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 at Scale.
You 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 GoExperience with cloud platforms such as AWS, GCP, or AzureFamiliarity with containerization technologies such as Docker and KubernetesUnderstanding of infrastructure-as-code tools such as Terraform, CloudFormation, and AnsibleKnowledge of build systems such as Bazel, Gradle, Maven or MakeExperience with version control systems such as GitFamiliarity with continuous integration and deployment tools such as Jenkins, CircleCI or Github ActionsProficiency in database technologies such as MySQL, Postgres, or MongoDBFamiliarity with monitoring and logging tools such as Prometheus, Grafana, or ELK stackExperience with Agile methodologies and project management tools such as JIRA or AsanaWhat 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.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:
$179,200 — $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 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.
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