About the job
As Scale AI continues to broaden its product offerings and customer base, we are actively seeking talented DevOps Engineers in the Public Sector who will take a leading role in enhancing our Continuous Integration/Continuous Deployment (CI/CD) pipelines. Your contribution will be vital in optimizing our Software Development Life Cycle (SDLC), transitioning from manual, fragmented deployments to a cohesive and automated system.
In this position, you will develop an in-depth understanding of our core product architecture, allowing you to deploy and manage systems effectively. A key responsibility will involve integrating various machine learning (ML) tasks and updates into our SDLC, transforming isolated ML components into an integrated and automated workflow. Although direct ML experience is not mandatory, a genuine interest in learning and incorporating ML elements into our processes is essential.
Your Responsibilities:
- Design, develop, and maintain efficient CI/CD pipelines for our low-side and high-side products.
- Work collaboratively with product and engineering teams to enhance existing application code for better compatibility and streamlined integration within automated pipelines.
- Contribute innovative ideas to improve the architecture and design of our deployment systems, increasing efficiency and reliability.
- Troubleshoot complex deployment issues, ensuring minimal disruption to development cycles.
- Gain a comprehensive understanding of our product and machine learning architectures to facilitate seamless integration and deployment.
- Document pipeline processes and configurations for maintainability and knowledge transfer.
- Integrate security best practices into every stage of the CI/CD pipeline, ensuring security is a foundational element of our development processes.
- Encourage standardization and collaboration across various product teams to achieve a unified and efficient SDLC.
