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Open nowPosted 39 days ago

Senior Kafka Engineer Contract Singapore

Workable (global search)108,016 open roles

Where
Singapore
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Your applicationOpen nowSenior Kafka Engineer Contract SingaporeWorkable (global search) · Singapore

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 39 days ago

Workable (global search) median: 7 days open

The posting

12 months renewable contract Banking Client

Key Responsibilities

- Design, implement, configure, and manage Apache Kafka environments. - Support real-time data streaming and event-driven applications. - Configure and manage Kafka topics, partitions, replication, consumer groups, producers, and consumers. - Monitor Kafka cluster performance, availability, capacity, and overall platform health. - Troubleshoot and resolve production issues related to Kafka, messaging, connectivity, and performance. - Deploy and manage Kafka-related applications and services on Kubernetes. - Collaborate with development, infrastructure, DevOps, and application teams to onboard and support applications using Kafka. - Implement high availability, scalability, security, and disaster recovery practices. - Automate platform deployment, configuration, monitoring, and operational processes. - Participate in architecture discussions and recommend improvements to the real-time streaming platform. - Provide technical guidance and support to junior engineers and other technology teams.

Key Requirements

- Minimum 10 years of overall IT experience. - At least 2 to 3 years of strong hands-on experience with Apache Kafka. - Strong practical experience with Kubernetes. - Bachelor’s degree in Computer Science or a similar relevant educational background is required. - Experience supporting real-time or event-driven applications in a production environment. - Good understanding of Kafka architecture, including brokers, topics and partitions, replication, consumer groups, producers and consumers, high availability, and fault tolerance. - Experience with monitoring and troubleshooting distributed systems. - Familiarity with Linux and scripting or automation. - Experience with CI/CD, Docker, and DevOps practices is advantageous. - Knowledge of cloud platforms such as AWS, Azure, or GCP is an advantage.

EA Reg. No. 25C2690 | EA License No. R1330510 | [email protected]

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