仕事内容
<p>As Scale's product portfolio and customer base expand, we are seeking skilled <strong>DevOps Engineers, Public Sector</strong> 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.</p>
<p>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. While direct ML expertise is not required, a desire to learn and integrate ML components into the lifecycle is essential.</p>
<p><strong>Must have:</strong></p>
<ul>
<li><strong>At least an active TS/SCI clearance and the ability & willingness to up level to CI Poly. This is a requirement and candidates will not be considered who do not hold at least a TS/SCI clearance.</strong></li>
</ul>
<p><strong>You will:</strong></p>
<ul>
<li>Design, develop, and maintain robust CI/CD pipelines to automate the deployment of our lowside and highside products.</li>
<li>Collaborate closely with product and engineering teams to enhance existing application code for improved compatibility and streamlined integration within automated pipelines.</li>
<li>Contribute to the overall architecture and design of our deployment systems, bringing new ideas to life for increased efficiency and reliability.</li>
<li>Troubleshoot and resolve complex deployment issues, ensuring minimal disruption to development cycles.</li>
<li>Develop a deep understanding of our product and ML architectures to facilitate seamless integration and deployment.</li>
<li>Document pipeline processes and configurations
求めるスキル
Python
LoRA
Kubernetes
Docker
AWS
GCP
Azure
MLOps