DevOps and Cloud Engineer - Artificial Intelligence

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Job Overview

As a DevOps and Cloud Engineer focusing on Artificial Intelligence at Velocity Tech, you will play a pivotal role in bridging the gap between development and operations by implementing best practices for integration and continuous deployment. You will collaborate with software engineers and data scientists to optimize and manage the infrastructure that supports AI solutions, ensuring smooth deployment and scalability of cloud-based applications. Your expertise will drive the automation of processes and enhance operational workflows, all while maintaining high standards of security and compliance.

Job Responsibilities

• Design, deploy, and manage scalable cloud infrastructure solutions for AI applications.
• Implement CI/CD pipelines to streamline deployment processes and enhance team productivity.
• Monitor system performance, availability, and security, and identify areas for improvement.
• Collaborate with data scientists to optimize AI model deployment in cloud environments.
• Automate routine tasks using scripting and cloud orchestration tools.
• Develop and maintain documentation related to systems, processes, and configurations.
• Participate in troubleshooting and resolving operational issues in a timely manner.
• Evaluate and recommend new tools and technologies to improve development and operational efficiencies.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum of 3 years of experience in DevOps or Cloud Engineering roles.
• Strong proficiency with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with CI/CD tools like Jenkins, CircleCI, or GitLab.
• Solid understanding of containerization technologies, especially Docker and Kubernetes.
• Proficiency in scripting languages such as Python, Bash, or PowerShell.
• Familiarity with AI/ML frameworks and tools is a plus.
• Strong problem-solving skills and the ability to work independently.

Technologies & Tools

The DevOps and Cloud Engineer at Velocity Tech will utilize a diverse array of technologies and tools that include but are not limited to: AWS/Azure/Google Cloud for cloud infrastructure, Docker and Kubernetes for container management, Terraform for infrastructure as code, Jenkins for continuous integration and deployment, and monitoring tools like Prometheus and Grafana. Familiarity with AI/ML libraries such as TensorFlow or PyTorch will also be essential for optimal performance in this position.

Ideal Candidates

Ideal candidates for this role are proactive, detail-oriented individuals who possess a strong analytical mindset and are passionate about leveraging cloud technology to enhance Artificial Intelligence solutions. They thrive in collaborative environments and demonstrate excellent communication skills, enabling them to work effectively across multidisciplinary teams. A genuine curiosity for learning new technologies and methodologies, along with the ability to adapt to rapidly evolving scenarios, will serve candidates well in this dynamic role.