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About the Role

The Platform Engineering team at Scale supports the design and development of shared platforms used across the company. This includes designing foundational data platforms and lifecycles, architecting core cloud infrastructure and orchestration stacks, and redefining how engineers develop, build, test, and deploy software. This role offers exposure to the forefront of the AI race across various sectors.

Responsibilities

• Drive the design and implementation of foundational platforms and systems, collaborating with stakeholders and internal customers.
• Define, design, and deliver new features in collaboration with cross-functional teams.
• Proactively identify and drive improvements to current programming practices, including process enhancements and tool upgrades.
• Present technical information to teams and stakeholders, providing guidance on development processes and technologies.

Requirements

• 3+ years of full-time engineering experience, post-graduation, with specializations in back-end systems.
• Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).
• Demonstrated track record of independent ownership of successful engineering projects.
• Excellent communication and collaboration skills, with 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).

Skills

• Back-end systems
• Distributed systems
• Public cloud platforms (AWS)
• Kubernetes
• Terraform
• Docker
• Temporal
• AWS Step Functions
• MongoDB
• Postgres
• CI/CD tooling (CircleCI)
• Data warehouses (Snowflake, Firebolt)
• Data pipeline/ETL tools (Dagster, dbt)
• Authentication/authorization systems (Zanzibar, Authz)
• AI technologies

Location

• San Francisco

Work Type

• Full-time

Experience Level

• 3+ years

Salary/Compensations

• $180,000—$225,000 USD

Benefits

• Comprehensive health, dental and vision coverage
• Retirement benefits
• Learning and development stipend
• Generous PTO
• Commuter stipend (potential)

About the Company

• At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

Equal Opportunity

• We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
• We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.
• We comply with the United States Department of Labor's Pay Transparency provision.