Cloud Enablement Developer
3 weeks ago
As a Cloud Enablement Engineer at Confluent, you will play a key role in empowering our users and prospects to leverage Kafka and Flink on Confluent Cloud effectively. Your primary responsibility will be to guide our valued users through one-on-one conversations and create high-quality technical content, including code samples, articles, and webinars, that demonstrate how to set up and use Confluent Cloud for various real-time data use cases.
Key Responsibilities:
- Develop and maintain high-quality guides for various setup, performance tuning, scaling needs that customers often have.
- Develop and maintain high-quality 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 technical support and guidance to users and prospects, helping them overcome challenges and successfully implement Confluent Cloud solutions.
Requirements:
- 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). Familiarity with CI/CD pipelines and version control systems (., Git). Knowledge of data processing frameworks (., 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.
Preferred Qualifications:
- 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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