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.
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.
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.
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 StatementConfluent 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.
Skills Required
- Bachelor's degree in Computer Science, Engineering, or related field.
- Strong proficiency in Java or Python or C/C++ and experience developing, testing, and publishing code.
- Solid understanding of distributed systems and streaming data architectures.
- Experience with cloud infrastructure (AWS, Azure, GCP) and containerization (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 written and verbal communication skills and ability to explain complex technical concepts.
- Self-motivated and proactive with a passion for teaching and enabling others.
- 2+ years of experience setting up and working with Apache Kafka.
- Basic understanding of AI/ML concepts and experience integrating Kafka with AI tools (Hugging Face, OpenAI, Mistral, RAG).
- Experience creating technical content such as articles, tutorials, and webinars.
Confluent Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Confluent and has not been reviewed or approved by Confluent.
-
Fair & Transparent Compensation — Pay is positioned as competitive to market-leading for engineering, product, and senior go-to-market roles, with broad satisfaction signals across much of the company. Compensation is framed as a structured package spanning base salary plus variable pay and equity components.
-
Equity Value & Accessibility — Equity participation via RSUs is repeatedly described as a meaningful part of total rewards, often cited as a generous contributor to overall package strength. Refresher grants and ongoing equity awards are also highlighted as part of the ownership proposition.
-
Leave & Time Off Breadth — Time-away programs are presented as comprehensive, including flexible/unlimited PTO, volunteer time off, and periodic company-wide recharge days. Philanthropy programs such as donation matching further broaden the non-cash rewards experience.
Confluent Insights
What We Do
Your data shouldn’t be a problem to manage. It should be your superpower. The Confluent data streaming platform transforms organizations with trustworthy, real-time data that seamlessly spans your entire environment and powers innovation across every use case. Create smarter, deploy faster, and maximize efficiency with a true data streaming platform from the pioneers in data streaming. Learn more at confluent.io.
Why Work With Us
At Confluent, we’re not just building better tech, we’re rewriting how data moves. No egos, no solo acts - just smart, curious people pushing toward something bigger, together. Belonging isn’t a perk here. It’s the baseline. Work from anywhere. Build with everyone. One Confluent. One team. whole new way of making data flow.
Gallery
