Software Engineer, Platform

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. 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. Qualifications 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). 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). 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 range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job‑related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity‑based compensation, subject to Board of Directors approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Base salary range for this full‑time position in the location of San Francisco is: $216,000 — $270,000 USD. Equal Opportunity and Accommodations 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 View email address on click.appcast.io. We comply with the United States Department of Labor's Pay Transparency provision. We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. This personal data is limited to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information. #J-18808-Ljbffr Scale AI