Enterprise GenAI Infra Engineer — Multi-Cloud Scale

Frontdoor Defense; New York (NY); Hybrid; USD 179,000 - 224,000; Full time

Benefits offered by this job

Health, dental, vision coverage

Retirement benefits

Learning and development stipend

Generous PTO

Commuter stipend

Job summary

Scale is seeking an Infrastructure Software Engineer to architect and scale multi-cloud infrastructure for its Enterprise GenAI platform across customers and regulators. You will build distributed systems across AWS, Azure, and GCP to support a fast-paced, highly regulated environment.

The role requires 4+ years of engineering experience, fluency in Python or JavaScript/TypeScript and SQL, and hands-on Kubernetes and cloud experience.

Qualifications

• 4+ years of full-time engineering experience after graduation.
• Experience scaling products at hyper growth startups.
• Experience with LLMs, vector databases and AI tech trends.
• Proficient in Python or JavaScript/TypeScript and SQL.
• Experience with Kubernetes and major cloud providers (AWS/Azure/GCP).
• Ability to explain complex concepts to varied audiences.

Responsibilities

• Architect multi-cloud systems to run Scale's GenAI platform on top of cloud providers.
• Implement integrations between the platform and customer data environments.
• Collaborate with platform, product teams and customers to scale infrastructure.
• Deliver experiments quickly with high quality to engage customers.
• Work across the full product lifecycle from concept to production.

Skills

Python

JavaScript/TypeScript

SQL

Kubernetes

AWS

Azure

GCP

LLMs

Vector databases

Job description

Infrastructure Software Engineer, Enterprise GenAI

Architect and scale multi-cloud infrastructure for Scale GP platform across cloud providers

Location: San Francisco, CaliforniaNew York, New York

Compensation: $179,400 - 224,250 USD / year

About The Role

Infrastructure Software Engineer, Enterprise GenAI

San Francisco, CA; New York, NY

Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our core infrastructure in a fast-paced environment.

The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail.

What You'll Do:

• Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers
• Implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs)
• Collaborate with platform, product teams and our customers directly to develop and implement innovative infrastructure that scales to meet evolving needs.
• Deliver experiments at a high velocity and level of quality to engage our customers
• Work across the entire product lifecycle from conceptualization through production
• Be able, and willing, to multi-task and learn new technologies quickly

What We're Looking For:

• 4+ years of full-time engineering experience, post-graduation
• Experience scaling products at hyper growth startups
• Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
• Proficient in Python or Javascript/Typescript, and SQL
• Experience with Kubernetes
• Experience with major cloud providers (AWS, Azure, GCP)
• Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences

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 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.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$179,400 - $224,250 USD

Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

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 [e-mail]. 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.