Software Engineer, Platform

Scale AI; New York, San Francisco (NY, CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Scale AI in San Francisco is seeking an experienced engineer to support the design and development of shared platforms. In this role, you will architect core cloud infrastructure and redefine software deployment practices.

The position requires strong back-end systems knowledge and extensive experience with cloud platforms, particularly AWS, alongside CI/CD tooling. This role offers a chance to work at the forefront of AI technologies, ensuring collaborative and efficient product development.

Qualifications

• 3+ years of full-time engineering experience, post-graduation.
• Experience with cloud platforms, preferably AWS.
• Strong knowledge of software engineering best practices.

Responsibilities

• Support design and development of shared platforms across Scale.
• Architect Scale’s core cloud infrastructure and orchestration stack.
• Identify opportunities for improvements in programming practices.

Skills

Back-end systems experience

Software development expertise

Distributed systems knowledge

Containerization technologies (Kubernetes, Docker)

CI/CD tooling (CircleCI)

Communication skills

Education

Bachelor's degree in Engineering or related field

Tools

AWS

MongoDB

Postgres

Job description

Requirements

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

What the job involves

• At the foundation of these products is the Platform Engineering team. In this role, you will support the design and development of shared platforms used across Scale
• This includes designing our foundational data platforms and lifecycle, architecting Scale’s core cloud infrastructure and orchestration stack, and redefining how engineers develop, build, test, and deploy software at Scale
• You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies
• 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