Platform Engineer - AI Systems & Cloud Infrastructure

Scale AI; San Francisco, New York (CA, NY); On-site; USD 216,000 - 270,000; Full time

Benefits offered by this job

Health insurance

Dental & Vision

Retirement benefits

Learning stipend

Generous PTO

Commuter stipend

Job summary

Scale AI is building foundational data platforms and cloud infrastructure to power next-generation AI systems. The Platform Engineering team designs architecture, develops shared platforms, and streamlines how engineers build, test, and deploy software at Scale.

You’ll gain exposure to AI race dynamics across industries and governments. The role emphasizes ownership of backend systems, distributed cloud platforms (AWS), and modern deployment tooling, with collaboration across cross-functional

Qualifications

• 3+ years of full-time engineering experience, post-graduation with specialities in back-end systems.
• Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).
• Show a track record of independent ownership of successful engineering projects.
• Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.
• Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc.
• Experience with orchestration platforms, such as Temporal and AWS Step Functions.
• Experience with NoSQL document databases (MongoDB) and structured databases (Postgres).
• Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI).

Responsibilities

• Drive the design, and implementation of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements.
• Collaborating with cross-functional teams to define, design, and deliver new features.
• Proactively identifying opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades.
• Presenting technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.

Skills

Backend systems

Distributed systems

Cloud platforms (AWS)

Containerization (Kubernetes)

Terraform

Docker

Temporal

AWS Step Functions

MongoDB

PostgreSQL

CI/CD (CircleCI)

Communication skills

Independent ownership

Tools

Kubernetes

Terraform

Docker

CircleCI

Temporal

AWS Step Functions

MongoDB

PostgreSQL

Snowflake

Firebolt

Dagster

dbt

Zanzibar

Authz

Job description

Scale AI is building foundational data platforms and cloud infrastructure to power next-generation AI systems. The Platform Engineering team designs architecture, develops shared platforms, and streamlines how engineers build, test, and deploy software at Scale.

You’ll gain exposure to AI race dynamics across industries and governments. The role emphasizes ownership of backend systems, distributed cloud platforms (AWS), and modern deployment tooling, with collaboration across cross-functional