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Cloud Infrastructure Engineer, GenAI Platform

Scale AI

Scale AI

Other Engineering
San Francisco, CA, USA · New York, NY, USA
Posted on Wednesday, May 15, 2024

The Scale Generative AI Platform (SGP) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are seeking an experienced engineer to join our team and play a pivotal role in building pipelines and infrastructure to help deploy our software in a maintainable and efficient way.

The ideal candidate will possess a deep understanding of cloud technologies, specifically Terraform, Kubernetes, and cloud infrastructure deployment practices. You will be responsible for establishing a robust multi-cloud deployment infrastructure, with a focus on AWS and a preference for experience with Azure and GCP. Those applying for this position will be heavily involved in software distribution, pipeline building, version control, and maintenance. While this role will not directly be involved with core feature work and product development, engineers in this role will work closely with product engineers to ensure our software fits our distribution models.

You will:

  • Drive the architecture, design, implementation and support of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements.
  • Design and implement cloud infrastructure using Terraform
  • Work directly with customers to deploy infrastructure into their cloud environments
  • Set up a multi-cloud deployment infrastructure to facilitate the shipment of services into diverse customer environments.
  • 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. in multiple clouds.
  • Strong experience with orchestration platforms, such as Temporal and AWS Step Functions.

Ideally you’d have:

  • 4+ years of full-time engineering experience post-graduation.
  • Extensive experience in software development and a deep understanding of distributed systems, cloud platforms, and software development best practices.
  • Proven experience scaling products, particularly in hyper-growth startup environments.
  • Proficiency in Python and Terraform.
  • In-depth experience with Kubernetes for container orchestration.
  • Familiarity with major cloud providers, especially AWS, with a preference for exposure to Azure and GCP.

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, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director 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.

The base salary range for this full-time position in the location of San Francisco is:
$160,000$225,600 USD

About Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. 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 affirmative action employer and 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 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.

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