We are looking for a talented Middle/Senior DevOps Engineer to join our team. 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 selecting the best-fit tools that align with the client's current infrastructure, seamlessly integrating 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. Our California-based client is a global e-commerce company that operates one of the largest and most established online marketplaces. For over 20 years , they have been connecting millions of sellers and buyers across more than 190 countries and territories. Their platform supports a wide range of products—from everyday items to unique and hard-to-find goods—and helps individuals and businesses grow by reaching a global audience. The company continues to develop its services with a focus on improving technology, user experience, reliability, and trust. Key Responsibilities: - Deploy Labelstudio Community Edition, OpenLayer, 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 - Preferably partial overlap with Pacific Time Zone (PT) 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 like Tekton - Knowledge of networking, security, and storage configurations in Kubernetes - Proficiency in scripting languages such as Bash or Python - Knowledge of Java Spring Batch concepts and usage - Excellent problem-solving and communication skills - Ability to work independently and as part of a team - R&D; mindset with a strong focus on experimentation Nice to have: - Interest in AI tools and related technologies - Certification in Kubernetes (CKA or CKAD) - Experience with Labelstudio or similar data annotation tools Professional growth: - Challenging projects and mature teams - Personalized on-demand cross-company mentoring support to help you learn faster - Opportunities to share knowledge, mentor others, speak at events, and contribute to pre-sales - Direct communication with the customer - A friendly, supportive, and dynamic work environment - Care, comfort, and fun - A relocation package - Corporate events, outstanding parties, and team-building activities We offer: - Flexible working arrangements — remote, office-based, or hybrid - A competitive salary and comprehensive compensation package - Professional development tools (mentorship, tech talks, training, centers of excellence, and more) - Active tech communities with regular knowledge sharing #J-18808-Ljbffr