DevOps Engineer, Scale AI

• While direct ML expertise is not required, a desire to learn and integrate ML components into the lifecycle is essential
• 2-3 years of experience as a DevOps Engineer, DevSecOps Engineer, Software Engineer with a strong focus on CI/CD, or a similar role
• Proven track record of building or significantly enhancing CI/CD pipelines
• Experience configuring and adapting application code to integrate seamlessly with evolving CI/CD environments
• Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP)
• Strong proficiency in scripting and automation (e.g., Python, Bash, PowerShell)
• Familiarity with various CI/CD platforms (e.g., 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 finding automated solutions to complex problems
• Basic understanding of security best practices in software development and an eagerness to integrate them
• A hunger for learning new technologies, particularly in the realm of integrating ML into automated workflows
• Strong problem-solving, analytical, collaboration, and communication skills
• Possession of an active Secret or TS/SCI clearance is beneficial, but not a requirement, for this Public Sector position

Desirable

• As Scale's product portfolio and customer base expand, we are seeking skilled DevOps Engineers, Public Sector to be at the forefront of building out and enhancing our CI/CD pipelines. You will play a crucial role in streamlining our Software Development Life Cycle (SDLC) through collaborative efforts, moving us from a state of manual, disparate deployments to a more unified and automated system
• These engineers will gain a deep understanding of our core products' architecture and composition, enabling them to effectively deploy and manage these systems when needed. A critical aspect of this role will be seamlessly integrating various machine learning (ML) tasks and updates into our SDLC, transforming currently separate ML components into a cohesive and automated workflow
• Design, develop, and maintain robust CI/CD pipelines to automate the deployment of our lowside and highside products
• Collaborate closely with product and engineering teams to enhance existing application code for improved compatibility and streamlined integration within automated pipelines
• Contribute to the overall architecture and design of our deployment systems, bringing new ideas to life for increased efficiency and reliability
• Troubleshoot and resolve complex deployment issues, ensuring minimal disruption to development cycles
• Develop a deep understanding of our product and ML architectures to facilitate seamless integration and deployment
• Document pipeline processes and configurations to ensure maintainability and knowledge transfer
• Proactively incorporate security best practices into all stages of the CI/CD pipeline, building security into our development processes
• Drive standardization and foster collaboration across different product teams to achieve a unified and efficient SDLC