Developer Productivity Engineer

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 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

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.
• Developing 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.