

Qualifications

• 3+ years of full-time backend engineering experience.
• Strong understanding of distributed systems and cloud platforms.
• Experience with containerization and modern deployment tooling.
• Ability to own projects from design to deployment and communicate with stakeholders.

Responsibilities

• Design and implement foundational platforms and data infrastructure.
• Collaborate with cross-functional teams to define features.
• Drive improvements to development processes and tooling.
• Present technical information to stakeholders and provide guidance.

Skills

Backend systems

Distributed systems

AWS

Kubernetes

Docker

CI/CD tooling

Tools

Kubernetes

Terraform

Docker

Temporal

AWS Step Functions

MongoDB

PostgreSQL

CircleCI

Job description

Scale AI in San Francisco is seeking a Platform Engineer to design and build foundational data platforms, architect Scale’s core cloud infrastructure, and streamline how engineers develop, test, and deploy software. You will collaborate with cross-functional teams to define and deliver new features, improve existing tooling, and promote best practices across the engineering organization.

The ideal candidate has 3+ years of backend engineering experience, deep knowledge of distributed systems,