Middle DevOps Engineer

(#2306)

We are looking for a talented DevOps Engineer to join our team.

Our California-based customer is an American global e-commerce leader, one of the most popular and successful websites on the Internet. It provides platform services by connecting millions of sellers and buyers in more than 190 markets around the world. 

This project focuses on the integration of multiple AI tools to enhance the efficiency and cost-effectiveness of maintaining an internal AI platform. 

The solution will involve selection of best-fit tools that align with the client's current infrastructure, seamless integration of these tools to maintain a unified AI platform, implementing automated processes to reduce operational costs, and ensuring scalability and flexibility of the platform to accommodate evolving business needs.

Key Responsibilities:

• Deploy Labelstudio Community Edition and other tools on Kubernetes clusters
• Configure and manage Kubernetes resources to ensure high availability and performance of Labelstudio
• Monitor and troubleshoot issues related to the Kubernetes environment and Labelstudio application
• Implement security best practices for Kubernetes and Labelstudio deployments.
• Collaborate with development teams to facilitate continuous integration and continuous deployment (CI/CD) processes
• Document deployment procedures, configurations, and maintenance routines.
• Provide training and support to other team members on Kubernetes and Labelstudio management

Requirements:

• Proven experience in deploying and managing applications on Kubernetes
• Strong understanding of containerization technologies such as Docker
• Experience with CI/CD tools and processes
• Knowledge of networking, security, and storage configurations in Kubernetes
• Proficiency in scripting languages such as Bash or Python
• Excellent problem-solving and communication skills
• Ability to work independently and as part of a team
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• R&D mindset with a strong focus on experimentation 

Nice to have:

• Interested in AI tools and related technologies
• Certification in Kubernetes (CKA or CKAD).
• Experience with Labelstudio or similar data annotation tools