Applyđź“Ť United States
🔍 AI technology, ecommerce, fashion
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
- Experience as a DevOps Engineer or similar role with a strong portfolio of projects.
- Strong experience with NVIDIA tools specifically, Kubernetes tools is highly preferred.
- Strong experience working with machine learning and AI GPU hardware, infrastructure, and workflows.
- Strong experience with cloud platforms such as AWS and Azure as well as experience in deploying and managing applications in a cloud environment.
- Familiarity with databases (SQL and NoSQL), web servers, and UI/UX design.
- Experience with GPUs and Lustre file systems inside Kubernetes.
- Experience with Docker, Kubernetes, and CI/CD tools is highly desirable.
- Excellent problem-solving skills, attention to detail, and the ability to work in a fast-paced, deadline-driven environment.
- Strong communication and collaboration skills, with the ability to work effectively in a remote or onsite team setting.
- Must provide link to GitHub account.
- Manage GPU's and ML/AI workflows
- Designs, implements, and maintains scalable tools and processes for quality and secure software development life cycle
- Collaborate closely with development and design teams to identify and address errors
- Implement robust DevOps services to power web applications, ensuring high performance, security, and scalability.
- Apply best practices for continuous integration and continuous deployment (CI/CD) with a focus on automation and infrastructure as code.
- Monitor, troubleshoot, and optimize application performance and reliability.
- Continuously improve processes and tools to enhance productivity
- Stay up-to-date with emerging trends and technologies in web development, cloud computing, and DevOps practices.
- Ensure compliance with industry best practices and organizational policies
- Contribute to a culture of technical excellence, teamwork, and continuous learning within the engineering team
AWSDockerSoftware DevelopmentSQLCloud ComputingKubernetesMachine LearningAzureNosqlCollaborationCI/CDDevOps
Posted 2024-09-20
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