Confluent/Kafka Engineer

Job ID Number

R5290

Employment Type

Full time

Worksite Flexibility

Remote

Job Summary

As the Confluent/Kafka Engineer, you will contribute to development of new features and improvements to existing platform, develop and maintain integrations with various application systems using Kafka connect, and contribute to continuous improvement initiatives.

Job Description

We are looking for a Confluent/Kafka Engineer for a contract-to-hire opportunity that is full-time and fully remote.

What You’ll Do

• Implement and maintain Kafka-based data streaming solutions based on provided designs and specifications

• Contribute to the development of new features and improvements to the existing platform

• Develop and maintain integrations with various applications and systems using Kafka Connect

• Monitor and maintain the health and performance of the Kafka cluster, escalating issues to senior engineers as needed

• Participate in troubleshooting and resolution of issues within the data streaming platform

• Contribute to the development and maintenance of documentation

• Participate in code reviews and ensure adherence to coding standards and best practices

• Proactively identify and address potential performance bottlenecks and scalability issues

• Contribute to continuous improvement initiatives

• Stay up to date on the latest Confluent Platform and Kafka technologies

What You’ll Need

Required:

• Bachelor's degree in Computer Science, Engineering, or a related field

• Experience as a developer/operator of the Kafka technology (NOT interested in candidates who set up clusters for others to use)

• Must have real-world experience setting up after Kafka real-time data streaming

• 2+ years of experience with Confluent Platform and Kafka

• Proficient in Java or other JVM languages (e.g., Scala, Kotlin)

• Experience with Kafka Connect, Kafka Streams, and ksqlDB

• Strong understanding of Kafka architecture and concepts (topics, partitions, consumers, producers)

• Experience with message queuing systems

• Familiarity with cloud-based environments (AWS, Azure, GCP)

• Excellent problem-solving and debugging skills

• Experience with CI/CD

• Ability to work independently and as part of a team. Excellent communication and collaboration skills.

Preferred:

• Experience with other streaming technologies (e.g., Spark Streaming, Flink)

• Experience with containerization technologies (e.g., Docker, Kubernetes)

• Experience with data visualization and analytics tools.

• Confluent Certified Engineer

Physical Demands

• Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards

• Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.

• Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor

#LI-JM1

Reasonable Accommodation Statement

If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to [email protected] or (888) 824 – 8111.

Equal Employment Opportunity Policy Statement

CAI is committed to equal employment opportunity. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability, or veteran status. All employment decisions are based on valid job requirements, including hiring, promotion, and compensation. Harassment and retaliation are prohibited.