Middle/Senior DevOps Engineer (#3355)

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 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.

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 0 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
• Preferable 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 use.
• 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:

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

Professional growth:

• Strong engineering culture
• Challenging projects and mature teams
• Personalized on-demand cross-company mentoring support enabling you to learn new things faster
• Plenty of opportunities to share knowledge and get more experience such as opportunity to mentor others, speak at events, and contribute to pre-sales
• Direct communication with the customer
• An individual education budget
• A friendly, supportive and dynamic work environment
• Care, comfort and fun
• A relocation package
• Flexible working hours
• Healthcare & sport benefits
• Corporate events, outstanding parties and team buildings