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About the Role

Redefine how engineers develop, build, test, and deploy software at Scale using AI development tools and traditional practices. Gain widespread exposure to the forefront of the AI race across various sectors.

Responsibilities

Define next-generation AI development tooling and frameworks using products like Cursor, Claude Code, OpenAI Codex, and MS Copilot, as well as in-house custom-built solutions.
Drive the architecture, design, and implementation of our local development process, build, test, continuous integration, and continuous delivery systems, working closely with stakeholders and internal customers to understand and refine requirements.
Directly mentor software engineers ranging from new grads to experienced engineers.
Proactively identify opportunities and drive improvements to software development practices, processes, tools, and languages.
Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.

Requirements

8+ years of full-time engineering experience, post-graduation, with experience in build, test, or CI/CD systems.
Extensive experience defining and evangelizing best-practices for AI development tools, including cost guardrails, security frameworks, and hosting knowledge-sharing sessions, among others.
Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).
Experience configuring, testing, and enabling MCP servers, AI agents, and other associated systems.
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 infrastructure, containerization, and deployment technologies like Terraform, Docker, Kubernetes, etc.
Experience with modern web frameworks like NodeJS, NextJS, etc.
Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, Helm, ArgoCD).

Skills

Build systems
Test systems
CI/CD systems
AI development tools
Cost guardrails
Security frameworks
Software development
Distributed systems
Public cloud platforms
AWS
MCP servers
AI agents
Terraform
Docker
Kubernetes
NodeJS
NextJS
CircleCI
Helm
ArgoCD
Bazel
Buck
Pants

Location

San Francisco
New York
Seattle

Work Type

Full-time

Experience Level

8+ years of full-time engineering experience, post-graduation

Salary/Compensations

$252,000—$315,000 USD

Benefits

Comprehensive health, dental and vision coverage
Retirement benefits
Learning and development stipend
Generous PTO
Commuter stipend

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. 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.