Software Engineer, Platform
About the role
The Platform Engineering team at Scale is responsible for designing and developing shared platforms used across the company. This includes foundational data platforms and lifecycle, cloud infrastructure and orchestration stack, and redefining how engineers develop, build, test, and deploy software.
Responsibilities
- Drive the design, and implementation of our 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, and drive 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 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).
Qualifications
- Nice to have: 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.
Skills
- Experience 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).
Benefits
- Comprehensive health, dental and vision coverage.
- Roth IRA contribution match.
- Learning and development stipend.
- Generous PTO.
Pay
The base salary range for this full-time position in the location of San Francisco is: $216,000—$270,000 USD.
Schedule
Full-time.
Company Information
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. 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. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.