Cloud Enablement Engineer
Role Overview
This mid-level Cloud Enablement Engineer role involves creating technical content like guides, code samples, and webinars to help users adopt Confluent Cloud, focusing on real-time data use cases such as AI/ML integration and data warehousing. Day-to-day, you'll provide one-on-one support, collaborate with product teams, and engage with the community to educate users on Kafka and Flink. The impact includes empowering customers to effectively leverage streaming data platforms, enhancing their technical capabilities and driving platform adoption.
Perks & Benefits
The role is fully remote with flexible time zones, as implied by working across time zones and backgrounds. It offers a collaborative, inclusive culture that values diverse perspectives and continuous learning, with opportunities for career growth through community engagement and cross-team collaboration. Benefits likely include standard tech perks such as health insurance and professional development support, fostering a proactive and supportive work environment.
Full Job Description
We’re not just building better tech. We’re rewriting how data moves and what the world can do with it. With Confluent, data doesn’t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.
It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together.
One Confluent. One Team. One Data Streaming Platform.
About the Role:
As a Cloud Enablement Engineer at Confluent, you will be at the intersection of engineering and education, empowering our users and prospects with the knowledge and skills to leverage Kafka and Flink on Confluent Cloud effectively.
You will be responsible for guiding our valued users to get started with Confluent Cloud by holding one-on-one conversations and by creating 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 like Real Time Data Warehousing, Migration from Open Source Kafka, Custom Connector set up, integrating with AI and ML tools etc.
What You Will Do:
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 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.
What You Will Bring:
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 (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.
What Gives You an Edge:
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.
Ready to build what's next? Let’s get in motion.
Come As You Are
Belonging isn’t a perk here. It’s the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what’s possible.
We’re proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.
Privacy Statement
Confluent is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. By proceeding with this application, you understand that Confluent will share your personal information with other IBM affiliates involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here.
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