3 months ago
Washington, DC, USAMid Level
H1B sponsor
Base Salary
$149k - $311k/yr
Responsibilities
- Design, develop, and maintain automated deployment pipelines for lowside and highside products.
- Adapt application code to improve compatibility and integration with automated deployment environments.
- Contribute to deployment-system architecture and design to improve efficiency and reliability.
- Troubleshoot and resolve complex deployment issues with minimal disruption to development cycles.
- Develop understanding of product and ML architectures to support seamless integration and deployment.
- Document pipeline processes and configurations for maintainability and knowledge transfer.
- Incorporate security best practices throughout the deployment pipeline and development processes.
- Drive standardization and collaboration across product teams toward a unified SDLC.
Requirements
- Active TS/SCI clearance and the ability and willingness to obtain a CI Poly are required.
- 2–3 years of experience as a DevOps Engineer, DevSecOps Engineer, CI/CD-focused Software Engineer, or similar.
- Demonstrated experience building or significantly enhancing automated deployment pipelines.
- Experience configuring and adapting application code for evolving CI/CD environments.
- Experience with containerization and deployment technologies such as Kubernetes, Terraform, and Docker.
- Familiarity with AWS, Azure, or GCP cloud platforms.
- Strong scripting and automation proficiency with Python, Bash, or PowerShell.
- Familiarity with Jenkins, GitLab CI, GitHub Actions, or Azure DevOps.
- Knowledge of software architecture, system design, and version control systems.
- Understanding of software-development security best practices and interest in integrating ML components into automated workflows.
- Strong problem-solving, analytical, collaboration, and communication skills.
- Exposure to ML lifecycles or MLOps concepts and prior classified-environment experience are preferred.
Benefits
- Full-time role with base salary, equity eligibility, comprehensive health, dental and vision coverage, retirement benefits, learning and development stipend, and generous PTO.
- The role may include a commuter stipend and is associated with listed locations including San Francisco, New York, Seattle, Hawaii, Washington DC, Texas, Colorado, and St. Louis.
- Compensation and location eligibility are determined based on work location, skills, experience, qualifications, interview performance, and education or training.
Tech Stack
AWSAzureBashDockerGitHub ActionsGitLab CI/CDGoogle Cloud PlatformJenkinsKubernetesPowerShellPythonTerraform
Categories
About Scale AI
Scale AI builds data annotation services and AI development tools for enterprises and government agencies, sold as a platform and managed services. Its products include the Scale Generative AI Platform for building and evaluating agents and the Data Engine for collecting, curating, and labeling training data, including RLHF and model evaluation. Founded in 2016 and headquartered in San Francisco, the company is privately held and works across domains from computer vision to LLM applications.