Job Description

• India

What will you do?

• Ensure Reliability, Availability & Scalability of Kafka Clusters
• Collaborate with the team to ensure Kafka clusters meet reliability, availability, and scalability requirements.
• Optimize Kafka configurations and settings to enhance performance and stability.
• Design and implement effective clustering, partitioning, and topical strategies for efficient Kafka message processing.
• Develop and implement monitoring and observability solutions to gain insights into Kafka cluster performance and consumer behaviour.
• Develop robust consumers over Atlan's event processing engine (Numaflow) to ensure fault tolerance and reliability.

What makes you a match?

• Demonstrated expertise in deploying and managing applications using Kubernetes.
• Experience working with Custom Resource Definitions (CRD) to define and manage custom resources.
• Proven track record of working with Kafka and utilizing its features to build efficient and scalable solutions.
• Familiarity with Atlan's event processing engine (Numaflow) is a significant advantage.
• Demonstrated experience in scaling Kafka clusters and consumers to handle increased load and demand.
• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Proven ability to work effectively in a team-oriented, collaborative environment.