# Senior Software Engineer, Platform

**Company:** [Scale AI](https://hotfix.jobs/companies/scale-ai)
**Location:** San Francisco, CA, New York, NY
**Role:** Backend Engineering
**Salary:** $216k – $270k/yr
**Experience:** 5+ years
**Skills:** Backend Systems, Distributed Systems, AWS, Kubernetes, Terraform, Docker, Temporal, Aws Step Functions, MongoDB, Postgres, CircleCI, Snowflake, Dagster, dbt, Authentication/Authorization
**Posted:** 2026-09-03

> Senior Software Engineer on the Platform Engineering team, designing and building shared data platforms, cloud infrastructure, orchestration systems, and developer tooling. Requires backend engineering experience, distributed systems expertise, and proficiency with cloud, containerization, databases, and CI/CD.

## Job Description

## Responsibilities
- Design and implement foundational platforms and systems in collaboration with stakeholders and internal customers.
- Collaborate with cross-functional teams to define, design, and deliver features.
- Identify and drive improvements to programming practices, processes, and engineering tools.
- Present technical information to teams and stakeholders, providing guidance on development processes and technologies.

## Requirements
- 3+ years of full-time engineering experience after graduation, specializing in backend systems.
- Extensive software development experience and a deep understanding of distributed systems and public cloud platforms, preferably AWS.
- Track record of independently owning successful engineering projects.
- Strong communication and collaboration skills, including the ability to explain complex technical concepts to non-technical stakeholders.
- Experience with containerization and deployment technologies such as Kubernetes, Terraform, and Docker.
- Experience with orchestration platforms such as Temporal and AWS Step Functions.
- Experience with NoSQL document databases such as MongoDB and structured databases such as PostgreSQL.
- Strong knowledge of software engineering best practices and CI/CD tooling such as CircleCI.

## Nice to Have
- Experience with data warehouses such as Snowflake and Firebolt.
- Experience with data pipeline and ETL tools such as Dagster and dbt.
- Experience with authentication and authorization systems such as Zanzibar and AuthZ.
- Experience scaling products at hyper-growth startups.
- Interest in AI technologies.

## Compensation and Benefits
- Base salary range: $216,000–$270,000 USD.
- Equity and benefits may be included for eligible roles.
- Benefits may include comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, generous paid time off, and potentially a commuter stipend.

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