# Software Engineer, Platform

**Company:** [Scale AI](https://hotfix.jobs/companies/scale-ai)
**Location:** San Francisco, CA, New York, NY
**Role:** Backend Engineering
**Salary:** $180k – $225k/yr
**Experience:** 3+ years
**Skills:** Backend Systems, Distributed Systems, AWS, Kubernetes, Terraform, Docker, Temporal, aws step functions, MongoDB, Postgres, CircleCI
**Posted:** 2026-07-16

> Build foundational data platforms, cloud infrastructure, and orchestration systems that power Scale's Generative AI Data Engine and RLHF products for leading LLMs. Requires 3+ years backend engineering experience with distributed systems, Kubernetes, Terraform, and databases.

## Job Description

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

## Requirements
- 3+ years of full-time engineering experience post-graduation with specialties in back-end systems.
- Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).
- Track record of independent ownership of successful engineering projects.
- 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).

## Nice-to-Haves
- Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt).
- Experience with authentication/authorization systems (Zanzibar, Authz, etc.).
- Experience scaling products at hyper-growth startups.
- Excitement to work with AI technologies.

## Compensation and Benefits
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The base salary range for this full-time position in San Francisco is $180,000–$225,000 USD. Employees in eligible roles are granted equity. Benefits include comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and potentially a commuter stipend.

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**Apply:** https://hotfix.jobs/jobs/597ece11-028f-481b-9978-3e88fece7fdf
**Canonical:** https://hotfix.jobs/jobs/597ece11-028f-481b-9978-3e88fece7fdf