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Developer Productivity Engineer

Scale AIOnsite

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 ActionsProficiency 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.

Compensation packages at Scale 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 Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant.

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. Additionally, this role may be eligible for additional benefits such as a commuter stipend.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 - $224,000USD

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 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. 

PLEASE NOTE:

We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our
privacy policy for additional information.

Life at Scale AI

Scale accelerates the development of AI applications by helping computer vision teams generate high-quality ground truth data. Our advanced LiDAR, video, and image annotation APIs allow self-driving, drone, and robotics teams at companies like Waymo, OpenAI, Lyft, Zoox, Pinterest, and Airbnb focus on building differentiated models vs. labeling data. Our APIs include: ? Sensor Fusion - the first solution in the market to provide annotation for LiDAR/RADAR/Camera data ? Semantic Segmentation ? 2D Boxes/Polygons ? Video ? 3D Cuboids ? Lines & Splines ? Keypoints ? Data categorization
Thrive Here & What We Value1. Dynamic, fast-growing company in cutting-edge technology projects (AI, machine learning, language model space)2. Affirmative Action Employer and Inclusive Equal Opportunity Workplace3. Celebrating diversity and creating an environment where everyone can bring their whole selves to work4. Providing reasonable accommodations for applicants with physical and mental disabilities, fair hiring process5. Compliance with laws regarding personal data collection and use6. Comprerancial benefits package (health, dental, vision coverage, retirement benefits, learning stipend, PTO, commuter stipend)7. Trusted by industry-leading businesses (OpenAI, Lyft, Meta, GM, Samsung, Airbnb, Microsoft, NVIDIA)8. Commitment to making a difference in the world through AI innovation and continuous improvement9. Collaborative future powered by artificial intelligence
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