Scale is seeking a Developer Productivity Engineer to enhance the developer experience. The successful candidate will design and develop automation frameworks and workflows for Scale's developer community.
The role involves:
Working with technically sophisticated engineers.
Solving problems for fellow engineers.
Utilizing metrics to prioritize tasks.
Providing self-service tools and procedures.
Maintaining infrastructure for artifact publishing.
Balancing conflicting objectives with stakeholders.
Requirements include:
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, CloudFormation, 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, CircleCI 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
Scale AI accelerates the development of AI applications across industries. The company's products power advanced language models, generative models, and computer vision models. Scale AI serves generative AI companies, government agencies, and enterprises, assisting organizations in building and deploying AI. Committed to inclusivity and equal opportunity, Scale AI fosters professional growth, offering opportunities to contribute to cutting-edge AI projects and collaborate with experts in the field.