DevOps Engineer, Infrastructure & Security

Stack

Responsibilities

• ▹Design, develop and maintain robust CI/CD pipelines to automate deployment of lowside and highside products
• ▹Collaborate closely with product and engineering teams to enhance application code for improved compatibility with automated pipelines
• ▹Contribute to the overall architecture and design of deployment systems, bringing new ideas for efficiency and reliability
• ▹Troubleshoot and resolve complex deployment issues, minimizing disruption to development cycles
• ▹Develop a deep understanding of product and ML architectures to enable seamless integration and deployment
• ▹Document pipeline processes and configurations for maintainability and knowledge transfer
• ▹Proactively incorporate security best practices into all stages of the CI/CD pipeline
• ▹Drive standardization and collaboration across product teams toward a unified, efficient SDLC

Requirements

• ▹Active TS/SCI clearance and the willingness to upgrade to a CI Poly — mandatory, candidates without at least a TS/SCI clearance will not be considered
• ▹2-3 years of experience as a DevOps Engineer, DevSecOps Engineer, or Software Engineer with a strong focus on CI/CD
• ▹Proven track record of building or significantly enhancing CI/CD pipelines
• ▹Experience configuring and adapting application code to integrate with evolving CI/CD environments
• ▹Fluent experience with containerization and deployment technologies such as Kubernetes, Terraform and Docker
• ▹Familiarity with cloud platforms (AWS, Azure, GCP)
• ▹Strong proficiency in scripting and automation (Python, Bash, PowerShell)
• ▹Familiarity with CI/CD platforms (Jenkins, GitLab CI, GitHub Actions, Azure DevOps)
• ▹Knowledge of software architecture, system design and version control systems
• ▹Comfort with rapidly changing, fast-paced environments and a passion for automated solutions to complex problems
• ▹Basic understanding of security best practices in software development
• ▹Strong problem-solving, analytical, collaboration and communication skills

Nice to have

• ▹Experience with containerization technologies (Docker, Kubernetes)
• ▹Exposure to machine learning lifecycles or MLOps concepts
• ▹Prior experience in classified environments

Soft skills

What we offer

• ▹Compensation includes base salary, equity and benefits
• ▹Comprehensive health, dental and vision coverage
• ▹Retirement benefits
• ▹Learning and development stipend
• ▹Generous PTO
• ▹Commuter stipend for eligible roles

About the company

Scale AI's mission is to develop reliable AI systems for the world's most important decisions. It provides the high-quality data and full-stack technologies that power the world's leading models, partnering with organizations such as Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.