Senior Kafka Engineer (Contract) Singapore

tangspac professional services; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

tangspac professional services is seeking an experienced Kafka/DevOps Engineer for a 12-month renewable contract with a banking client in Singapore. The role focuses on designing, implementing, configuring, and managing Apache Kafka environments and related real-time data streaming workloads.

You will deploy on Kubernetes, ensure high availability, and drive disaster recovery best practices. Ideal candidates bring 10+ years of IT experience, strong hands-on Kafka expertise, Kubernetes

Qualifications

• Bachelor’s degree in Computer Science or a similar relevant educational background is required.
• Minimum 10 years of overall IT experience.

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.

Skills

Apache Kafka

Kubernetes

CI/CD

DevOps practices

Education

Bachelor's degree in Computer Science

Tools

Docker

Linux scripting

Cloud platforms (AWS/Azure/GCP)

Job description

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.

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 | [e-mail]