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Kafka Engineer / Senior Kafka Engineer - Part-Time

salary Salary :

$5,000 - 7,000 monthly

Job Description - Kafka Engineer / Senior Kafka Engineer - Part-Time

We are seeking Singapore-based Engineers with strong experience in Apache Kafka and/or Confluent Kafka. Candidates with Java development expertise and experience supporting enterprise-scale event-driven platforms are highly preferred.

Key Responsibilities

Administer, monitor, and maintain Kafka clusters across Production, UAT, and Development environments.

Deploy and manage Kafka clusters using KRaft and ZooKeeper architectures.

Configure and maintain topics, partitions, replication, retention policies, SSL/TLS encryption, and ACL-based security.

Troubleshoot Kafka-related issues including broker failures, consumer lag, replication delays, partition imbalances, and performance bottlenecks.

Perform capacity planning, performance tuning, and high-availability implementations.

Develop, support, and troubleshoot Java/Spring Boot applications integrated with Kafka.

Implement monitoring and alerting using Prometheus, Grafana, Confluent Control Center, and Splunk.

Support CI/CD and automation initiatives using Jenkins, Git, Docker, Kubernetes, Ansible, and Linux scripting.

Collaborate with Development, QA, and Operations teams to deliver reliable and scalable event-driven solutions.

Required Skills

Strong hands-on experience with Apache Kafka and/or Confluent Kafka

Experience with Kafka Connect, Schema Registry, ksqlDB

Knowledge of KRaft and ZooKeeper architectures

Strong proficiency in Java (preferred) and Spring Boot

Linux administration (RHEL/Ubuntu)

Monitoring tools such as Prometheus and Grafana

CI/CD tools including Jenkins and Git

Container technologies: Docker and Kubernetes

Strong troubleshooting and production support skills

Preferred Qualifications

Experience working in Banking, Healthcare, or other regulated environments

Familiarity with Agile/Scrum methodologies

Exposure to DevOps and automation practices

Knowledge of database technologies such as Oracle, MongoDB, or SQL Server

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