Cloud Enablement Engineer , Kafka, Flink, AI - Confluent

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 ● Develop and maintain high-quality, well-documented guides for various setup, performance tuning, scaling needs that customers often have. ● Develop and maintain high-quality, well-documented code examples that illustrate the usage of Confluent Cloud with AI and ML tools such as Hugging Face, OpenAI, Mistral, RAG, etc. ● Create engaging and informative technical articles, tutorials, and how-to guides that cater to various levels of expertise. ● Host webinars and live coding sessions to walk through code examples and demonstrate Confluent Cloud's capabilities in real-time. ● Collaborate with the product and engineering teams to stay updated on Confluent Cloud features and best practices. ● Provide live technical support and guidance to users and prospects, helping them overcome challenges and successfully implement Confluent Cloud solutions. ● Participate in community forums and social media platforms to share knowledge and engage with the Confluent community.

 ● Bachelor's degree in Computer Science, Engineering, or a related field. ● Strong proficiency in Java or Python or C/C++ programming and experience in independently developing, testing and publishing high-quality code. ● Engineering Skills: ○ Solid understanding of distributed systems and streaming data architectures. ○ Experience with cloud infrastructure (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). ○ Knowledge of Terraform and Ansible ○ Familiarity with CI/CD pipelines and version control systems (e.g., Git). ○ Knowledge of data processing frameworks (e.g., Spark, Flink) and databases (SQL and NoSQL). ○ Ability to troubleshoot and optimize system performance. ● Excellent communication skills, with the ability to explain complex technical concepts in a clear and engaging manner. ● Self-motivated and proactive, with a passion for teaching and enabling others to succeed.

Nice to have: 

● 2+ years of experience setting up and working with Apache Kafka. ● A basic understanding of AI and ML concepts and experience integrating Kafka with AI tools such as Hugging Face, OpenAI, Mistral, RAG, etc. ● Experience in creating technical content such as articles, tutorials, and webinars.

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