Software Engineer - Developer

Position: Staff Software Engineer - Developer Experience
Scale is looking for an experienced Developer Productivity Engineer to help shape the developer experience. The ideal candidate is someone who can design and develop automation frameworks and efficient workflows for the developer population  will be responsible for building and maintaining automated frameworks, feature testing, code promotion, code review, and documentation, among other expectations.

What we are looking for:

• Strong proficiency in programming languages such as Python, Java, or Go

• Experience with cloud platforms such as AWS, GCP, or Azure

• Familiarity with containerization technologies such as Docker and Kubernetes

• Understanding of infrastructure-as-code tools such as Terraform, Cloud Formation, and Ansible

• Knowledge of build systems such as Bazel, Gradle, Maven or Make

• Experience with version control systems such as Git

• Familiarity with continuous integration and deployment tools such as Jenkins, Circle

CI or Github Actions

• Proficiency in database technologies such as MySQL, Postgres, or MongoDB

• Familiarity with monitoring and logging tools such as Prometheus, Grafana, or ELK stack

• Experience with Agile methodologies and project management tools such as JIRA or Asana

What you’ll do

• Work with a team of technically sophisticated engineers who make developer experience their first priority

• Solve problems for fellow Scale engineers by understanding their needs and coming up with both tactical and strategic solutions

• Utilize qualitative and quantitative metrics to prioritize tasks and evaluate outcomes

• Provide practical, dependable self-service tools and procedures to Scale's engineering team

• Develop and maintain infrastructure for artifact publishing, codegen, and import of schemas across all Scale repositories

• Balance and prioritize conflicting objectives while working with stakeholders throughout Scale

Responsibilities:

• Improve how Scale engineers develop, share, review, and merge code through best practices, automated testing, infrastructure, and processes

• Develop tooling to make it easier and safer for Scale developers to build and evolve schemas, regardless of the use case, language, or repository they work in

• Develop better tooling and metrics so that we, and our users, understand the health of our systems

• Work with developers to resolve their day-to-day issues doing development and build scalable solutions to fix or mitigate them

Compensation and benefits:
Compensation packages 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 Directors approval.

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. This role may be eligible for additional benefits such as a commuter stipend.

Note:

The base salary range for the locations of San Francisco, New York, and Seattle is $179,200 — $224,000 USD.

Please note

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.

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…