Middle DevOps Engineer
Tech Stack
Job Description
(#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 clustersConfigure and manage Kubernetes resources to ensure high availability and performance of LabelstudioMonitor and troubleshoot issues related to the Kubernetes environment and Labelstudio applicationImplement security best practices for Kubernetes and Labelstudio deployments.Collaborate with development teams to facilitate continuous integration and continuous deployment (CI/CD) processesDocument deployment procedures, configurations, and maintenance routines.Provide training and support to other team members on Kubernetes and Labelstudio managementRequirements:Proven experience in deploying and managing applications on KubernetesStrong understanding of containerization technologies such as DockerExperience with CI/CD tools and processesKnowledge of networking, security, and storage configurations in KubernetesProficiency in scripting languages such as Bash or PythonExcellent problem-solving and communication skillsAbility to work independently and as part of a teamFamiliarity 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 technologiesCertification in Kubernetes (CKA or CKAD).Experience with Labelstudio or similar data annotation tools